Локальные LLM
llamafile
Distribute and run LLMs with a single file.
★ 26,2 тыс. звёздUnknown
Смотреть руководство →ClawBio — проект с открытым исходным кодом из категории «Локальные LLM» от ClawBio (ClawBio/ClawBio на GitHub). У него 1 150 звёзд на GitHub и 279 форков, он распространяется по лицензии NOASSERTION и последний раз обновлялся на GitHub 4 октября 2026.
A utility for clawBio - The first bioinformatics-native AI agent skill library.
Change the config to match your workflow, then run it daily.
Pull the latest changes to stay current with fixes.
Decide what you want ClawBio to do first — a utility for clawBio - The first bioinformatics-native AI agent skill.
The README documents setup; start with the install section.
Coordinates multi-step agent behavior.
Working bioinformatics support built in.
Working equity support built in.
Working genomics support built in.
Readable code that is easy to modify.
Read and audit every line on GitHub.
Download the source and move into the project folder.
git clone https://github.com/ClawBio/ClawBio.git
cd clawbioInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointThe repo declares no license, so check with the maintainers before using it in anything commercial.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under NOASSERTION. Read the LICENSE file in the repo for the exact terms.
The repo shows activity as of 2026-10-04. Check the commit history and open issues on GitHub to judge how active maintenance is right now.
Distribute and run LLMs with a single file.
Secure MCP runtime letting AI agents operate your local machines.
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.
Write an agent skill once, sync it to 32 AI coding tools.
Desktop AI agent platform with one-click models and offline-first RAG.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если ClawBio 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 ClawBio — продолжайте изучать полку по обе стороны от него.
Local-first markdown editor that coding assistants can drive directly.
Local-first privacy guard that strips PII before documents reach an LLM.
Secure MCP runtime letting AI agents operate your local machines.
Dreaming explorable worlds: local AI assistant.
Pack and deploy local AI agents designed for your team in minutes.
Autonomous Android agent that sees and taps your phone like a human.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.