Langchain
The agent engineering platform
Autogenは、microsoft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: microsoft/autogen)。GitHubスターは61,251、フォークは9,281で、CC-BY-4.0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4月15日です。
A programming framework for agentic AI
Application frameworks, agent runtimes, or voice stacks — choose by whether you are building apps, automations, or realtime voice.
Python or TypeScript packages install with one command; most include quickstart templates.
Give the agent functions it can call and a memory layer so it stays coherent across sessions.
Launch the agent, watch its tool calls and reasoning traces, and iterate on prompts and tools.
Agents act on the world: APIs, databases, browsers, and shell commands.
Crews and graphs of specialized agents collaborating on complex tasks.
Short and long-term memory so agents improve across sessions.
Traces of every decision and tool call — essential for debugging.
Low-latency stacks for conversational voice agents.
Swap underlying LLMs without rewriting your agent logic.
Download the source and move into the project folder.
git clone https://github.com/microsoft/autogen.git
cd autogenIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtFrameworks build your own; some repos here ship ready-made agents you can run directly.
Tool-calling quality matters more than raw size — strong mid-size models work well.
It is an open-source project at microsoft/autogen with 9,281 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Sandbox tool access, confirm destructive actions, and review traces — treat agents like junior employees with supervision.
Self-hosted frameworks are free; you pay only for model inference (local or API).
A quickstart template in the framework's docs — most get a first agent running in minutes.
The agent engineering platform
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work…
LlamaIndex is the document processing platform for AI
Agentic AI framework for automating enterprise workflows like code review.
Agentic framework for long-horizon autonomous scientific discovery.
A lean, HuggingFace-native RL framework for agentic research.
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 — Autogen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Autogen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。
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
The best-benchmarked open-source AI memory system. And it's free.
Drop-in persistent memory infrastructure for AI agents and apps.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work…
Convert PDFs, DOCX, and HTML into clean, AI-ready documents.
Write HTML. Render video. Built for agents.