Agentic orchestration & multi-agent frameworks


Energy-proportional / carbon-aware ML tooling


Quantum error correction decoders (incl. neural)


FlashAttention core-kernel family + hybrid Transformer-SSM


langgenius/dify (148027★) — Production-ready platform for agentic workflow development.


labring/FastGPT (28849★) — FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letti


builderz-labs/mission-control (5634★) — Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.


iflytek/astron-agent (8611★) — Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.


deepset-ai/haystack (25841★) — Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, m


jnMetaCode/agency-agents-zh (16797★) — 🎭 266 个即插即用的 AI 专家角色 — 支持 Hermes Agent/Claude Code/Cursor/Copilot 等 18 种工具，覆盖工程/设计/营销/金融等 20 个部门。含 50 个中国市场原创智能体（小红书/抖音/微信/飞书/钉钉等）。搭配编排器 agency-orchestrator，一句话即可让多位专家按 DAG 自动协作。


weibocom/rill-flow (410★) —  Rill Flow is a high-performance, scalable workflow orchestration engine for distributed workloads and LLMs


bytechefhq/bytechef (900★) — Open-source platform that unifies AI agent orchestration and workflow automation — autonomy and precision in one platform.


graniet/llm (355★) — A powerful Rust library and CLI tool to unify and orchestrate multiple LLM, Agent and voice backends (OpenAI, Claude, Gemini, Ollama, ElevenLabs...) with a single, extensible API. Build, chain, evalua


liweiphys/layra (898★) — LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems powered by visual RAG and limitless visual multi-step agent workflow orchestration.


lofcz/LLMTornado (621★) — The .NET library to build AI agents with 30+ built-in connectors.


ThibautMelen/agentic-ai-systems (282★) — 🐔 Agentic systems explained with chickens. Workflows, agents & orchestration made simple. Mermaid diagrams included


rocketride-org/rocketride-server (4978★) — High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all f


ImFeH2/flowent (248★) — A workflow orchestration platform for multi-agent collaboration


Pipelex/pipelex (687★) — Declarative language for composable Al workflows. Devtool for agents and mere humans.


dataelement/bisheng (11501★) — BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SF


zhnt/loushang (530★) — AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance,   traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, K


AgenticGoKit/AgenticGoKit (163★) — Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade o


xorbitsai/xagent (264★) — Build personal agents and enterprise AI workforces that plan, delegate, use tools, and deliver real work — without brittle workflows.


linora-u/AgentLoom (89★) — Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.


i365dev/llm_agent (27★) — An abstraction library for building domain-specific intelligent agents based on Large Language Models (LLMs). LLMAgent provides a core architecture and behavior definitions that simplify the developme


swarmauri/swarmauri-sdk (104★) — Modular Python SDK and monorepo for AI agents, LLM integrations, tools, parsers, embeddings, vector stores, and extensible application workflows.


Alexli18/binex (62★) — Debuggable runtime for AI agent workflows. DAG pipelines, artifact lineage, and replayable runs.


yx-fan/multi-agent-orchestration-framework (27★) — Modular multi-agent orchestration framework powered by LangGraph and FastAPI.


Azure/intelligent-app-workshop (204★) — Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Micro


xeloxa/temodar-agent (58★) — Temodar Agent is an AI-powered WordPress plugin and theme security analysis platform built for security researchers, product security teams, auditors, and defenders. It combines AI agent workflows, mu


hereandnowai/master-langgraph-workflows-in-python-20-real-world-agent-projects-by-hereandnow-ai (45★) — Unlock the power of LangGraph v0.5.3 with 20 bite‑sized, beginner‑friendly agent projects—from chatbots and finance bots to multi-agent orchestrations. Developed by HERE AND NOW AI, this hands‑on


lostbean/jido_composer (30★) — Composable multi-agent workflows and LLM orchestrators with human-in-the-loop, checkpointing, and OpenTelemetry observability


CES-Ltd/TitanX (41★) — Enterprise AI Agent Orchestration Platform — Secure, Observable, Configurable. Multi-agent teams with IAM policies, n8n workflows, LangChain memory, LangSmith traces, NemoClaw security, OpenTelemetry,


redhat-community-ai-tools/UnifAI (40★) — Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Tempora


Pipelex/pipelex-cookbook (38★) — Cookbook for Pipelex, the declarative language for composable Al workflows. Devtool for agents and mere humans.


juglans-ai/juglans (12★) — AI workflow orchestration DSL — compiler, runtime & CLI


llm-use/llm-use (42★) — LLM orchestration toolkit for agent workflows: planner + workers + synthesis, optional router (LLM + learned   fallback), supports OpenAI/Anthropic/Ollama/llama.cpp, real scraping with caching, MCP se


fzn0x/watchtower (147★) — Watchtower is a simple AI-powered penetration testing automation CLI tool that leverages LLMs and LangGraph to orchestrate agentic workflows that you can use to test your websites locally. Generate us


pinkpixel-dev/mindbridge-mcp (34★) — MindBridge is an AI orchestration MCP server that lets any app talk to any LLM — OpenAI, Anthropic, DeepSeek, Ollama, and more — through a single unified API. Route queries, compare models, get second


kaivyy/kabot (20★) — Next-Gen Autonomous AI Engineer. Ditch the stateless chatbots. Kabot brings Stateful Hybrid Memory, zero-hallucination workflows, and persistent multi-agent orchestration to your local machine. 🦊🚀🛡


AKSINGH-0704/Team_Agents (15★) — Multi-agent AI system. Autonomous agents coordinating task execution, decision routing, and workflow orchestration using LangChain and LLM Model.


anurmatov/phleet (16★) — Open-source autonomous multi-agent AI platform. Dockerized agents driven by Claude or Codex, orchestrated with Temporal workflows and coordinated via Telegram.


ProjectLiminality/InterBrain (23★) — Open-source protocol integrating collective and artificial intelligence — LLM orchestration, agentic workflows, and RAG in a cross-platform TypeScript/Tauri app.


reworkd/AgentGPT (36256★) — 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.


e2b-dev/awesome-ai-agents (28644★) — A list of AI autonomous agents


ElricLiu/AutoGPT-Next-Web (2999★) — 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.一键免费部署你的私人AutoGPT 网页应用


idosal/AgentLLM (469★) — AgentLLM is a PoC for browser-native autonomous agents


ScarletPan/awesome-autonomous-gpt (283★) — A curated list of awesome projects and resources related to autonomous AI agents.


jbesomi/awesome-autonomous-agents (41★) — Curated list of tools, frameworks and resources to work with autonomous agents (autoGPT)


IntelligenzaArtificiale/Free-Auto-GPT (2532★) — Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation do


alexk1919/MackGPT (29★) — Create, customize, and launch autonomous AI Agents in your browser. 🤖🚀


Curated-Awesome-Lists/Awesome-Auto-GPT (41★) — A curated list of awesome projects related to AutoGPT, an autonomous AI agent that can perform tasks independently using ChatGPT.


edmar/whenx (52★) — Event-Driven Autonomous Agents. create alerts in the form of "When X happens, then do Y". In this initial version, we are only supporting email alerts in the form of "When X happens, send me an email


iskandarreza/ai-worker-js (10★) — Implementation of autonomous AI agent(s) in JS using Webworkers


fredsiika/gpt-vector-agent (8★) — 🧩 Interfacing with different LLMs-chains, vectorstore databases, and autonomous agents.


0xMerl99/Agent-World-Protocol (39★) — The open world for autonomous AI agents on Solana Trade. Build. Fight. Earn. Explore. Connect your AI agent to a persistent shared world. Trade real SOL, build structures, form guilds, fight for terri


web007-spec/AutoGPT-Next-Web (5★) — 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.


iskandarreza/loopgpt-next (7★) — UI frontend for loopgpt self-prompting autonomous AI agent, to aid in debugging initial prompts


naveen123bh/autogpt (0★) — autonomous agent


Javierlozo/langchain-autogpt (0★) —  Autonomous Agent | AutoGPT


SpyderRex/SquadAI (3★) — An autonomous agent program based on crewAI and seeks to be a cross between crewAI and AutoGPT


BChip/ChipPT (0★) — Research on autonomous agents, langchain, autogpt, etc


bobmhong/autogpt-work (0★) — Instructions and settings for use with Auto-GPT autonomous agents


api-evangelist/autogpt (0★) — AutoGPT is an autonomous AI agent framework that chains LLM calls to accomplish complex tasks independently.


sunny-raj-sah/Replit-Agent-v1-A-Mini-Autonomous-AI-Agent (0★) — This project is a **reverse-engineered implementation** of a real-world AI agent architecture inspired by systems like **Replit Agent**, **Devin**, **Cursor Agents**, and **AutoGPT**.


dick2450121353-dot/autonomous-problem-solving (0★) — AI Agent 自主问题处理方法论 — 融合 ReAct + Reflexion + Plan-and-Solve + AutoGPT + Self-Refine


Aiblogfirst/autonomous-ai-comparison (0★) — Add up to 350 characters describing the repository, e.g., "A comprehensive comparison of AutoGPT, BabyAGI, and GodMode autonomous AI agents."


ChhunT17/Autonomous-AI-Agent (1★) — 🤖 Monitor $BTB on Twitter, engage with the community, and provide real-time information using AI-powered responses for BTB Finance.


adithi-md/AutoGPT-Ollama-Qwen (0★) — Agentic AI project built using AutoGPT, Docker, Ollama, and the Qwen2.5:7B large language model. This project demonstrates the deployment of an autonomous AI agent platform with workflow-based task ex


UdayTeja21/Autogpt (1★) — AutoGPT is an AI-powered automation system that can independently plan, reason, and execute tasks with minimal human input. It integrates large language models with real-world tools (APIs, web automat


aiwaves-cn/agents (5938★) — An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents


agentuniverse-ai/agentUniverse (2293★) — agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.


TransformerOptimus/SuperAGI (17605★) — <⚡> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.


aielte-research/HackSynth (309★) — LLM Agent and Evaluation Framework for Autonomous Penetration Testing


aaronjmars/aeon (571★) — The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever.


wanshuiyin/Auto-claude-code-research-in-sleep (13092★) — ARIS ⚔ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works wi


Undertone0809/promptulate (512★) — 🚀Lightweight Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!


MervinPraison/PraisonAI (8354★) — PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with buil


jatingargiitk/saas-builder (222★) — AI-native SaaS framework that builds full-stack apps using autonomous AI agents


swarmclawai/swarmclaw (605★) — Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter,


jwentong/WirelessAgent_R1 (46★) — We introduce WirelessAgent, a novel framework that harnesses large language models (LLMs) to create autonomous AI agents for diverse wireless network tasks.


cordum-io/cordum (489★) — The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.


aviralgarg05/agentunit (7★) — AgentUnit is a pytest-inspired evaluation harness for autonomous agents and retrieval-augmented generation (RAG) workflows. It helps you describe repeatable scenarios, connect them to your agent stack


sagentic-ai/sagentic-af (78★) — 😎 Sagentic.ai Agent Framework - Sagentic.ai is a unified platform for building, running and scaling autonomous agents.


libraryofcelsus/Aetherius_AI_Assistant (315★) — A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.


alfredolopez80/multi-agent-ralph-loop (140★) — Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology,


openlegion-ai/openlegion (105★) — Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate agents that can do everything a human can do.


Ashutosh0x/arc-cli (19★) — ARC: High-Performance Agentic CLI Framework built in Rust for autonomous multi-agent code generation.


chaosync-org/awesome-ai-agent-testing (40★) — 🤖 A curated list of resources for testing AI agents - frameworks, methodologies, benchmarks, tools, and best practices for ensuring reliable, safe, and effective autonomous AI systems


xybruceliu/thoughtful-agents (39★) — A Python framework for building proactive LLM agents that simulate human-like cognitive processes. Enables agents to continuously generate and evaluate thoughts in parallel with conversations, and aut


gustavoeenriquez/MakerAi (189★) — The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Delphi 10.4+ (l


InquisiMind/digital-life (21★) — Digital Life · Life Engineering — A runtime framework for persistent, autonomous LLM agents


OpenCSGs/coagent (29★) — An open-source framework for building monolithic or distributed agentic systems, ranging from simple LLM calls to compositional workflows and autonomous agents.


ericwang915/PythonClaw (37★) — OpenClaw reimagined in pure Python — autonomous AI agent with memory, RAG, skills, web dashboard, voice input, daemon, and multi-channel support.


beidald/liliumai (94★) — Lilium AI: The ultimate personal AI agent framework for autonomous computer control. Featuring browser automation, shell execution, and multi-channel integration (WeChat/Telegram/Discord).


gwenlake/gwenflow (17★) — A framework for orchestrating applications powered by autonomous AI agents and LLMs.


kalaspuff/ai-assisted-task-executor (126★) — 🤖 A Task-Driven Autonomous Agent System as an AI-powered solution that leverages LLMs, vector search, and the LangChain framework to efficiently complete, generate, and prioritize tasks using a wide r


h4ckologic/bughunter-ai (50★) — Autonomous Bug Bounty Hunting Framework powered by Claude Code. 20 AI agents, state-machine orchestration, Burp Suite MCP, credential vault, LLM security track. Type 'hunt target.com' and let AI find


FrancescoStabile/omnigent (28★) — Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.


LiXin97/agora-lab (47★) — Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboar


nirholas/three.ws (77★) — Open-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embed anywhere as a web component. Character


ktol1/RedTeam-Agent (62★) —  RedTeam-Agent: AI-Powered Autonomous Red Team Framework via Model Context Protocol. AI红队与内网渗透自动化框架，支持 gogo, fscan, httpx, nuclei, impacket, playwright 等 15+ 渗透工具，让 LLM 直接化身安全审计黑客。


sarthak1095/Redefining-QA-Multi-Agent-AI-Automation-Using-MCP-Protocol (16★) — This project demonstrates how to build a multi-agent AI automation framework using the Model Context Protocol (MCP). The setup enables LLMs (Claude AI in this case) to autonomously execute UI flows, A


TenchiNeko/standalone-orchestrator (20★) — Autonomous multi-agent coding system on local LLMs. No frameworks, no API costs. Plan → Build → Test → Fix with Qwen 80B + 7B on your own GPUs.


EnvisionMindCa/OS-Agent (5★) — LLM agent framework that can use Linux terminal autonomously!


simonstaton/AgentManager (23★) — Conduct autonomous Claude Code agents at scale safely. Human-on-the-loop orchestration platform with kill switch, cost tracking, and inter-agent messaging.


ai-agentswarm/agentswarm (20★) — A Recursive, Functional, and Type-Safe Framework for Autonomous AI Agents.


Micro-Novelty/IntegratedPipeline-Specialized-Non-LLM-AI-Agent-Framework (8★) — [~]  IntegratedPipeline is a standalone AI Agent Library for Non-LLM memory Augmented Agentic Framework, Specifically designed to provide Agentic capability for any Autonomous Agentic Framework locall


fu351/Doberman-Core (111★) — Doberman is an AI agent security framework for guardrails, prompt injection defense, runtime policy enforcement, tool-use permissions, agent monitoring, audit logs, LLM safety, autonomous workflow pro


kyegomez/awesome-multi-agent-papers (1597★) — A compilation of the best multi-agent papers


AIAnytime/Multi-Agents-System-from-Scratch (70★) — Multi AI Agents System from Scratch in pure python without any frameworks.


owshq-mec/ws-3-crew-ai-multi-agent (18★) — CrewAI & Sentinel


benitomartin/crewai-rag-langchain-qdrant (75★) — Collaborative Multi-Agent RAG with CrewAI


mesutdmn/Autonomous-Multi-Agent-Systems-with-CrewAI-Essay-Writer (45★) — This repository contains the source code for an autonomous multi-agent system built with CrewAI and LangChain. The project enables AI agents to collaborate on tasks such as researching, writing, and e


NisaarAgharia/AI-Agents (94★) — Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver,Crewai,etc


JiaxuanLiu-Arsko/VASPilot (107★) — An automatic tool utilizing multi agent framework CrewAI and MCP for VASP calculation.


GURPREETKAURJETHRA/AI-Agents (79★) — Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver, Crewai,etc


Abdulbasit110/Blog-writer-multi-agent (62★) — Blog Write multi agent AI is a custom multi-agent system designed to autonomously create high-quality, research-driven blogs. Using LangChain, Gemini 2.0-Flash-EXP, and Serper Web Search Tool, it auto


OneDuckyBoy/Awesome-AI-Agents-HUB-for-CrewAI (92★) — In this repository I will showcase my cool multi agent system projects with Crew AI, and will reference other cool projects on the subject : )


byrencheema/job-search-agent (35★) — Multi-agent job search system using CrewAI and Claude


The-Swarm-Corporation/Multi-Agent-Template-App (45★) — A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications


DataForScience/CrewAI (8★) — Deploy autonomous multi-agent AI teams to research, code, and solve tasks


kbhujbal/Multi-Agent-AI-Travel-Advisor (53★) — AI travel planner with 7 specialized agents, RAG, and tool-calling. Built with CrewAI & LangChain. Generates personalized itineraries with flights, hotels, activities, and cultural tips. Production-re


botextractai/ai-crewai-multi-agent (38★) — Multi AI agent system for financial analysis with CrewAI


bhargobdeka/multi-agent-apps (24★) — This repository will contain projects on multi-agent applications using frameworks such as crewai, langchain, gradio, hugging face etc.


Numb94/crewai-astock (55★) — 基于 CrewAI 多智能体协作的 A 股智能分析与推荐系统 | Multi-agent A-share stock   analyst built on CrewAI


adongwanai/AgentGuide (6693★) — https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成


The-Swarm-Corporation/Multi-Agent-RAG-Template (58★) — This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.


luandev/ComfyUI-CrewAI (63★) — This project aims to integrate Crew AI's multi-agent collaboration framework into the ComfyUI environment. By combining the strengths of Crew AI's role-based, collaborative AI agent system with ComfyU


aws-samples/sample-compliance-assistant-with-agents (29★) — Sample solution to automate tedious regulatory compliance processes using multi-agent systems


RN0311/CrewAISecurityAgent (14★) — This repository contains my implementation of building a Security Incident Management Multi-Agentic System.


hanantabak2/crewai_ai_business_consultant_on_streamlit (18★) — A multi-agent business consultant app on streamlit implemented using crewAI


AISquare-Studio/AISquare-Studio-QA (164★) — Setting up QA testing agents using playwright and crewAI


felixggj/multi-agent-ai-newsletter (29★) — Multi-Agent AI system that automatically retrieves the latest Football news and creates a newsletter


NoManNayeem/Langchain_CrewAI_Gemini-AI_Agents (14★) — Langchain_CrewAI_Gemini - An Gemini AI powered AI Agent (Multi-Agent) Project.


NousResearch/hermes-agent-self-evolution (4550★) — ⚒ Evolutionary self-improvement for Hermes Agent — optimize skills, prompts, and code using DSPy + GEPA


karthikscale3/dspyground (313★) — A tool kit for generating high quality prompts using DSPy GEPA optimizer


davidberenstein1957/dspydantic (318★) — DSPydantic: Auto-Optimize Your Prompts and Pydantic Models with DSPy


OmidZamani/dspy-skills (112★) — Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically


Laxminarayen/dspy-prompt-optimizer (1★) — Streamlit app to optimize prompts using all DSPy optimizers — BootstrapFewShot, MIPROv2, COPRO, Optuna, LabeledFewShot, GEPA. Upload a dataset, define inputs/target, compare optimizer scores side-by-s


Mahir-Isikli/ai-tinkerers-dspy-talk (19★) — DSPy prompt optimization demo from AI Tinkerers presentation


mozilla-ai/visual-dspy (15★) — Visual demo of DSPy's prompt optimization on Gradio


KazKozDev/dspy-optimization-patterns (12★) — A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce inferenc


nielsgl/dspy-optimizer (4★) — DSPy Prompt Optimizer


heathbrew/Qdrant-Dspy-ColbertV2 (5★) — building an efficient local semantic search application using ColBERT (Contextualized Late Interaction over BERT), DSPy (algorithmically optimizing LM prompts and weights), and Qdrant Vector Database.


immu4989/dspy-security-bench (4★) — Measure how DSPy prompt optimization affects the prompt-injection robustness of agentic LLM programs, using AgentDojo's attack suite.


emirhan-gazi/kaizen (7★) — Continuous prompt optimization for AI applications. Collect feedback, auto-optimize with DSPy, deliver as reviewable PRs.


juyangbai/MAS-PromptBench (5★) — A reproducible benchmark for studying when prompt optimization improves multi-agent LLM systems.


yotambraun/flowprompt (6★) — Type-safe prompt management with automatic optimization for LLMs. DSPy-style optimization, A/B testing, multimodal support, and more.


aijnek/dspy_multimodal (2★) — sample code for automatic multimodal prompt optimization using DSPy


Asirwad/DSPy-Prompt-Auto-Optimizer (2★) — A learning-focused exploration of programmatic prompt optimization using the DSPy framework.


saibhaskerraju/dspy-optimization (2★) — This Repository gives an Introduction to Dspy. The repo has all examples that explains the importance of using Dspy in regular projects when comparing it with prompt engineering.


jordan-barrett-jm/llm-page-extraction-gepa-dspy (4★) — Demonstrates how to use the GEPA prompt optimizer in DSPy to improve a financial statement page extractor.


tosinamuda/llama-finetuning-dspy (5★) — DSPy GEPA synthetic data generation for instruction tuning Llama 3 on consulting one-pager and executive slide tasks. Outputs JSONL for AWS SageMaker. Uses uv. Works with watsonx, OpenAI, or OpenRoute


AI-Maker-Space/DSPyEvent (1★) — DSPy Prompt Optimization Event


salaivishnu123/adaptive-rag-secure-assistant (0★) — Dspy prompt optimization


curiositech/prompt-learning-mcp (2★) — Stateful prompt optimization MCP server with embedding-based learning. Uses APE, OPRO, DSPy patterns.


nivlewd1/prompt-optimizer (2★) — MCP Server that offers high-performance prompt optimization server with real-time streaming, pattern-based enhancement, and comprehensive session management capabilities.


armanhm/DsPy-Prompt-Optimization-Simulator (0★) — DsPy Prompt Optimization Simulator


hersh-gupta/safety-prompt-optimization (0★) — Using dspy for safety optimization


nafew-azim/DSPy-FRAMEWORKS-MIPRO-BETTER-TOGETHER- (2★) — A modular implementation of DSPy using MIPRO and BetterTogether optimizers to automate and enhance prompt engineering for LLMs. Includes joint instruction and example optimization, as well as hybrid p


Ridhima-Jain/dspy-prompt-optimization (0★) — Automated prompt optimization using DSPy BootstrapFewShot for LLM workflows


aymeric-roucher/GAIA (152★) — Beating the GAIA benchmark with Transformers Agents. 🚀


gaia-agent/gaia-agent (16★) — GAIA-benchmark-ready super agent built on AI SDK v6 ToolLoopAgent


chiarapaglioni/GAIA-agents (4★) — Final project for the Hugging Face AI Agents course testing smolagents on the GAIA benchmark


kvpratama/gaia-agent (6★) — LangGraph-based AI agents tackling complex tasks from the GAIA benchmark. Final project for the Hugging Face Agents course. Includes ReAct, Reflection, Plan-Execute, and Multi-Agent systems.


sassarini-marco/gaia-agent (5★) — A modular benchmarking framework for evaluating the performance and collaboration of multi-agent AI systems against the GAIA (General AI Agent) benchmark suite


e-alizadeh/GAIA-Agent (6★) — 🤖 AI Agent for answering GAIA Benchmark questions (Final Assignment of HuggingFace 🤗 Agents Course)


fisherman611/gaia-agent (5★) — "GAIA Agent: An AI system automating solutions for the GAIA benchmark with tools for reasoning, code execution, data interpretation, and multimodal tasks."


jungwoonshin/agent-benchmark (0★) — GAIA Dataset Challenge


sunjilgahatraj1/Autonomous-AI-Agent (0★) — GAIA Benchmark Autonomous AI Agent


sagar-garg/ai-agent-huggingface-project (0★) — Final Project Passing GAIA benchmark


Jomonsugi/gaia-benchmark-agent (0★) — An agentic framework that answers GAIA benchmark questions


abdulmunimjemal/gaia-benchmark (0★) — Benchmark Claude Agent SDK against GAIA


Daksh-Chaudhary99/Agent_GAIA_Benchmark (0★) — AI Agent for optimal performance across the GAIA benchmark


andrea-acampora/gaia-benchmark-agent (0★) — Repository with a LangGraph general purpose AI Agent for final assignment of HuggingFace Agents course.


jaimeMontea/agent_gaia_benchmark (0★) — This is an AI Agent capable of answering some questions in the GAIA benchmark.


iamvibhav/Gaia-Benchmark-Agent (1★) — An intelligent AI agent designed to tackle the GAIA benchmark with advanced reasoning capabilities and multi-modal tools.


NicholasGoh/fastapi-mcp-langgraph-template (550★) — A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.


sonnysangha/ai-agent-langchain-langgraph-convex-clerk-ibm-wxtools-nextjs15 (151★) — Modern Next.js 15 AI agent platform with Claude 3.5, prompt caching, and intelligent tool orchestration via IBM WxFlows (turns any data source into a tool)


foreveryh/mentis (298★) — Mentis: A powerful multi-agent orchestration framework built on LangGraph.


FareedKhan-dev/scalable-rag-pipeline (148★) — A scalable RAG platform combining LangGraph agents, hybrid retrieval (Vector+Graph), and Ray orchestration on Kubernetes.


fancy1108/Clutch (68★) — Local AI multi-agent orchestration desktop app (Tauri · LangGraph)


laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama (36★) — Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.


bernatsampera/event-deep-research (248★) — AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.


realyinchen/AgentHub (98★) — A modular AI agent framework built with FastAPI (backend) and TypeScript (frontend), integrating LangChain/LangGraph-based agents for conversational intelligence, reasoning, and tool orchestration.


aws-solutions-library-samples/guidance-for-multi-agent-orchestration-langgraph-on-aws (35★) — This Guidance demonstrates how to effectively orchestrate multiple specialized AI agents to solve complex customer support challenges through different coordination mechanisms on AWS.


sinanuozdemir/advanced-agentic-ai-in-three-weeks (32★) — Build agents and workflows with RAG, MCP, harnesses, & multi-agent orchestration in a 3-week cohort


bobmatnyc/claude-multiagent-pm (30★) — Claude Multi-Agent Project Management Framework - AI-driven orchestration with LangGraph and OpenAI integration


langtail/ai-orchestra (83★) — Simple orchestration for AI Agents built around Vercel's streamText. Lightweight alternative to LangGraph for agent handoffs and state transitions.


samirpatil2000/agentic-template (33★) — A FastAPI-powered workflow orchestration system that integrates LangGraph to design, run, and manage AI Agents workflows


ANI-IN/Multi-Agent-Customer-Support (21★) — Multi-agent AI customer support system for a digital music store. Built with LangGraph, Gradio, and the Chinook database. Features supervisor   routing, music catalog & invoice agents, human-in-the-lo


HarimxChoi/langgraph-travel-agent (17★) — Production-ready LangGraph multi-agent system for travel planning. Async parallel orchestration across Amadeus, Hotelbeds, Twilio, HubSpot.


jonathanscholtes/azure-ai-foundry-agentic-workshop (26★) — Workshop for building intelligent AI solutions using Azure AI Foundry, featuring Vector Search, RAG, Agentic AI, and multi-agent orchestration with LangChain and Azure AI Search.


HimanshuMohanty-Git24/RakshaQuant (36★) — 🛡 RakshaQuant - AI-powered paper trading for NSE using LangGraph multi-agent orchestration. Features 4 LLM agents, learning feedback loop, LangSmith observability & risk guardrails. Built with Groq,


extrawest/fastapi-langgraph-chatbot-with-vector-store-memory-mcp-tools-and-voice-mode (25★) — A scalable AI chatbot platform built with FastAPI and LangGraph, featuring multi-agent orchestration, multi-tenant vector storage, cross-chat memory, and voice call capabilities through LiveKit integr


NVIDIA-AI-Blueprints/retail-shopping-assistant (75★) — The Retail Shopping Assistant is an AI-powered blueprint that provides a comprehensive interface for an intelligent retail shopping advisor. Built with LangGraph for agent orchestration, it features m


AzureCosmosDB/multi-agent-langgraph (6★) — A sample for multi-agent orchestration in Python using Azure Cosmos DB with LangGraph


yaalalabs/agent-kernel (58★) — The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native


prsaurabh/agentic-rag-orchestrated (9★) — LangGraph orchestrated RAG pipeline with grading, rewriting, and hallucination check


youhonda30/agent-skill-bus (2★) — Self-improving task orchestration framework for AI agent systems. DAG-based task queue + automatic skill quality monitoring + external change detection. Framework-agnostic (OpenClaw, Claude Code, Code


martymcenroe/AssemblyZero (105★) — Parameterized multi-agent orchestration framework for Claude Code and Gemini


BjornMelin/dev-pro-agents (12★) — 🤖 Advanced multi-agent orchestration framework built with LangGraph - Coordinate specialized AI agents for autonomous development, research, testing, and documentation workflows with intelligent task


TencentCloud/TencentDB-Agent-Memory (7010★) — TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.


memvid/memvid (15730★) — Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.


TeleAI-UAGI/Awesome-Agent-Memory (513★) — Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.


LycheeMem/LycheeMem (1114★) — Lightweight Long-Term Memory for LLM Agents.


Farzad-R/Agentic-LongTerm-Memory (54★) — This project contains a step-by-step guide on how to design an advanced agentic memory for your LLM based applications.


matrixorigin/Memoria (401★) — Secure memory management for AI Agents • Ensures data integrity • Reduces hallucinations • Maintains consistent long-term context


Dataojitori/nocturne_memory (1258★) — A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, s


AkiRusProd/llm-agent (55★) — LLM using long-term memory through vector database


TIMAN-group/PlugMem (160★) — ICML 2026 · Plug-and-play long-term memory for LLM agents


EDEAI/OpenFlux (221★) — ⚡ Open-source AI Agent desktop client — multi-LLM, long-term memory, browser automation & tool orchestration | Tauri v2


XortexAI/XMem (232★) — Xmem is a India's First open source multi-modal, multi-agentic long‑term memory layer for AI agents.


uukuguy/speechless (110★) — LLM based agents with proactive interactions, long-term memory, external tool integration, and local deployment capabilities.


morettt/my-neuro (1303★) — This project lets you create your own AI desktop companion with customizable characters and voice conversations that respond in just 1 second. Features include long-term memory, visual recognition, vo


MiG-NJU/PersonaVLM (109★) — [CVPR 2026 Highlight] PersonaVLM: Long-Term Personalized Multimodal LLMs


IAAR-Shanghai/Awesome-AI-Memory (1058★) — Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design.  Awesome-AI-Memory 是一个 集中式


TeleAI-UAGI/telemem (470★) — TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.


wuwangzhang1216/openDB (19★) — AI-native local database for files, search, and long-term agent memory.


ob-labs/memory-powermem (27★) — openclaw(clawdbot) Plugin: give your bot long-term memory with PowerMem—smart extraction, Ebbinghaus recall, multi-agent isolation.


Sibyl-Labs/Sibyl-Memory (91★) — Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.


memtomem/memtomem (10★) — Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.


jo-inc/pi-mem (66★) — Plain-Markdown persistent memory for AI coding agents. Long-term facts, daily logs, scratchpad, and semantic search — works with pi, Claude Code, and any LLM agent.


GizClaw/flowcraft (491★) — Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.


GoodAI/goodai-ltm-benchmark (87★) — A library for benchmarking the Long Term Memory and Continual learning capabilities of  LLM based agents. With all the tests and code you need to evaluate your own agents. See more in the blogpost:


k-kolomeitsev/data-structure-protocol (57★) — Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors


markmbain/aius (62★) — The long-term memory for your Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents


RussellCanfield/wingman-ai (32★) — A distributed platform for AI Agents. Supports multiple LLMs, orchestration/subagents, long term memory, dynamic UI and more.


pinkpixel-dev/mem0-mcp (98★) — ✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.


letta-ai/learning-sdk (44★) — Drop-in SDK for adding continual learning and long-term memory to any LLM agent.


tostechbr/memoryClaw (8★) — Universal Memory & Context Engine (MCP Server) to give Long-Term Memory to AI Agents.


sqliteai/adam (97★) — An embeddable cross-platform AI agent library written in C. Cloud and local LLMs, tool calling, long-term memory, voice, sessions, research mode, self-evolving loops. The SQLite of agent frameworks: s


achetronic/magec (99★) — Multi-agent AI platform with voice and text control. Visual workflows, web interface, and chat integrations (Telegram, Discord, Slack). Long-term memory, any LLM backend, extensible via MCP tools.


visendi-labs/uffe (11★) — A sub-100 lines, self-aware, independent, somewhat capabable LLM Agent with long term memory


MINE-USTC/AtomMem (23★) — AtomMem: a long-term memory system for personalized LLM agents.


0verL1nk/PaperSage (36★) — 📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGr


MMX920/ebbingflow (108★) — 真正记得住你、认识你、随你成长的 AI 长效认知记忆引擎  Long-term Cognitive Memory Engine for LLM Agents


Sompote/Tiger_bot (21★) — Agentic Swarm AI Agent with persistent long-term memory, multi-provider LLM support, token management, self-learning, and Telegram bot integration — designed for 24/7 autonomous operation on Linux.


YunghuiHsu/Long-Term-Agentic-Memory-With-LangGraph (8★) — Code examples and implementations from the course [Long-Term Agentic Memory with LangGraph](https://www.deeplearning.ai/short-courses/long-term-agentic-memory-with-langgraph/) by DeepLearning.AI.  Cou


mhndayesh/Easy-agentic-memory-system-easy-memory- (16★) — The Standalone Agentic Memory Tool is a lightweight drop-in proxy for standard LLMs. It provides two superpowers: On-Demand RAG to selectively search a massive semantic vector database, and Infinite A


ksm26/LLMs-as-Operating-Systems-Agent-Memory (8★) — This repository introduces the Letta framework, empowering developers to build LLM-based agents with long-term, persistent memory and advanced reasoning capabilities. It leverages concepts from MemGPT


FoundationAgents/MetaGPT (69241★) — 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming


Lynnooo/Multi-Agents (0★) — based in MetaGPT


cerqwq/multi-agent (0★) — Multi-Agent - 多Agent协作框架 (inspired by MetaGPT)


htoyll8/MetaGPT (0★) — Multi-agent System!


Mishuni/MetaGPT_BKD (0★) — multi-agent LLM security


edgemoorlf/metagptagents (0★) — A football commentator multi-agent framework based on metagpt


RizuSaki/ai-multi-agent-metagpt-guide (0★) — Panduan Komprehensif AI Multi-Agent MetaGPT - Implementation Guide, Best Practices, dan Development Workflow


mormerneed/multi-agent-policy-discussion (0★) — 基于MetaGPT的多智能体政策讨论可视化系统


Lynx-1221/CentadMetagpt (1★) — Multi-agent AI Framework to help simplify quantum computing algorithm development


k-rks/MetaGPT (0★) — 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming


Sai-Prannav/MetaGPT (0★) — 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming


Smiroofingcompany/MetaGPT (0★) — 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming


khoabd/MetaGPT (0★) — 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming


void-kusho/MetaGPT (0★) — 🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo


gridgentoo/MetaGPT (0★) — The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo


serkac1000/MetaGPT-1 (0★) — 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming


violettance/metagpt (0★) — This project is a web application generated by metagpt, a multi-agent framework, to explore the capabilities of autonomous AI in software development


jjj54788/multi-agent-debate (0★) — 基于 MetaGPT 架构的多智能体讨论系统，支持8种AI智能体协同辩论，实时评分和智能总结


Vincentwei1021/awesome-ai-agent-frameworks (4★) — 🤖 AI Agent Framework Guide (中文) | Scion · AutoGen · CrewAI · LangGraph · MetaGPT · Dify · Coze — 深度对比 + 选型决策树 | Chinese developer guide for choosing the right multi-agent framework


arvind-sundararajan/metagpt-sd-optimizer (0★) — A sophisticated multi-agent implementation by Arvind Sundararajan solving the complex problem of optimizing software development workflows using Bayesian inference and latency-sensitive orchestration


neverpanick/LV_METAGPT (0★) — **LV_METAGPT** is an autonomous multi-agent software framework transforming text prompts into complete apps. Like ChatDev, it orchestrates LLM agents (PM, Architect, Engineer, QA) to manage the full S


Open-Sourcery-UMD/Impact-of-Agent-Personality-on-Multi-Agent-System-Performance (0★) — Explores how agent personalities (detailed, succinct, critical) affect performance in MetaGPT’s fixed-role multi-agent system. Evaluates correctness, speed, and collaboration on coding benchmarks. Inc


joyozhang333-lgtm/awesome-ai-organization (3★) — Build your AI-powered team. Frameworks, role templates, workflows, and playbooks for running an organization with AI employees.


xinxin2021110/InkRealm (4★) — InkRealm is a multi-agent storytelling system for character recreation and co-writing. Inspired by MetaGPT, it uses structured roles, memory, and retrieval to keep characters consistent. It also suppo


octadecimal-ai/hydra-agent-orchestration-showcase (0★) — Sanitized portfolio mirror: multi-agent orchestration, adapters, MCP patterns, AdminJS and observability


TauricResearch/TradingAgents (91540★) — TradingAgents: Multi-Agents LLM Financial Trading Framework


openai/openai-agents-python (27705★) — A lightweight, powerful framework for multi-agent workflows


open-multi-agent/open-multi-agent (6527★) — TypeScript multi-agent orchestration framework. Describe a goal, a coordinator decomposes it into a task DAG that runs on any LLM: Claude, ChatGPT, Gemini, DeepSeek, or local models.


LazyAGI/LazyLLM (3855★) — Easiest and laziest way for  building multi-agent LLMs applications.


trypromptly/LLMStack (2304★) — No-code multi-agent framework to build LLM Agents, workflows and applications with your data


InternLM/MindSearch (6884★) — 🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)


ZHangZHengEric/Sage (1208★) — Multi-Agent System Framework For Complex Tasks


wjayesh/mahilo (479★) — mahilo: Multi-Agent Human-in-the-Loop Framework is a flexible framework for creating multi-agent systems that can each interact with humans while sharing relevant context internally.


TsinghuaC3I/MARTI (535★) — A Framework for LLM-based Multi-Agent Reinforced Training and Inference


huygiatrng/AlpacaTradingAgent (238★) — AlpacaTradingAgent: Multi-Agents LLM Financial Trading Framework and perform trades on alpaca


BUPT-GAMMA/MASFactory (486★) — A Graph-Centric Framework for Orchestrating Multi-Agent Systems with Vibe Graphing.


raga-ai-hub/RagaAI-Catalyst (16145★) — Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced anal


framerslab/agentos (589★) — TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.


langroid/langroid-examples (153★) — Using Langroid's Multi-Agent Framework to Build LLM Apps


a-agmon/rs-graph-llm (349★) — High-performance framework for building interactive workflow systems in Rust. Designed for complex workflows and multi-agent systems


Terry-cyx/MetaOpenFOAM (200★) — MetaOpenFOAM: an LLM-based multi-agent framework for CFD


ZJU-LLMs/Agent-Kernel (428★) — A MicroKernel Multi-Agents System Framework for Adaptive Social Simulation Powered by LLMs


yongchao98/multi-agent-framework (50★) — LLM multi-agent discussion framework for multi-agent/robot situations.


liquidos-ai/AutoAgents (705★) — A  multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents


nlpodyssey/openai-agents-go (262★) — A lightweight, powerful framework for multi-agent workflows in Go


cnsdqd-dyb/VillagerAgent-Minecraft-multiagent-framework (93★) — (VillagerAgent ACL 2024) A Graph based Minecraft multi agents framework


sii-research/siiRL (364★) — siiRL: Shanghai Innovation Institute RL Framework for Advanced LLMs and Multi-Agent Systems


wanxingai/LightAgent (1175★) — LightAgent: Lightweight Python framework for OpenAI-compatible agents with tools, memory, guardrails, tracing, lifecycle hooks, multi-agent collaboration, and workflows.


geteff1/Multi-agent-conversation-for-disease-diagnosis (85★) — This depository introduces a multi-agent conversation framework which facilitates in depth conversation among LLMs for complex disease diagnosis.


pettingllms-ai/PettingLLMs (198★) — [ICLR'26] Stronger-MAS: A RL Framework for multi LLM agent system; [arxiv] MetaAgent-X:  End-to-End Reinforcement Learning Automatic Multi-Agent Systems


DeepAuto-AI/automl-agent (145★) — [ICML-25] AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML


MinimalFuture/AgentMesh (305★) — A Multi-Agent framework that enables AI agents to collaborate effectively, helping you build powerful agent teams for solving complex tasks.


samholt/L2MAC (156★) — 🚀 The LLM Automatic Computer Framework: L2MAC


codefuse-ai/CodeFuse-muAgent (774★) — An Innovative Agent Framework Driven by KG Engine


TradingGoose/TradingGoose.github.io (71★) — A Multi-Agents LLM Financial Trading Framework for both individual stock analysis & portfolio management


0pusAI/Opus-Agent-Swarm-LLM-Framework (4★) — OPUS — bio-inspired multi-agent swarm architecture for collective LLM reasoning. Open-source. Ars Magna.


LLMP-io/Legion (117★) — A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.


FreedomIntelligence/TwinMarket (200★) — [NeurIPS 2025 & ICLR 2025 Financial AI Best Paper Award] A multi-agent framework that leverages LLMs to simulate socio-economic systems


ServiceNow/TapeAgents (318★) — TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle


adris-misra/multi-agentic-framework (11★) — UNS-native, cybersecurity-aware multi-agent reference architecture for U.S. small-to-mid manufacturers. Industrial agentic intelligence aligned with ISA-95, NIST AI RMF, and CMMC L2.


openai/openai-cs-agents-demo (6525★) — Demo of a customer service use case implemented with the OpenAI Agents SDK


strands-agents/harness-sdk (6456★) — Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.


qx-labs/agents-deep-research (779★) — An implementation of iterative deep research using the OpenAI Agents SDK


openai/openai-voice-agent-sdk-sample (255★) — Sample application to add voice capabilities to the Agents SDK


shahidali54/OpenAI-Agents-SDK (60★) — Learning OpenAI Agents SDK


AgentOps-AI/agentops (5684★) — Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and Ca


strands-agents/samples (805★) — Agent samples built using the Strands Agents SDK.


panaversity/learn-agentic-ai (4270★) — Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes


chatwoot/ai-agents (149★) — Ruby AI Agents SDK - Inspired by OpenAI Agents SDK


DannyMac180/meta-agent (416★) — An agent that uses OpenAI's Agents SDK to generate new agents


vercel/ai (25393★) — The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents


PacktPublishing/Building-Agents-with-OpenAI-Agents-SDK (27★) — Building Agents with OpenAI SDK, Published by Packt


strands-agents/sdk-typescript (696★) — A model-driven approach to building AI agents in just a few lines of code.


davidpc007/solana-agent-kit (54★) — solana ai agent toolkit for modular monorepo with plugin architecture, first-class support for langchain, vercel ai sdk, openai agents and claude


EnkrateiaLucca/oreilly-openai-agents-sdk (22★) — Repo for oreilly course: OpenAI Agents SDK


subhankaladi/OpenAI_Agents_SDK (24★) — Learning OpenAI Agents SDK


TanStack/ai (2870★) — 🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.


apssouza22/ai-agent-react-llm (17★) — A vanilla implementation of ReAct: Synergizing Reasoning and Acting in Language Models


Jeomon/Meta-Agent-with-More-Agents (47★) — The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent co


Anionex/LLM-ReACT-Agent (7★) — 手搓一个基于React推理框架的agent，支持添加工具 | Build a LLM agent using ReAct reasoning framework from scratch, supporting adding custom tools


Cerno-AI/Cerno-Agentic-Local-Deep-Research (68★) — Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows. Switch smoothly between cloud LLMs and self-hosted models, tra


thepradip/NexusSQL (8★) — The SQL agent that thinks before it queries ReAct reasoning, semantic caching, multi-LLM, 100+ tables, zero config


om-ai-lab/open-agent-leaderboard (36★) — Reproducible Language Agent Research


Balaji-R-05/visa-hackathon (11★) — An Agentic AI framework that combines deterministic rules with LLM reasoning for automated data quality auditing and compliance mapping.


wz289494/anyclaw (13★) — 基于 LangChain 的 CLI Agent 框架，采用 ReAct（Reasoning + Acting）模式。支持 OpenAI、Gemini、Qwen、DeepSeek、Kimi 等多种 LLM 提供商，提供流式响应、会话持久化、工具扩展、Token 追踪、消息压缩等特性。通过vibe coding进行简单的配置和工具添加，即可快速搭建通用或垂类 Agent，无需深入框架底层


banghuazhao/swift-ai-agent-demo (15★) — 🤖 Native iOS implementation of the ReAct (Reasoning + Acting) AI agent pattern with SwiftUI. Watch AI think, act, and solve problems step-by-step using OpenAI's GPT models.


vanillaSky00/reAgent (4★) — Minimal, hackable AI agent built on the ReAct reasoning loop. No frameworks — just a transparent Thought → Action → Observation cycle you can read and extend in an afternoon.


jasonclark/agentic-search-react (4★) — Agent uses an LLM (via Ollama) and ReAct (Reasoning + Acting) cycle to apply tools for searching and context-building. Flask app includes an interface that shows thinking patterns and reasons for a fi


Nishchal-29/reasoning-llm-agent (0★) — A Tool-Augmented Reasoning Agent powered by Qwen2.5-3B-Instruct, featuring execution-aligned SFT and GRPO training, live tool integration, multi-step ReAct reasoning, verification and self-correction


lamemind/react-agent-ts (2★) — A lightweight, streaming-first ReAct (Reasoning + Acting) agent that works with any LangChain-compatible model. Focus on agent logic while LangChain handles the provider complexity.


JohnMachado11/ReAct-Agent-from-Scratch (2★) — ReAct (Reasoning and Acting) agent built from scratch in Python. No libraries, no abstractions, simple and straight to the point.


zj-rrissh/ReAct-Agent (2★) — 基于 ReAct (Reasoning + Acting) 模式的智能助理，支持工具调用、自我反思和多后端 LLM。


xinzhel/lits-llm (3★) — A modular Python framework for building LLM agents with tree search (e.g., MCTS, BFS) and chain reasoning (e.g., ReAct) --- CiT [ACL2026 Findings], LiTS [ACL 2026 Demo], LiTS-Mem [Under Review]


AdilShamim8/Ask-the-Web-103 (8★) — Production-grade Perplexity-like AI agent with real-time web search, ReACT/ReWOO/Reflexion/Tree-Search reasoning, MCP & A2A protocols, multi-agent orchestration, streaming SSE API, and full evaluation


Eriri9876/thought-collapse-llm-agents (0★) — Cross-task diagnosis of Capacity Domination in ReAct agents — paper artefacts and reproduction code.


JosephG3001/ReActAgent (0★) — Small demo of the LLM ReAct (Reasoning and Acting) agent pattern in ASP.Net


rtj1/reflexive-llm-agent (1★) — A self-reflective LLM agent with tools, memory, and reasoning built using LangChain + ReAct + Reflexion. Modular FastAPI backend + Streamlit UI.


tushar2704/ReAct-Agents (0★) — This repository aims to guide you through the process of creating a ReAct (Reasoning and Acting) AI agent from the ground up.


fireflyframework/fireflyframework-agentic (4★) — In-process Python metaframework on Pydantic AI for production GenAI — composable, protocol-driven layers for agents & middleware, tools, reasoning (ReAct/CoT/ToT/Reflexion), memory, validation/QoS, DA


NMHelmy/conversational-ai-reasoning-agents (0★) — A Python-based AI agent using OpenAI API to answer weather queries and perform calculations via three reasoning approaches (Basic, Chain-of-Thought, ReAct). Integrates weather API and simulated tools


devxjitin/autourgos-react-agent (0★) — Self-contained ReAct (Reasoning + Acting) agent for the Autourgos framework — works with any OpenAI-compatible LLM


AlexAnzilex/llm-agents-playground (0★) — This repository contains experiments and notes developed while learning LLM agent architectures such as ReAct, tool-augmented reasoning, and LangGraph-style workflows.


fvilmos/AI_ReAct_agent (1★) — Implements a Reasoning and Acting AI agent with local LLM and tools usage in Python.


Mayankmishra15/Math_reasoning_agent (0★) — Built a Math Reasoning Agent using the ReAct (Reason + Act) framework that solves math problems step-by-step by combining LLM-based reasoning with Python-based tool execution. The system supports inte


gambletan/agent-engine (0★) — Agent reasoning engine with ReAct loop — LLM-agnostic, pluggable planning and tool execution


Farhad-Davaripour/ReAct_Agent_from_Scratch (0★) — This repository provides an introductory implementation of the ReAct (Reasoning and Acting) Agentic workflow.


ALucek/smolagents-guide (50★) — A walk through HuggingFace smolagents


mstrYoda/llm-agents-example (41★) — An example repository to use HuggingFace smolagents, Phidata and CrewAI frameworks with local LLMs


VladKha/drone-agent (3★) — Drone autonomy powered by Generative AI (HuggingFace smolagents + Google Gemini)


kazemihabib/Huggingface-Agents-Course-Marimo-Edition (6★) — Marimo versions of HuggingFace's Agents course notebooks.


TheColonyCC/smolagents-colony (0★) — smolagents tools for The Colony (thecolony.cc) — give any HuggingFace agent the ability to search, read, write, and interact on the AI agent internet


murataslan1/ai-agent-benchmark (26★) — AI coding agents comparison - 80+ agents, SWE-Bench leaderboard, pricing. Devin, Cursor, Claude Code, Copilot, and more. December 2025.


raymyers/swe-bench-util (8★) — Scripts for working with SWE-Bench, the AI coding agent benchmark


Vexp-ai/vexp-swe-bench (11★) — Open benchmark for AI coding agents on SWE-bench Verified. Compare resolution rates, cost, and unique wins.


HumphreySun98/repoagentbench (31★) — SWE-bench for your codebase — mine your merged PRs into local, contamination-free coding-agent benchmarks. Adapters: claude-code, aider (Opus 4.7 / GPT-5.5 / Sonnet 4.6 / Gemini 3.1 Pro).


linny006/agent-eval-harness (5★) — Live, open-source benchmark for comparing AI coding agents on real GitHub issues


benchflow-ai/agents (9★) — Minimal coding agents, easy to play with (opencode TUI) and easy to benchmark (ACP on BenchFlow) — built around mini-swe-agent


RobertKodes/repo-eval (0★) — SWE-bench compliant benchmarking for coding agents


jlab-nlp/dialogue_swe_bench (1★) — A benchmark dataset for dialogue-driven coding agents


rounakbende10/rh-swe-bench (1★) — Red Hat Specific Benchmarks for Coding Agents - 357 verified tasks in Harbor format


nripankadas07/patchgym (0★) — Turn any Git repository into a local SWE-bench-style coding-agent benchmark.


ttxs69/coding-agent-eval (1★) — Public, reproducible benchmark of CLI coding agents (Claude Code, Codex, Aider) on SWE-bench Verified. Live leaderboard: https://ttxs69.github.io/coding-agent-eval/


he-yufeng/IssueBenchKit (3★) — Turn a real GitHub issue into a repeatable coding-agent benchmark task


xavierxmorris/ai-coding-benchmarks-reference (0★) — Curated map of AI agent evaluation benchmarks (SWE-bench, Spider 2.0, BIRD, DS-1000, FinQA, ConvFinQA, TAT-QA, BFCL) with a guide on using them per task.


nvandessel/floop-bench (1★) — Open benchmark evaluating floop's impact on coding agent performance using SWE-bench Verified


RyanStoffel/context-layer-bench (0★) — Benchmark: GraphRAG MCP layer vs. baseline context-management for AI coding agents (Claude Code + SWE Bench Verified)


sergeyklay/agentprobe (0★) — Reproducible benchmark framework for testing hypotheses about AI coding agents


daseinlabs/code-compression-bench (0★) — Dasein Code-Compression Bench — a comprehensive, reproducible benchmark of context-compression layers for coding agents on SWE-bench Verified.


Sabofxx/agent-smith-42 (0★) — LLM code-agent framework — Thought→Code→Observation loop, process-isolated sandbox, MBPP + SWE-bench tracks, MCP tools, multi-model OpenRouter benchmarks. 42 School project.


ttxs69/awesome-coding-agent-eval (0★) — A curated list of benchmarks, harnesses, leaderboards, and tools for evaluating AI coding agents.


fl4p/kimi-tools (0★) — Kimi K2 (Moonshot) system prompts for coding agents + an A/B benchmark harness (cline/opencode/pi) and SWE-bench Verified eval


architehc/30b-moe-benchmarks (0★) — Comprehensive benchmarks for 30B MoE models on RTX 4090. Key finding: HumanEval ≠ SWE-bench - the 98% HumanEval model scores 0% on agentic tasks. Includes Nemotron, GLM-4.7-Flash, Qwen3-Coder comparis


t-timms/godspeed-coding-agent (0★) — Alpha — Security-first open-source coding agent. 4-tier permissions, hash-chained audit trails, 200+ LLM providers. Seeking testers.


huzaifa-57/Self-Sycophancy-on-SWE-bench (0★) — This repository implements the experiment described in “Experiment: Self-Sycophancy in SWE-bench PR Evaluation.” The goal is to measure whether LLM inflates the quality of its own pull requests relati


Anandesh-Sharma/awesome-agent-harnesses (0★) — 🤖 The definitive curated map of agent harnesses — concepts, design patterns, architectures, frameworks, coding agents, papers & benchmarks.


Euraika-Labs/swe-postcutoff-bench (0★) — Contamination-controlled multi-language agentic-coding benchmark — bug-fix tasks from real GitHub issues filed after Oct 2024 across Python, TS, Java, Go, Rust, Ruby, C/C++. Compatible with SWE-bench


BrandeisPatrick/openbench (4★) — Reverse-engineer the RL reward an LLM was trained on — from black-box agentic coding behavior alone. Tested on Opus 4.8, Fable 5, GPT-5.5.


Tajaddin/swe-mini-bench (0★) — Lightweight code-patch eval: 10 curated Python bugs × 3 agent strategies (zero-shot/scratchpad/scratchpad+critique). Real Haiku 4.5 numbers with named failure modes.


Uran-Company/awesome-ai-models-for-software-developers (0★) — Explore Awesome AI models revolutionizing dev in 2025: Claude Sonnet 4.5, Gemini 2.5 Pro, GPT-5 Codex, Grok Code Fast 1, Composer (Cursor 2.0), DeepSeek V3.2, Claude Haiku 4.5. Dive into benchmarks li


zuwasi/QuickSWE (0★) — QuickSWE: A fast, rigorous benchmark for AI coding agents. Not a stripped-down SWE-Bench — a practical alternative that runs on your laptop in hours with statistical multi-run analysis, regression det


flo7up/swe-rl-forge-lite (0★) — A lightweight, open-source framework that turns historical GitHub pull requests into reproducible, verifiable software-engineering tasks for training and evaluating coding agents.


Ryota-Kawamura/Functions-Tools-and-Agents-with-LangChain (16★) — You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extr


Oct4Pie/toolbridge (77★) — Enable tool/function calling for any LLM, in OpenAI and Ollama API formats, adding universal function calling to models without native support. Use local or cloud models with full agent capabilities.


ArslanKAS/Functions-Tools-and-Agents-with-LangChain (15★) — Explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction,


sjakati98/awesome-tools-for-agents (9★) — Awesome List of tools that can be used by conversational agents and LLMs. Geared towards APIs and tools that can be used in function calling.


HaxxorCialtion/SimpleTool (55★) — A method to use LLM function calling with real-time level speed, empowering latency-sensitive applications like robotics, game AI, and autonomous agents.


Violet-sword/AI-Agent-ToolCall-Function (3★) — A demonstration of dynamic tool calling with AI Agent using Ollama. Showcases how LLMs can invoke external Python functions in real time to augment their reasoning with live, actionable data.


pd2871/End-to-End-LLM-Projects (11★) — This repo contains code related to development of LLM based projects with Langchain and LLamaIndex. It uses RAG, Function calling, agents and tools as of now for interaction with data.


fullstacksam23/gofer (11★) — A Go-based CLI LLM agent that can read, write, and modify files and execute shell commands using tool-based function calling.


nghiavt2906/Multi-Agent-Code-Assistant-with-RAG-and-Tool-Use (4★) — 🤖 Production-ready multi-agent AI system orchestrating specialized agents (Planner, Coder, Reviewer, Debugger, Optimizer) with RAG, function calling, and multi-LLM support. Built with FastAPI, React,


Faruk-ops/ai-agent-function-calling (0★) — Simulations and JSON schemas for LLM tool use and agentic workflows.


kristofferv98/Agent_Nexus (5★) — Agentic framework for dynamic function calling across latest LLMs (gpt-4o, gemini-2.0-flash, groq modes, and anthropic models). Converts Python functions into provider-specific schemas for autonomous


paul-kingston/llm-tool-calling-agent (0★) — A tool-augmented AI agent built with LangChain and Groq, implementing the ReAct framework for dynamic reasoning and function calling. Supports streaming responses and modular tool integration using uv


JRA-CodingLab/tool-use-agent (0★) — A clean tool-use / function-calling agent (Anthropic tool use) that plans, calls tools, and completes multi-step tasks.


wmmthu/awesome-llm-agent-skills-papers (3★) — A curated list of papers, blog posts, and systems on skills for LLM agents — reusable, named capability units that an agent can store, retrieve, compose, and improve over time — together with closely


cerenaaa/ai-agents (0★) — Tool-using LLM agents with function calling, planning, and memory


emrekaanb/ai-agent-tool-use (0★) —  Agentic backend service in C#/.NET that orchestrates LLM function calling for multi-step tasks: SQL queries, REST API calls, and structured reports.


Yousefbadr0/Agent-with-Function-Calling (0★) — A simple AI Agent built with Qwen2.5-7B-Instruct that uses an LLM router and tool calling to perform tasks like weather lookup, search, news summarization, currency conversion, and calculations.


PrathameshLohar/Functions-Tools-and-Agents-with-LangChain (0★) — Repository for building structured, tool-aware LLM agents using function calling and LangChain Expression Language (LCEL).


Sanskar1724/AI_Agents (2★) — 🚀 Learn how to build AI Agents from scratch using Python. Covers LLM APIs, Tool Calling, ReAct, Agent Tracing, Code Agents, Native Function Calling, and real-world implementations without relying on f


chenkuanchung/llm-function-calling-lab (0★) — Production-grade AI Agent pipeline for an Order CS Assistant. Optimized with Qwen2.5-3B and LoRA fine-tuning for precise tool use. Features a FastAPI/Docker backend with hand-rolled ReAct logic, auto-


puru763/RAG-Powered-AI-Travel-Assistant-with-Real-Time-Tool-Calling-Workflow-Automation (2★) — Built a modular Spring Boot AI integration layer using Spring AI to connect enterprise microservices with multiple LLMs (OpenAI). Implemented a RAG pipeline with Qdrant for context-aware responses and


JohnnysGithubAccount/Smart-Home-Virtual-Assistant (0★) — A virtual assistant using function calling tool of LLM Agent System


iamMoafiaaNawaz/-Agentic-AI-Study-Helper (0★) — "Advanced AI agent using structured tool calling and  LLM function capabilities for educational assistance.  Built with LiteLLM and native function calling."


dlcastan/agentes (0★) — Agente conversacional en Python que usa Groq como LLM con soporte de tool use (function calling).


shashankg-dev404/react-native-gemma-agent (5★) — React Native SDK for on-device AI agents powered by Google Gemma 4. Run LLM inference locally with function calling, tool use, and a pluggable JS skill system — no server, no API key, 100% private. Bu


danidevadoss/agentic-ai-poc-local-llm (0★) — This project demonstrates an agentic AI system using LangGraph with a local LLM (Ollama) that can perform multiplication operations using function calling/tool usage.


balamurali0532/LLM-Agent (0★) — A tool-using LLM agent that calls a calculator, clock, and live weather API via native function calling. Demonstrates the agent decide-act-observe loop. Python, provider-agnostic.


abhinav744/functions-tools-and-agents-with-langchain (0★) — This project demonstrates how to use LangChain's agents framework in combination with tools and function-calling capabilities of LLMs (like OpenAI GPT) to perform dynamic, multi-step tasks with extern


jbamigbade/llm-customer-support-agent (0★) — An AI-powered customer support workflow built using OpenAI, Pydantic, structured JSON outputs, validation retry loops, and tool calling.  The system validates customer queries, converts natural langua


Karrrmma/CodeGuide-Agent (0★) — A tool-calling AI agent that answers questions about any codebase using OpenAI function calling, with project-boundary validation and ignore-list filtering.


hrishi0102/AI_Agent_DBintegration (0★) — Low level code of function/tool calling with llm and performing crud database operations using natural language prompts


sina158/llm-agent (0★) — A minimal but real tool-using AI agent: an agentic loop with function calling (calculator, datetime, text-stats, sandboxed file read). Runs offline via a deterministic MockLLM; plugs into OpenAI/Anthr


RJMcGinley/ai-agents (0★) — A basic implementation of an AI agent loop using LLM function calling for structured tool execution and state management.


nftushar/from-llm-to-agent (0★) — A lightweight agentic AI system that uses LLM function calling to interact with the local filesystem, execute Python code, and iteratively solve coding tasks through tool-based reasoning loops.


rdowning07/agent-sandbox (0★) — Toy tool-using LLM agent built as part of Boot.dev; experiments with function calling, iteration, and autonomous bug fixing.


SumitRoy154/The-Knowledge-Navigator-Agent (0★) — An LLM concierge using Function Calling & RAG. Retrieves/compares real-time course data, maintaining State Management with custom tools.


Samuelmartinezduran/agenteval (0★) — Framework open source para evaluar agentes LLM con function calling / tool use. Scoring por dimensión (tool accuracy, response quality, safety) + CLI, API y dashboard.


deejayy14/Career-Conversation-Agent (0★) — An agentic workflow using LLMs with function-calling, structured tool execution and contextual grounding to deliver human-like career interactions.


Ngozikam/ai-agent-plant-advisor (0★) — AI Agent demonstrating LLM tool calling, agent loops, structured function execution, and retrieval of plant care data using the Groq API.


POOJITHA29CJ/LLM (0★) — This project is a Math Orchestrator Agent powered by Google Gemini, SymPy, and NumPy. It solves quadratic equations, multiplies matrices, and computes eigenvalues/eigenvectors. Using agent-based routi


flashinfer-ai/flashinfer (5917★) — FlashInfer: Kernel Library for LLM Serving


HKUSTDial/flash-sparse-attention (723★) — Trainable fast and memory-efficient sparse attention


MoonshotAI/FlashKDA (450★) — FlashKDA: high-performance Kimi Delta Attention kernels


amorehead/jvp_flash_attention (180★) — Flash Attention Triton kernel with support for second-order derivatives


tlc-pack/libflash_attn (113★) — Standalone Flash Attention v2 kernel without libtorch dependency


kyegomez/FlashAttention20 (115★) — Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels


catswe/flash-attention-residuals (84★) — Triton kernels and PyTorch ops for Block Attention Residuals (AttnRes)


NX-AI/mlstm_kernels (89★) — Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.


dwvs2004/A.U.R.A.---FlashAttention-ASIC-Accelerator (8★) — SystemVerilog based ASIC accelerator for the FlashAttention kernel used in modern transformers


ZJY0516/fa-fwd (2★) — Flash-Attention-3 forward kernel


lavawolfiee/mini-flash-attention (24★) — Minimal FlashAttention in CUDA C++/CuTe: readable WMMA/CuTe kernels, no NxN workspace, up to 4.5x faster than naive PyTorch


Mog9/FlashAttention-CuPy (18★) — Flash Attention from scratch, tiled CUDA forward kernel, online softmax with running max and correction factor, recomputation trick in backward, O(N) memory, full forward and backward verified against


lyj20071013/Triton-FlashAttention (11★) — This repository contains multiple implementations of Flash Attention optimized with Triton kernels, showcasing progressive performance improvements through hardware-aware optimizations. The implementa


fms-zth/BlackFlash (23★) — Handwritten Flash Attention 2 CUDA kernel for Blackwell (SM120) with TMA, swizzle, double buffering & warp specialization


Tugbars/Flash-Attention-PTX-CUDA (7★) — Hand-written PTX flash attention kernel hitting 202 TFLOPS FP16 (86% of theoretical peak) on RTX 5080: beats or matches vLLM's FlashAttention-2 on most shapes without WGMMA, TMA, or datacenter hardwar


AICL-Lab/diy-flash-attention (4★) — Learn Triton by building FlashAttention from scratch — V2 kernels, persistent threads, mask DSL, profiling toolkit, bilingual docs


alexdremov/chill-attention (3★) — Fast, flexible, and chill sparse flash attention kernel


Alex4210987/qwen-tilelang-infer (4★) — High-performance TileLang fused kernels for Qwen3 inference (RMSNorm, RoPE, GQA Flash Attention, SwiGLU, W4A16 GEMV) with auto-tuning on A100


priyammaz/TritonKernels (3★) — A quick and annotated Demo going from Numpy to Flash Attention


tonbistudio/gqa-flash-attn-rtx3060 (11★) — Triton GQA flash attention kernel for NVIDIA RTX 3060 (sm_86). Matches or beats flash-attn2 on 9/10 workloads; up to 2.95x faster on long-context decode.


mvideet/Adaptive-Splash-Attention (2★) — Developing CUDA Kernel for Adaptive Sparse Flash Attention (Goncalves et. al)


ankitbelbase17/Flash-Attention-forward-Backward-pass-in-Trition-Kernel- (2★) — This project implements an efficient version of the Flash Attention mechanism , including both the forward and backward passes , using Triton , a programming language for writing highly optimized GPU


sumantrad/flash (0★) — flash type attention kernel tuning


danieleschmidt/dp-flash-attention (2★) — Re-implements Flash-Attention 3 kernels with integrated Rényi differential-privacy noise injection—zero overhead versus post-hoc clipping. First hardware-optimized DP implementation for attention mech


mpsops/mps-linear-attention (2★) — Metal kernels for Flash Linear Attention (DeltaNet/Qwen3.5) on Apple Silicon MPS


v1kstrand/triton_fused_rope_flash_attn (3★) — Triton FlashAttention kernel with fused 2D RoPE for fast ViT attention on modern NVIDIA GPUs.


Bruce-Lee-LY/decoding_attention (47★) — Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.


Mininglamp-AI/cider (333★) — W8A8/W4A8 inference + optimized SDPA on Apple Silicon — unlocking unused INT8 TensorOps in M5 for 1.2–1.9× faster LLM prefill, plus FlashInfer-inspired GQA decode attention for up to 1.6× SDPA speedup


syhya/mlsys26-flashinfer-solution-sparse-attention (2★) — Track B - Sparse attention mechanisms for long-context inference


Gloria72/flashinfer-kernel-bench (0★) — Correctness-first microbenchmarks for LLM attention and sampling kernels.


Colin6618/flashinfer-performance-benchmarks (0★) — A comprehensive benchmark for Flashinfer( a high-performance GPU kernel library for LLM inference). This project analyzes key performance characteristics of FlashInfer's single-decode attention kernel


Ammar-Alnagar/YAIE (1★) — YAIE (Yet Another Inference Engine) is an educational project designed to help students and developers understand how modern LLM inference engines work. This implementation is inspired by state-of-the


kamalrss88/FlashMLA (1★) — 🚀 Accelerate attention mechanisms with FlashMLA, featuring optimized kernels for DeepSeek models, enhancing performance through sparse and dense attention.


aymanelrody/FlashMLA (1★) — ⚡ Optimize attention mechanisms with FlashMLA, a library of advanced sparse and dense kernels for DeepSeek models, improving performance and efficiency.


kyegomez/Jamba (219★) — PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"


nick7nlp/Jamba_Paper_Reading (15★) — Paper reading: Jamba — Hybrid Transformer-Mamba LM (SSM → S4 → S6 → Jamba)


suzuki-2001/genomic-jamba (4★) — An implementation of a hybrid architecture combining Mamba2 and FlashAttention2.


FarzanehJafari1987/JambaTalk (5★) — [ACM TOMM] The official repository for the JambaTalk: Speech-Driven 3D Talking Head Generation Based on Hybrid Transformer-Mamba Model.


amlplugins/ai21-chat (0★) — Native ai21 SDK re-exported under @amlplugins — AI21 Chat Completions — Jamba 1.7 Large/Mini Mamba-Transformer hybrid models with streaming and tool calls.


sapmitra/SSM-Scope (9★) — State Space Model and SSM-Transformer Hybrid model characterization on consumer GPU and edge devices for very large context


gpantaz/retrievit (0★) — Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures


shivpratap10/HybridSegNet (0★) — HybridSegNet: A hybrid breast ultrasound image segmentation framework that integrates a Hierarchical Vision Transformer, Vision State-Space Model, and gated attention for accurate and robust lesion de


wallscreet/tinymamba (0★) — a minimal, educational implementation of a hybrid language model architecture combining state-space modeling (SSM) and transformer attention.


scraper-sky/cs224n_final_project (0★) — Investigating trade-offs between (Mamba) State Space Model, Transformers, and custom-implemented Hybrid Model in specialized reasoning tasks


chokevin8/MVHybrid (1★) — MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models (MICCAI 2025 COMPAYL Oral)


GraceE-Dion/MambaVision-MultiSpectral-Soil-Analysis (0★) — MambaVision Hybrid Mamba-Transformer backbone applied to multi-spectral laser soil moisture classification - extending the ViT baseline with state-space sequence modeling


GOKULPRASANTH-M/ViMbaFormer-A-Hybrid-Vision-Mamba-Unet-Architecture-for-UAV-Semantic-Segmentation (0★) — ViMbaFormer is a hybrid semantic segmentation framework designed for high-resolution UAV imagery. It integrates Vision Transformers, Mamba State Space Models, and a U-Net–style encoder–decoder to


harsh543/nemotron-vllm-l4-infra (0★) —  Nemotron-Hybrid vLLM Orchestrator This infrastructure is designed to serve the NVIDIA Nemotron-Nano-9B-v2, a hybrid model combining Transformer and Mamba-2 architectures. Running this on a single-nod


Anany25/Advanced-Colorization-GAN (0★) — A high-performing image colorization model in PyTorch, featuring a hybrid Vision Transformer (ViT) and U-Net generator. This GAN operates in the LAB color space and is stabilized with modern techniqu


ArkS0001/Hymba-1.5B (0★) — The model has hybrid architecture with Mamba and Attention heads running in parallel


fabian-bautista/mlx-hymba (0★) — Run NVIDIA Hymba on Apple Silicon via MLX. Hybrid attention + Mamba SSM heads, native to M1/M2/M3/M4, no CUDA required.


Dogacel/auto-gpu-kernel (147★) — Winner 🏆 (Agent-only) MLSys 2026 - FlashInfer AI Kernel Generation Contest for the DeepSeek Sparse Attention (DSA) track with an average speedup of 34.93x


MSDLLCpapers/triton-sigmoid (7★) — Fused sigmoid attention kernels for NVIDIA GPUs built with Triton.


Prachi-kushwaha/Triton-guide (3★) — A hands-on guide to writing fast custom GPU kernels in Triton :-- from your first vector addition to fused attention mechanisms.


Jerry2423/Triton-Attention-Kernels (0★) — GPU attention kernels for LLM inference, implemented from scratch in Triton.


mohamedabbouda/Flash-Attention-GPU-Kernel (0★) — Triton FlashAttention kernel with PyTorch autograd, correctness tests, and GPU benchmarks.


caroline430/kernel-learning (4★) — Everything-in-one-place GPU kernel programming for ML engineers. Covers CUDA, Triton, Flash Attention 2/3, paged attention, Mamba, speculative decoding, FP8/AWQ/GPTQ quantization, cuBLAS/cuDNN/CUTLASS


chinmaydk99/GPU_Optimized_Attention_Mechanisms (0★) — Starting with MultiHead Attention, kernels to optimize existing methods using triton or CUDA


Anggipratama17/triton-accelerated-attention (1★) — 🚀 Implement Triton GPU kernels for multi-head self-attention, enabling efficient understanding and benchmarking of core attention computations.


harrisonvshen/triton-accelerated-attention (1★) — Custom Triton GPU kernels for multi-head attention, including QK^T, softmax, and value aggregation with end-to-end benchmarking.


jrajath94/triton-inference-kernels (0★) — Fused softmax + Flash Attention in OpenAI Triton — 50x VRAM reduction at seq_len=2048


VisharadR/Mini-Transformer---GPU-optimized (2★) — a mini-Transformer inference engine with custom CUDA/Triton kernels (layernorm, QKV projection, attention, MLP) that beats a naïve PyTorch baseline on latency and throughput.


Bhavikupadhyay/triton-kernels (1★) — 22 progressive Triton GPU kernels, from elementwise ops to Flash Attention v2, featuring correctness tests and PyTorch throughput/TFLOPS benchmarks.


yifu-ding/MP-Sparse-Attn (2★) — MP-Sparse-Attn provides Triton kernels for Diagonal-Tiled Mixed-Precision Attention, targeting efficient low-bit MXFP inference for Transformer models. It combines tile-level mixed-precision computati


Tobiaszn8972/turboquant-gpu (2★) — Compress KV cache for LLM inference with 5.02x efficiency on NVIDIA GPUs using cuTile kernels.


selau642/QuantizedAttention (0★) — GPU Triton Kernels written in Helion to speed up Attention inference, fine tuning and training speeds.


susmitsingh01/triton-llm-kernels-lab (0★) — A hands-on lab implementing LLM inference kernels from scratch using Triton. Covers fused attention, Flash Attention, GQA, RoPE, INT8 quantization, KV cache optimization, and speculative decoding — wi


Winnie1221/flash-attention-triton (0★) — # FlashAttention Implementation in PyTorch & Triton  Implemented FlashAttention forward/backward pass from scratch using PyTorch and Triton kernels, optimized for GPU memory efficiency. Trained and be


indrarg8899/triton-rocm-samples (0★) — Triton kernel samples and tutorials for AMD GPUs — matmul, flash attention, softmax, reduce with ROCm backend


Argonaut790/fused-turboquant (8★) — Fused Triton kernels for TurboQuant KV cache compression — 2-4 bit quantization with RHT rotation. Drop-in HuggingFace & vLLM integration. Up to 4.9x KV cache compression for Llama, Qwen, Mistral, and


brianyu43/triton-training (0★) — CUDA & Triton kernel training — progressively built vector add → reduction → softmax → matmul → flash attention (MHA, causal). Lesson-by-lesson handoff docs + L4 GPU benchmarks.


chelokot/flash-attention-rdna3 (0★) — FlashAttention-2 Triton kernel for AMD RDNA3 (gfx1100 / Radeon RX 7900 XT/XTX/GRE): forward, backward, and split-K decode


Gaurav711cgu/Tritonforge (1★) — An automated GPU kernel optimization and profiling workstation compiling fused OpenAI Triton kernels (RMSNorm, SwiGLU, Tiled Attention) to maximize SRAM reuse. Exposes custom backward autograd functio


haregali/pageskip (0★) — Page-sparse flash-decode attention kernels in Triton: 94% of memory bandwidth dense, 16x past it sparse


j-arndt/orthocache-gpu (0★) — Spectral KV-cache eviction for NVIDIA GPUs — 1.28× faster attention at 32K+ context with 50% KV memory savings. Fused Walsh-Hadamard Split-K Triton kernel. Lean 4 verified.


iamrahulreddy/FlashTile (1★) — Reference Flash Attention implementation in PyTorch with V1/V2, GQA/MQA, Triton kernels, benchmark and docs.


jaeHbk/triton-programming-course (0★) — An agent-guided skeleton course for learning the Triton GPU programming language, from first kernel to fused attention and frontier hardware. Read it with your AI partner. Structure modeled on the Age


Joey0122/Mini-GPU-Inference-Engine (0★) — CUDA-based GPT-2 124M inference from scratch. Self-implemented kernels: reduction, scan, transpose, GEMM (FP32/FP16 Tensor Core), layer norm, softmax, GELU, attention. Validated against PyTorch. Bench


skyhehe123/ScatterFormer (80★) — ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention (ECCV 2024)


xinghaochen/SLAB (110★) — [ICML 2024] Official PyTorch implementation of "SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization"


milmor/LadaGAN (9★) — Efficient generative adversarial networks using linear additive-attention Transformers


acosharma/elita-transformer (18★) — Official Repository for Efficient Linear-Time Attention Transformers.


aliothren/efficient-transformer-accelerator (2★) — This is for ECE562 project Energy-Efficient Accelerator Architecture for Transformers Using Linear Attention


zeeza18/EFFICIENT_TRANSFORMER (3★) — Research implementation of Hierarchical Tree Attention (HTA) - an efficient transformer achieving O(N log N) complexity through recursive binary aggregation and chunkwise linear attention. 91.39% accu


arturbeg/efficient_transformer (2★) — Scaling Transformer architectures has been critical for pushing the frontiers of Language Modelling (LM), a problem central to Natural Language Processing (NLP) and Language Understanding. Although th


johndpope/LadaGAN-pytorch (1★) — Efficient generative adversarial networks using linear additive-attention Transformers


duongngockhanh/ladagan (0★) — An implementation of LadaGAN: Efficient Generative Adversarial Networks using Linear ADditive-Attention Transformers


MohammedQaraad/MSH-Trans (0★) — MSH-Trans: A Multi-Scale Hybrid Transformer with Linear Attention for Parameter-Efficient Brain Tumor Segmentation


shahazzat/FANformerGPT (0★) — A lightweight Causal Transformer with Causal Linear Attention, designed for efficient autoregressive text generation and question answering.


Imfatal/Implementation-and-Analysis-of-Transformer-Variants (0★) — PyTorch implementations and comparative evaluation of Transformer and Conformer variants, including efficient attention mechanisms (Sliding Window, Linear, and Multi-Query Attention), positional encod


ghsjk/ESST (0★) — An efficient semantic  segmentation Transformer (ESST) of RSIs that combines zero-padding position encoding with linear space reduction attention.


likith-sg/HMCT (0★) — A hierarchical memory-augmented Transformer architecture for efficient long-context sequence modeling using gated multi-tier memory and linear attention.


AmrutiyaKirtan/Factorized-vit-Probsparsing (0★) — This repository presents Factorized Vision Transformers (FaViT) with ProbSparse self-attention for efficient image classification. The architecture factorizes ViT blocks and uses probabilistic sparse


SohamKudva/GCLTModel (0★) — PyTorch implementation of the Gated Chunkwise Linear Transformer (GCLT). This architecture combines chunkwise exact attention with global linear recurrence to achieve O(N) memory scaling. It efficient


NVlabs/MambaVision (2198★) — [CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone


XiongxiaoXu/SST (229★) — The code of CIKM'25 paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting"


TIGER-AI-Lab/Vamba (104★) — Code for the paper "Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers" [ICCV 2025]


xiaoyao3302/PoinTramba (72★) — PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis


wenjuan7275/MatIR (20★) — MatIR: A Hybrid Mamba-Transformer Image Restoration Model


hu-po/karpamambathy (7★) — hybrid mamba transformer on arc challenge


vukrosic/hybrid-llm-mamba-transformer-research (8★) — hybrid-llm-mamba-transformer-research


deepinact/HybridTM (26★) — [IROS 2025] Official code of ”HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation“


enesdoruk/DA-Mamba (17★) — [ECAI] DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object Detection


nubot-nudt/InsCMPR (26★) — [ICRA 25] InsCMPR: Efficient Cross-Modal Place Recognition via Instance-Aware Hybrid Mamba-Transformer


xiaomi-research/timeviper (25★) — [CVPR'26] TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding


vukrosic/hybrid-llm-mamba-transformer-research-2 (4★) — hybrid-llm-mamba-transformer-research-2


nhanth301/MambaStegaFormer (4★) — MambaStegaFormer: Serial Style Transfer with Content Steganography and Hybrid Mamba-Transformer


elonlit/melchior (4★) — Melchior: A Hybrid Mamba-Transformer RNA Basecaller


Yixing-Li/TransMamba (6★) — Official code for paper: TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model (AAAI 2026 Poster)


lihongzhao99/RRGMambaFormer (4★) — RRGMambaFormer: A Hybrid Transformer-Mamba Architecture for Radiology Report Generation


vukrosic/hybrid-llm-mamba-transformer-research-3 (2★) — hybrid-llm-mamba-transformer-research-3


VARUN3WARE/Paged-Attention (8★) — Implementation of PagedAttention from vLLM paper - a notable attention algorithm that treats KV cache like virtual memory. Eliminates memory fragmentation, increases batch sizes, and dramatically


IceCreamMilkyTea/PagedKVCOMM (0★) — Accelerating multi-agent system with paged attention and kv cache reuse .


mukhal/micro-vllm (2★) — A single-file implementation of KV cache paged attention


jnros/cuda-attn-ref (2★) — Paged Attention: virtual memory for KV Cache in CUDA


manankapoor23/KV-Paged-Attention (0★) — This project implements a simplified KV-cache paging system for autoregressive Transformer inference, inspired by production inference engines such as vLLM.  The goal is to demonstrate how paged memor


bojjachetan/flash-decode-paged-attention (0★) — CUDA paged KV-cache decode attention kernel for LLM inference


gaurav-redhat/Paged-Attention (0★) — Efficient memory management for Large Language Model (LLM) inference using block-based KV cache.


capybara-brain346/PagedAttention-Simulation (1★) — This project implements a PagedAttention mechanism for managing key-value (KV) cache in large language models. It simulates memory allocation, block management, and cache hit/miss tracking for prompt/


lisihao/ThunderLLAMA (3★) — Apple Silicon Paged Attention for llama.cpp - Efficient KV cache management on M1/M2/M3/M4 GPUs


p4ralyn/AAPT_PagedAttention (0★) — A natively integrated, hardware-aware memory management subsystem for the xv6 RISC-V kernel. Implements OS-level Copy-on-Write (CoW) and PagedAttention primitives to mitigate KV-cache redundancy in co


abderahmane-ai/PagedAttentionMetal (0★) —   PagedAttentionMetal is a production-ready, hardware-accelerated implementation of the PagedAttention algorithm (from   vLLM) built natively for Apple Silicon using Metal 3. It provides efficient mem


HemanthIITJ/KVstream (0★) — KVStream sits in front of your existing LLM runtime and fixes the biggest bottleneck in local inference: wasted KV cache memory and poor batching. By streaming KV allocation instead of reserving it up


SanjanaShah/llm-paged-batching (0★) — A lightweight LLM inference serving simulator implementing paged attention, KV-cache management, and continuous batching.


Akshitha024/kv-cache-optimizer (0★) — Discrete-step KV-cache simulator + attention-variant and eviction-policy ablation (Flash, Paged, Chunked-prefill x LRU, LFU, Time)


GandholiSarat/kv-cache-visualizer (1★) — A conceptual, client‑side KV Cache and Paged Attention visualizer for LLM inference. It demonstrates prefill vs decode, paged KV blocks, and continuous batching without running a real model.


Zlatanwic/Fused-Kernel-for-Paged-attention (0★) — 面向大模型长上下文解码场景，实现并分析 paged KV cache 的 block-gather CUDA kernel，验证 fused attention 对减少中间显存流量和提升 decode 吞吐的效果。


KennethJefferson/ccg_app_cuda_VllmPagedInference (0★) — vLLM-style paged-attention inference engine for TinyLlama 1.1B int4 on NVIDIA T1200 Turing sm_75: Triton prefill + paged-decode kernels, KV-cache block manager, FastAPI streaming server


sahil139/predictive-kv-prefetch (0★) — Predictive KV-cache prefetching framework for transformer inference. It compares baseline, reactive paging, and attention-driven predictive caching to reduce GPU memory stalls.


google-deepmind/recurrentgemma (682★) — Open weights language model from Google DeepMind, based on Griffin.


google-gemma/cookbook (3874★) — A collection of guides and examples for the Gemma open models from Google.


surakku/cadence-gemma (0★) — Giving RecurrentGemma sight.


TushaarGVS/sae (0★) — Sparse autoencoder for recurrentgemma


SW10-Cryptanalysis/RecurrentGemma (0★) — trained to decipher long homophonic substitution ciphers without spaces and punctutation.


firmanadi2002/RecurrentGemma_Summarizer (0★) — Repository ini berisi Model Recurrent Gemma yang telah dilatih untuk tugas peringkas teks berita berbahasa Indonesia


vyom1611/RecurrentGemma-CUDA (0★) — Optimized version of the RecurrentGemma model written in Torch + CUDA. Implements advance kernels and inference techniques


TushaarGVS/simple-linear-rnn (1★) — Triton kernels for linear RNN (currently recurrentgemma)


rajivraghu/google-recurrentgemma_2b (0★) — Opensource Google Recurren Gemma_2b


BrendanJamesLynskey/Arch_03_Long_Context (0★) — Long-context LLMs: RoPE, position interpolation, NTK-aware scaling, YaRN, ALiBi, sliding window attention, StreamingLLM sink tokens, ring attention, context parallelism


semanticarchitectures/interceptorDroneSim (5★) — Counter-UAS interceptor drone engagement simulation — full kill chain from detection through intercept


ParagonTechnologies/cuas-drone-detection (2★) — Multi-sensor fusion system for counter-UAS drone detection


Soussi-Aymen/drone-detection-frontend (0★) — This repository contains the single-page application (SPA) frontend for the Counter-UAS (C-UAS) system. It serves as the users primary interface for real-time situational awareness.


mohamesb/AI-Powered-Drone-Detection-System (0★) — A full-stack project demonstrating AI-powered drone detection inspired by counter-UAS defense systems.


GerardGz/autonomous-drone-landing-risk-detection (0★) — Computer Vision based counter-uas threat detection system, which utilizes a custom cnn and public datasets.


Soussi-Aymen/drone-detection-backend (1★) — This repository contains the backend orchestration layer for the Counter-UAS (C-UAS) Human-Machine Interface (HMI) system, focused on providing real-time threat detection awareness to individual users


Suliman8/SkyShield (0★) — RF-Based Drone Detection, Payload Analysis & Threat Classification System - Affordable open-source Counter-UAS research


JiyounRoth/Drone_RF_Detection_FPGA (0★) — This project implements a high-performance RF Signal Detection pipeline on an FPGA specifically designed for Portabel/Handheld Counter-UAS (Unmanned Aircraft Systems) Hardware. The design focuses on r


Sayeh-1337/meshkah (0★) — meshkah is an academic Counter-UAS (CUAS) prototype that fuses RGB, thermal, RF, and acoustic detections to estimate and track drone position in 3D. It integrates ROS 2 Jazzy, Gazebo Harmonic, and Ard


a-for-aarushi/PS-09---AI-tools-for-Maritime-Domain-Awareness- (1★) — End-to-end AI solution for Maritime Domain Awareness featuring vessel detection from EO/SAR imagery, length-width-heading estimation, AIS correlation, vessel classification, and path interpolation/pre


RazerArdi/dark-vessel-sar-detection (0★) — Neuro-symbolic Maritime Domain Awareness System (MDAS) for real-time SAR imagery decoding, geospatial extrapolation, and automated SITREP generation.


Iberasa3/Carcosa (0★) — Detecting illegal maritime activity by cross-referencing real-time satellite detections with AIS broadcasts. Built to combat IUU (Illegal, Unreported, and Unregulated) fishing and enhance maritime dom


AndrewKritikos/ais_anomaly_detection (1★) — This real-time anomaly detection system exposes deceptive shipping practices utilized by the 'shadow fleet' for illicit operations. By processing live AIS telemetry from the Strait of Malacca, it math


Moulirichards/A-machine-learning-based-approach-for-detection-of-ships-and-UAVs-in-military-forces (0★) — This system detects ships in satellite images using Faster R-CNN and identifies drones in real-time video with YOLOv5. Featuring a military-themed, user-friendly interface, it enhances situation


madeit07/RadarMOTR (20★) — Multi-Object Tracking with Transformer Neural Networks on Range-Doppler Maps


radar-lab/Radar_Camera_MOT (28★) — Code for our paper: Radar-Camera Fused Multi-Object Tracking: Online Calibration and Common Feature


ramchendooran/Unscented-Kalman-Filter-Multiple-Object-Tracking (5★) — Tracking of cars on a highway by using an unscented kalman filter to fuse LIDAR and RADAR data


santimontiel/lira-mot (6★) — 🚘 Code of my Bachelor's Thesis "Multi Object-Tracking system based on LiDAR and RADAR for Intelligent Vehicles applications".


dinggh0817/4D_Radar_MOT (21★) — The code for reproducing experiment results in the conference paper "Which Framework is Suitable for Online 3D Multi-Object Tracking for Autonomous Driving with Automotive 4D Imaging Radar?" in 35th I


madeit07/RADTrack (8★) — Dataset for Range-Azimuth-Doppler Based Radar Multi-Object Tracking


AndreiMoraru123/NeedForScenes (5★) — Multi Object Tracking Sensor Fusion 3D Interactive Simulation/Game in PCL


nsenel/SensorDataFusion (3★) — Multi object tracker sensors(Camera, LiDAR, Radar)


jie311/LiDAR-Radar-MOT (2★) — 🚘 Code of my Bachelor's Degree Thesis "Multi Object-Tracking system based on LiDAR and RADAR for Intelligent Vehicles applications" developed at RobeSafe Research Group (University of Alcalá) under th


Steve-p99/Radar-Console-Display-Simulator (2★) — Radar Console Display Simulator for Multi Object Tracking Using Qt - IDE


Vaiy108/multi-object-radar-tracking (0★) — Industry-style radar tracking project


bingxue-xu/RadarMOT (0★) — [ICRA'26 workshop] RadarMOT: Radar-Informed 3D Multi-Object Tracking under Adverse Conditions


Vaiy108/radar-camera-fusion (1★) — A real-time C++ system for multi-object tracking and sensor fusion using camera-based motion detections


sManohar201/automotive_object_tracking (0★) — Production-grade multi-object tracking for autonomous driving — LiDAR, radar, and camera fusion in C++17 on ROS2


airou-lab/VelACAR3DMOT (1★) — Camera-Radar 3D Multi-Object Tracking pipeline inspired by AB3DMOT, made for the nuScenes dataset. Using radar velocity to improve on existing method, using CRN and Radiant as Detection backbones.


Akajiaku11/Carbon-Footprint-Analysis-and-Emission-Forecasting (61★) — This project is a Python-based tool for analyzing carbon emissions and forecasting future trends. It uses synthetic data to simulate historical emissions and applies ARIMA (a time series model) and Li


Beckybams/Carbon-Footprint-Estimation-Tool (25★) — The **Carbon-Footprint-Estimation-Tool** uses synthetic data and machine learning to estimate carbon emissions from activities such as transportation, electricity use, fuel consumption, and waste gene


nefagi-01/cumulator (0★) — A tool to quantify and report the carbon footprint of machine learning computations and communication


gauravswarnakar/carbon-footprint-predictor (1★) — AI-based carbon footprint calculator using Machine Learning


harshitadd/DP-Carbon-Footprint (8★) — Analysing the carbon footprint of Differential privacy guarantees on Vanilla BERT ( modelled for news classification ), MNIST and the Cartpole Problem using Opacus. [ Accepted to appear at  ICML 2021


Curiosit/PhD-PredictingCarbonFootprintOfBuildings (7★) — Machine Learning (CNN) for carbon footprint prediction in early stages of architectural design


Nelvinebi/Carbon-Footprint-Estimator-for-Urban-Households (11★) — This project builds a machine learning model to estimate urban household carbon footprints using synthetic data. It analyzes energy use, transport, diet, and lifestyle factors to predict annual CO₂ em