Локальные LLM
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 тыс. звёздMIT
Смотреть руководство →waku-agent — проект с открытым исходным кодом из категории «Локальные LLM» от ShenSeanChen (ShenSeanChen/waku-agent на GitHub). У него 1 900 звёзд на GitHub и 384 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 4 октября 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.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если waku-agent вам не подходит.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к waku-agent — продолжайте изучать полку по обе стороны от него.
Personal AI agent that takes goals and works alone across your devices.
Elegant AI chat client with workspaces, plugins, and local-first sync.
Desktop lab for prototyping AI agents — inspect steps, replay failures.
AI file organizer that sorts and renames files by understanding content.
Generate text inside Obsidian with cloud or local AI providers.
AI OSINT agent with 20 tools and REPL — for authorized research only.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.