Agentes de IA
Langchain
The agent engineering platform
★ 147,4 mil estrelasMIT
Ver o guia →magentic é um projeto de agentes de IA de código aberto de jackmpcollins (jackmpcollins/magentic no GitHub). Tem 2.426 estrelas no GitHub e 128 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 11 de março 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.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.