RAG и базы знаний
anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
★ 66,7 тыс. звёздMIT
Смотреть руководство →argo — проект с открытым исходным кодом из категории «Локальные LLM» от xark-argo (xark-argo/argo на GitHub). У него 829 звёзд на GitHub и 80 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 6 января 2026.
Desktop AI agent platform with one-click models and offline-first RAG.
Get the desktop app or Docker image.
One-click model setup.
Add offline-first RAG sources.
Let the agent think and plan.
No manual model wrangling.
Local knowledge bases for research.
Autonomous thinking and planning.
Nothing leaves your machine.
Integrate hosted models too.
Windows, Mac, and Docker.
Download the source and move into the project folder.
git clone https://github.com/xark-argo/argo.git
cd argoEvery 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 commandThat is its positioning: Manus-style agentic work on your desktop.
Custom license — read the repo's license file first.
Check the docs for the one-click model catalog.
Offline-first design; closed LLM integration is optional.
The last push shown is early 2026; check recent commits.
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
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Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
Local-first dashboard of tokens, models, and cost for coding agents.
Strata — one-click Qwen3.8-Flash-Next inference on consumer hardware: chat, code and images, locally, no account, MIT
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если argo 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 argo — продолжайте изучать полку по обе стороны от него.
Local security auditor for AI API relays — catches injection and swaps.
Local-first desktop workspace designed for running.
Early proposal and implementation for connecting LLMs to web pages.
Local-first dashboard of tokens, models, and cost for coding agents.
Browse and resume your AI coding-agent sessions on macOS.
Check if your GPU can fine-tune an LLM — memory estimates and LoRA recipes.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.