ローカルLLM
Ollama
The simplest way to run open language models on your own machine.
★ 182.1k スターMIT
ガイドを見る →agent-consoleは、LockedinLabs-AI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: LockedinLabs-AI/agent-console）。GitHubスターは800、フォークは144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4日です。
Local-first dashboard of tokens, models, and cost for coding agents.
Download the source and enter the folder.
Pull the Node packages for the dashboard.
Link agents via the self-hosted relay.
Open the dashboard and review tokens and cost.
Tokens, cache, and models for every agent session.
See what Claude Code and Codex actually cost.
Aggregate across machines via self-hosted relay.
Your usage data stays under your control.
Purpose-built for AI coding spend.
Fast-growing community trust.
Download the source and move into the project folder.
git clone https://github.com/LockedinLabs-AI/agent-console.git
cd agent-consolePull the Node packages it needs.
npm installStart the console and open it in a browser.
npm startIt is an open-source project at LockedinLabs-AI/agent-console with 144 forks.
Yes. It is MIT licensed.
Claude Code and Codex sessions, including tokens, cache, and models.
It is local-first, with a self-hosted relay for multi-machine views.
Yes. Connect multiple machines through the relay for a shared view.
The simplest way to run open language models on your own machine.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally
Local-first desktop where a commander LLM directs specialist coding agents.
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
Local-first markdown editor that coding assistants can drive directly.
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 — agent-console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agent-console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。
Local-first desktop workspace designed for running.
Check if your GPU can fine-tune an LLM — memory estimates and LoRA recipes.
Desktop AI agent platform with one-click models and offline-first RAG.
Agent-native control plane for ComfyUI — generate media in plain chat.
Local security auditor for AI API relays — catches injection and swaps.
AI gets the context.