AIエージェント
Langchain
The agent engineering platform
★ 147.4k スターMIT
ガイドを見る →magenticは、jackmpcollins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: jackmpcollins/magentic）。GitHubスターは2,426、フォークは128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3月11日です。
Use LLMs as plain Python functions: prompts become typed, testable code.
pip install it into your Python project.
Write a signature with types.
The LLM fills in the implementation.
Functions behave like functions.
Call models like regular code.
Pydantic-style type safety.
Mock and unit-test LLM calls.
A tiny surface, easy to learn.
Multi-turn conversations too.
Use anywhere.
Download the source and move into the project folder.
git clone https://github.com/jackmpcollins/magentic.git
cd magenticEvery 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 jackmpcollins/magentic with 128 forks.
Yes. MIT licensed.
ChatGPT-style chat models; see the docs.
Even more minimal: functions first, framework second.
Yes. Types drive parsing and coercion.
The agent engineering platform
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Program language models with code and compilers — not fragile prompts.
Google's code-first toolkit for building real AI agents.
Rust terminal multiplexer with a typed SDK: drive any CLI app from code.
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 — magentic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magentic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。
Bring Claude Code, Codex, and Gemini CLI into Obsidian via Agent Client Protocol.
ESP32 iPhone Agent — let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, no computer, no jailbreak
Vercel’s SDK for durable, reliable, observable apps and AI agents in TypeScript.
Native MCP plugin for x64dbg — let an AI drive the debugger: breakpoints, stepping, memory, registers
AI full-stack engineer agent built on Next.js, Claude, and Kubernetes.
Open-source AI SOC — alert fusion, LLM triage, MITRE ATT&CK investigation and a replayable decision ledger