Awesome Agents

🙌 OpenHands: AI-Driven Development

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

An autonomous agent that conducts deep research on any data using any LLM providers

Build and run agents you can see, understand and trust.

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

The open-source hub to build & deploy GPT/LLM Agents ⚡️

Open-source, secure environment with real-world tools for enterprise-grade agents.

Multi-Agent Harness for Production AI

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

Build autonomous AI agents in Python.

The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild

DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

Build, run and scale AI agents like API and microservices

✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.

A lightweight framework for building LLM-based agents

🤖 Create agentic apps in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

Ship your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀

The Best AI Agent Framework for Agent Collaboration.

BabyAGI UI is designed to make it easier to run and develop with babyagi in a web app, like a ChatGPT.

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.

Giselle: AI App Builder. Open Source.

Across 348 long-horizon benchmark sessions, Tura used up to 83.1% fewer turns on the rewrite benchmark and improved the DeepSWE pass rate by up to 16.7 percentage points compared with Codex CLI.

Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI, OpenCode, Kilo, Pi, Kimi

LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.

An autonomous HR agent that can answer user queries using tools

OpenLens AI: A Fully Autonomous Multimodal Research Agent｜ OpenLens AI：全自主多模态科研智能体

Open-source control plane and runtime for organisational agents: shared company context, isolated execution, approvals and MCP.

Use Claude to orchestrate agents like OpenClaw

Self-Programming AI Agent Framework. Agents create and refine their own workflows.