AIエージェント
browser-use
The open-source library that lets AI agents control a real browser.
★ 117.4k スターMIT
ガイドを見る →A2Aは、a2aprojectが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: a2aproject/A2A）。GitHubスターは26,067、フォークは2,657で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月7日です。
The open protocol that lets AI agents talk to each other.
Write down the outcome you want in one sentence.
Clone it locally and check the README.
Get dependencies and tooling in place per the docs.
Follow the minimal example, then adapt it to your needs.
A public spec anyone can implement.
Agents from different builders, talking.
Neutral stewardship, not one company's API.
MCP links agents to tools; A2A links agents to agents.
Structured around delegating work.
Implement it in whatever stack you use.
Download the specification source.
git clone https://github.com/a2aproject/A2A.git
cd A2AStart with the spec documents and any diagrams.
find . -name '*.md' | head -20Look for reference implementations or SDKs linked from the README.
# see README for implementations in your languageIt is an open-source project at a2aproject/A2A with 2657 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
No — it's a protocol specification. You implement it (or use libraries that do) so your agents can interoperate.
Complementary: MCP connects agents to tools; A2A connects agents to agents.
Clone the repo and follow the README quickstart — the docs at https://a2a-protocol.org/ walk through setup.
The open-source library that lets AI agents control a real browser.
MCP server that lets AI agents run thousands of Apify Store scrapers and crawlers as tools.
An MCP integration platform that lets AI agents use tools reliably at any scale.
Playwriter lets AI agents drive your real Chrome — your logins, extensions, and cookies — via Playwright
Google's modular toolkit that lets AI coding agents hunt, reproduce, and patch vulnerabilities autonomously.
Chrome DevTools for coding agents: an MCP server that lets agents debug and inspect real Chrome
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — A2Aが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でA2Aとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone
Test prompts, agents and RAGs — LLM evals, red teaming and model comparisons from the CLI
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and…
The SDK for extracting data and interacting with any site on the web.
A fully local Manus-style autonomous agent: browses, codes and speaks — no APIs, no subscription
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI