Open-source security automation platform for teams and AI agents
🤖 AI 智能体
自主智能体、多智能体编排、浏览器与 GUI Agent
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specia
Build production-ready AI agents in both Python and Typescript.
II-Agent: a new open-source framework to build and deploy intelligent agents
🦜💬 Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.
AI agent microservice
Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use.
Build, run and scale AI agents like API and microservices
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
Seamlessly integrate LLMs as Python functions
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode/Cursor/Grok/Git
🏕️ Reproducible development environment for humans and agents
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed inform
🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
A fast and lightweight framework for creating decentralized agents with ease.
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.
The LLM Anti-Framework
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
Ouroboros — self-creating AI agent. Born Feb 16, 2026.