Agentes de IA
yomo
Serverless AI agent framework running on geo-distributed edge infrastructure.
★ 1,9 mil estrelasCustom
Ver o guia →mlx é um projeto de agentes de IA de código aberto de ml-explore (ml-explore/mlx no GitHub). Tem 28.686 estrelas no GitHub e 2.318 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.
Apple's array framework for running ML efficiently on Apple silicon.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Built for the Mac GPU and unified memory.
Familiar array programming model.
Efficient computation graphs.
Use it from Python with pip install mlx.
Free for any use.
Maintained by Apple's ML research team.
Download the source and move into the project folder.
git clone https://github.com/ml-explore/mlx.git
cd mlxThe fastest way to try MLX is the pip package.
pip install mlxRun a tiny array computation to confirm it works.
python -c "import mlx.core as mx; print(mx.array([1, 2, 3]))"It is an open-source project at ml-explore/mlx with 2318 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
No - this is infrastructure you run on your own hardware, so there is no per-request fee.
Usually not - agents call models, and MLX is the layer that runs those models fast on Macs. You need it if you are doing local inference on Apple silicon.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
Serverless AI agent framework running on geo-distributed edge infrastructure.
A dev-first framework for building and running autonomous AI agents.
The veteran open-source framework for conversational AI that you host.
NVIDIA's reference stack for running AI agents more securely inside OpenShell sandboxes
The open runtime for AI agents — a Rust platform for running, governing and routing agents with TokenOps.
Microsoft's open framework for red-teaming generative AI systems.
Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se mlx não for o ideal para você.
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.
Projetos de Agentes de IA próximos no catálogo, os mais próximos em estrelas de mlx: continue explorando dos dois lados dele.
Alibaba's in-page GUI agent: control any web interface with natural language, from one script tag
Microsoft's SDK for weaving LLMs into real applications, fast.
Open-source search infrastructure built for AI workloads.
Mastra is the modern TypeScript framework for AI-powered applications and agents.
A lightweight, powerful framework for multi-agent workflows
The open-source studio for labeling data of every type.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.