LLM local
Fabric
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI …
★ 44,2 mil estrelasMIT
Ver o guia →waku-agent é um projeto de LLM local de código aberto de ShenSeanChen (ShenSeanChen/waku-agent no GitHub). Tem 1.900 estrelas no GitHub e 384 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 4 de outubro de 2026.
Local-first agent harness with loop, memory, and evals in readable code.
Get the readable codebase.
Set up the agent loop for your task.
Wire in memory that persists across runs.
Use the built-in evals to measure quality.
Runs on your machine by design.
The whole harness stays legible.
Core loop included, not hidden.
Persistent memory built in.
Measure your agent as you build.
Fork and extend freely under MIT.
Download the source and move into the project folder.
git clone https://github.com/ShenSeanChen/waku-agent.git
cd waku-agentEvery 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 commandA harness: code you own and extend, not a black-box app.
MIT licensed — commercial use allowed.
Local-first with configurable providers; check the docs.
Yes, the harness is Python and meant to be read and modified.
It is deliberately minimal and legible rather than feature-maximal.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI …
Hundreds of models & providers. One command to find what runs on your hardware.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
One shared local memory hub so every AI agent remembers the same you.
Agent hub that spins up a fresh orchestrator per task, local-first.
A local-first context and memory layer for your AI agents.
Os outros projetos de LLM local com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se waku-agent não for o ideal para você.
The simplest way to run open language models on your own machine.
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.