Tools

Chat UI that works with any LLM. It comes loaded with advanced features like agents, web search, RAG, MCP, deep research, Connectors to 40+ knowledge sources, and more.

Deterministic multi-agent orchestrator for 18 CLI coding agents (Claude Code, Codex, Cursor, Aider, Gemini CLI, OpenAI Agents SDK, and more). MCP server mode (stdio + HTTP/SSE) exposes the orchestrator to any MCP client. Git worktree isolation per agent, HMAC-chained audit trail, cost-aware model routing via contextual bandit. ~11K monthly PyPI downloads, Apache 2.0.

The agent engineering platform

Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.

AI Agent Framework, the Pydantic way

Universal memory layer for AI Agents

Build, run, manage agentic software at scale.

Framework for AI agents (Claude Code, Cursor, Codex, Gemini) to operate Google Ads, Meta Ads, and Search Console. Grounded in a local STRATEGY.md — not metric-chasing. Defense-in-depth security, local-first. Apache 2.0.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

A model-driven approach to building AI agents in just a few lines of code.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Agent-to-agent marketplace where AI agents discover, invoke, and pay for services from other agents using USDC on Base L2.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

⚡SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

Reliable Multi-Agent Orchestration Framework

Build production-ready AI agents in both Python and Typescript.

A lightweight, powerful framework for multi-agent workflows

Make websites accessible for AI agents. Automate tasks online with ease.

CowAgent是基于大模型的超级AI助理，能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、通过长期记忆和知识库不断成长，比OpenClaw更轻量和便捷。同时支持微信、飞书、钉钉、企微、QQ、公众号、网页等接入，可选择OpenAI/Claude/Gemini/DeepSeek/ Qwen/GLM/Kimi/LinkAI，能处理文本、语音、图片和文件，可快速搭建个人AI助理和企业数字员工。

Trust, identity (W3C DID), and EigenTrust reputation for AI agents. Attestations, disputes, sybil detection, IPFS audit anchoring.

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, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

BOSS Zhipin recruitment workflow for AI agents. 49 MCP tools for job search, welfare filtering, recruiter messaging, pipeline tracking, and resume optimization.

Stateful MCP server over real language servers. 50 tools, 30 CI-verified languages, 20 agent workflows. Persistent sessions keep the index warm across files and projects. Speculative execution simulates edits in memory before writing to disk.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Build resilient language agents as graphs.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Production-ready platform for agentic workflow development.

The fast, Pythonic way to build MCP servers and clients.

Agent multiplexer for running dozens of parallel Claude Code sessions with web dashboard, self-healing watchdog, kanban board, agent-to-agent REST API, and mobile PWA. Single Python file, Python 3 + tmux. MIT.

The highest-scoring AI memory system ever benchmarked. And it's free.

Durable, agent-native AI runtime with native MCP client + server and A2A support. Rust core for performance, Python authoring for ergonomics. Features graph-based workflows, durable execution, and multi-agent coordination.

Flower: A Friendly Federated AI Framework

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

Memori is agent-native memory infrastructure. A SQL-native, LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.

AIOS: AI Agent Operating System

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Five-level AI collaboration system with persistent memory and anticipatory capabilities. MCP-native integration for Claude and other LLMs with local-first architecture via MemDocs.

Crawl websites into clean Markdown, search pages, and extract structured data with LLMs. Built-in MCP server for web research and RAG pipelines.