Stars
Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation…
The agent that grows with you
CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
Agentic AI Framework for Java Developers
Claude Code Source - Buildable Research Fork. Reverse-engineered build system, runnable with Bun.
TreeSearch: Search your codebase like a human — not like a vector database. No embeddings. No chunking. Just millisecond search over structured documents and large codebases. 无需 embedding，无需切分文档，在结…
Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of…
基于 LangGraph 的企业级 AI 智能体平台，支持深度研究、代码执行 ，并提供 62+ 内置工具与类Manus的多 Agent 配置。支持 SSE 实时流、任务取消、记忆管理以及多模态交互等能力
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
A minimal, secure Python interpreter written in Rust for use by AI
Build and run agents you can see, understand and trust.
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
A modular AI agent framework built with FastAPI (backend) and TypeScript (frontend), integrating LangChain/LangGraph-based agents for conversational intelligence, reasoning, and tool orchestration.
A LangGraph-powered multi-agent deep research system featuring task planning, human-in-the-loop review, multi-source retrieval, evidence-grounded report generation, full tracing and reproducible ev…
MultiAgentPPT 是一个集成了 A2A（Agent2Agent）+ MCP（Model Context Protocol）+ ADK（Agent Development Kit） 架构的智能化演示文稿生成系统，支持通过多智能体协作和流式并发机制
A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, multi-agent collaboration, and seamless tool integration.
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
[WWW‘26 Oral🔥] DeepAgent: A General Reasoning Agent with Scalable Toolsets