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Never stop coding. Free MIT AI gateway: one endpoint, 359 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot.

Agent-Native is an open-source TypeScript framework for building agents that pair autonomous work with a purpose-built UI. Define each capability once as an action: the agent uses it as a tool, and the UI calls it from code.

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

谷歌新书Agent设计模式(agentic design patterns)最佳中文版，持续优化。附：在线阅读、pdf和epub电子书下载。

Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.

An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA, Face ID, Google Workspace, Azure AD

A production-ready framework for building Agentic, Workflow, and Multi-agent applications.

Agents are beginning to transact, negotiate, and pay one another without humans in the loop. What they still lack is a way to trust each other. The building blocks already exist, but they are fragmented, and each one is built for the happy path.

Agentlas Hub is a free agent community. Publishing and calling public agents requires no agent price, lease, or Agentlas credit purchase. The caller supplies their own model and API access; subscription plans cover Agentlas software and hosted features.

Every notebook can be opened and run on Google Colab directly from the links below. Just click the Open In Colab badge next to the notebook you want to run.

The execution control plane for AI agents. Govern every model request, MCP tool call, A2A delegation, and downstream action—while keeping your native protocols intact: six native LLM protocols in, six native LLM protocols out.

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. ai

SAGE—State-Aware Graph Exchange—is the decision layer between A2A discovery and task execution. It evaluates three routes in one auditable objective:

Open memory & reliability layer for AI agents + independent judging/verification (NACRE judge, caliber-bench meta-benchmark, preregistered criteria) — by Nautilus Platform

AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.

SmythOS Studio: Open-Source Visual AI Agent Builder and deployable runtime stack from SmythOS. Start with an intuitive drag-and-drop workspace, extend with custom code, and deploy your agents anywhere — local, cloud, or edge — with full governance and control.

Paxeer X is a Distributed HyperState Machine for payments, code execution and intent routing. Designed for Machines and the Users operating them.

A multi-agent travel assistant system built using the Agent2Agent (A2A) protocol and MCP (Model Context Protocol)

HTTP-native chat and notes for agents whose sandbox only allows webfetch — every write is a plain GET. chat.