RAG и базы знаний
WeKnora
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
★ 31,9 тыс. звёздUnknown
Смотреть руководство →atomic-agent — проект с открытым исходным кодом из категории «Локальные LLM» от AtomicBot-ai (AtomicBot-ai/atomic-agent на GitHub). У него 2 729 звёзд на GitHub и 256 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 2 октября 2026.
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
Scriptable from the terminal, so it drops straight into existing workflows.
Large language models drive its smartest features, locally or via API.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Download the source and move into the project folder.
git clone https://github.com/AtomicBot-ai/atomic-agent.git
cd atomic-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 commandIt is an open-source project at AtomicBot-ai/atomic-agent with 256 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llm…
Local-first dashboard of tokens, models, and cost for coding agents.
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
Agent hub that spins up a fresh orchestrator per task, local-first.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если atomic-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 atomic-agent — продолжайте изучать полку по обе стороны от него.
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models rem…
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in productio…
AI e-book reader with semantic search, RAG chat, notes, and text-to-speech.
GGUF Quantization support for native ComfyUI models
Local-first widget tracking token usage and costs across 43+ AI coding tools.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.