AI Agents
browser-agent
Open-source, vision-first browser agent
★ 4.1k starsApache-2.0
View guide →The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
mcp-use is an open-source ai agents project by mcp-use (mcp-use/mcp-use on GitHub). It has 10,714 GitHub stars and 1,489 forks, is released under the MIT license, and was last updated on GitHub on 2 October 2026.
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 commandIt 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.
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if mcp-use is not the right fit.
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.
Free and open — grab the source, star the repo, and start creating.