Local LLM
llamafile
Distribute and run LLMs with a single file.
★ 26.2k starsUnknown
View guide →A utility for clawBio - The first bioinformatics-native AI agent skill library.
ClawBio is an open-source local llm project by ClawBio (ClawBio/ClawBio on GitHub). It has 1,150 GitHub stars and 279 forks, is released under the NOASSERTION license, and was last updated on GitHub on 4 October 2026.
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.
Local-first agent harness with loop, memory, and evals in readable code.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if ClawBio is not the right fit.
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.
Free and open — grab the source, star the repo, and start creating.