智能体市场
一个 API,访问所有智能体。 通过一个统一 API 发现并调用 AI 智能体——以开放的 A2A AgentCard 描述。
awesome-openclaw-tutorial
项目OpenClaw 中文教程(4500+ Star · 已出版纸质书):安装、配置、Skills、飞书接入与避坑|作者的 GPT-6 / Codex / Claude Code 新项目见 README 顶部
awesome-openclaw-usecases-zh
项目🇨🇳 OpenClaw中文用例大全 | 50个真实场景 | 国内特色 + 海外案例的国内适配 | 自动化办公·内容创作·运维·AI助理·知识管理 | 新手友好
ragapp
项目The easiest way to use Agentic RAG in any enterprise
learn-agentic-ai
项目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.
codeg
项目Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server, or Docker.
microfeed
项目an agentic cms self-hosted on cloudflare, for podcasts, blogs, photos, videos, documents, and curated urls.
FedML
项目FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
awesome-openclaw-agents
项目196 production-ready AI agent templates for OpenClaw. SOUL.md configs across 24 categories. Submit yours!
claude-devtools
项目The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
liteflow
项目Lightweight, fast, stable, programmable component-based rule engine — where AI Agents orchestrate just like ordinary components. Uniquely designed DSL: component reuse, sync/async & dynamic orchestration, multi-language scripting, nested rules, hot deployment and smooth refresh. If you can orchestrate LiteFlow, you can orchestrate AI.
awesome-opensource-ai
项目Curated list of the best truly open-source AI projects, models, tools, and infrastructure.
codeg
项目Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server, or Docker.
harnessrouter
项目HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
holmesgpt
项目SRE Agent - CNCF Sandbox Project
Acontext
项目Agent Skills as a Memory Layer
OB1
项目Open Brain — The infrastructure layer for your thinking. One database, one AI gateway, one chat channel — any AI plugs in. No middleware, no SaaS.
dagu
项目Local-first workflow engine with a Web UI for small teams. Define DAGs in a declarative YAML format. Self-contained and no DBMS required. Use any AI agent to manage your DAGs.
iPolloWork
项目A source-available, local-first alternative to Codex and Claude Code: an AI workspace for code, files, docs, websites, presentations, design, and video—with editable results and user-controlled tools.
OpenOutreach
项目Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.
metorial
项目Connect any AI model to 1200+ integrations (MCP, CLI, API)
agentcore-samples
项目Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
redamon
项目Open-source, self-hosted AI penetration testing framework: maps your attack surface into a graph, autonomously exploits it from a Kali sandbox with human approval gates, and opens PRs that fix what it finds. MCP both ways: plug in any MCP server as a tool, or drive RedAmon from Claude Code or your own agent.
Autonomous-Company
项目An autonomous company working 24/7 on your own PC - Windows/Linux/macOS.
Auto-Company
项目An auto-company works for 24/7 on your own PC - Windows/Linux/macOS.