Agentes de IA
Langchain
The agent engineering platform
★ 147,4k estrellasMIT
Ver la guía →magentic es un proyecto de agentes de IA de código abierto de jackmpcollins (jackmpcollins/magentic en GitHub). Tiene 2.426 estrellas en GitHub y 128 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 11 de marzo de 2026.
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.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si magentic no es lo que buscas.
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.
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a magentic: sigue explorando a ambos lados.
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
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.