Локальные LLM
litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
★ 60,1 тыс. звёздCustom
Смотреть руководство →meridian — проект с открытым исходным кодом из категории «Локальные LLM» от rynfar (rynfar/meridian на GitHub). У него 2 089 звёзд на GitHub и 239 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 4 октября 2026.
Local API bridge to run Claude and Antigravity inside other coding clients.
Get it from npm or the repo.
Run the local API bridge.
Connect Pi, OpenCode, or another client.
Watch activity in the dashboard or Mac app.
Translates model APIs for coding clients.
Use Claude models in other tools.
Brings Antigravity models along too.
See what your agents consume.
Native macOS experience.
Works with Pi, OpenCode, and more.
Download the source and move into the project folder.
git clone https://github.com/rynfar/meridian.git
cd meridianEvery 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 commandNo, it is a community bridge; check compatibility with terms of service.
Custom license — read the repo's license file first.
Pi, OpenCode, and other coding clients; check the docs.
Yes, the bridge forwards to APIs you have access to.
No, but it helps track usage across clients.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
Open-source 24/7 Cowork app for OpenClaw, Hermes, Claude Code, Codex, OpenCode and 20+ more CLI Agent | Customize your assistants | Team them up｜Star if you …
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Run local LLMs like Llama and DeepSeek right inside your web browser.
Local security auditor for AI API relays — catches injection and swaps.
Open source, Git-native memory for AI coding agents - deterministic local recall
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если meridian 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 meridian — продолжайте изучать полку по обе стороны от него.
Sandbox for local AI agents so they only touch what they need.
StepFun's open 196B MoE model that activates 11B parameters per token, built for fast agentic reasoning.
Local-first desktop where a commander LLM directs specialist coding agents.
One shared local memory hub so every AI agent remembers the same you.
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
Generate text inside Obsidian with cloud or local AI providers.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.