ローカルLLM
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
★ 39.6k スターApache-2.0
ガイドを見る →llm-spaceは、deer-flowが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: deer-flow/llm-space）。GitHubスターは1,978、フォークは215で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月1日です。
Desktop lab for prototyping AI agents — inspect steps, replay failures.
Get the desktop build for your OS.
Sketch your agent idea in the workspace.
Watch every harness step as it runs.
Reproduce failures and measure fixes.
See exactly what the agent did and why.
Reproduce bugs without full re-runs.
Measure agent performance over time.
Prototype on your own machine.
Graduate to managed agents when ready.
Prototype, debug, and eval in one app.
Download the source and move into the project folder.
git clone https://github.com/deer-flow/llm-space.git
cd llm-spaceEvery 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 prototypes agent ideas generally; check the docs for harness details.
MIT licensed — commercial use allowed.
No, it is local-first; cloud is for managed agents later.
Performance measurement of your agents; see the docs for metrics.
It is a desktop app; check the releases for your OS.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Powerful AI Client
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 …
Local-first desktop where a commander LLM directs specialist coding agents.
Autonomous AI pentesting with 50 specialist agents on a local LLM.
Local-first desktop workspace designed for running.
LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — llm-spaceが合わなかった場合に検討したい、現実的な候補リストです。
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.
カタログの中でllm-spaceとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
Generate text inside Obsidian with cloud or local AI providers.
Personal AI agent that takes goals and works alone across your devices.
One shared local memory hub so every AI agent remembers the same you.
Local-first agent harness with loop, memory, and evals in readable code.
StepFun's open 196B MoE model that activates 11B parameters per token, built for fast agentic reasoning.
Elegant AI chat client with workspaces, plugins, and local-first sync.