AIエージェント
browser-agent
Open-source, vision-first browser agent
★ 4.1k スターApache-2.0
ガイドを見る →mcp-useは、mcp-use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: mcp-use/mcp-use）。GitHubスターは10,714、フォークは1,489で、MIT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2日です。
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Download the source and move into the project folder.
git clone https://github.com/mcp-use/mcp-use.git
cd mcp-useEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandThe AI Agents shelf also holds weave — a toolkit for developing AI-powered apps, from the Weights & Biases team. The AI Agents shelf also holds autoevals — Fast, best-practice evaluations for AI model outputs. Readers working through the AI Agents shelf also stop at tada, an open-source speech language model from Hume.
It is an open-source project at mcp-use/mcp-use with 1,489 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
Open-source, vision-first browser agent
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
An MCP integration platform that lets AI agents use tools reliably at any scale.
AI agents that use real Android and iOS apps like a human — from minitap.
Snyk's security scanner for AI agents, MCP servers and agent skills.
A Python framework for building MCP servers and agent tools.
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 — mcp-use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mcp-use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。
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewrit…
Agentic AI Framework for Java Developers
MCP server that lets AI agents run thousands of Apify Store scrapers and crawlers as tools.
Open-source framework for conversational voice AI agents
Microsoft's GUI agent that grew into UFO³ — orchestrating agents across Windows, Linux and mobile devices.