Local LLM
exo
Run frontier AI locally.
★ 47.7k starsApache-2.0
View guide →Sandbox for local AI agents so they only touch what they need.
agent-safehouse is an open-source local llm project by eugene1g (eugene1g/agent-safehouse on GitHub). It has 2,092 GitHub stars and 99 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 30 September 2026.
Set it up on your machine.
Choose which paths the agent may access.
Run your coding agent inside the sandbox.
The agent operates within its allowed scope.
Agents see only approved paths.
Scope exactly what agents may touch.
Built for agents running on your machine.
Limits damage from agent errors.
Reduces prompt-injection blast radius.
Works with Claude Code on Mac.
Download the source and move into the project folder.
git clone https://github.com/eugene1g/agent-safehouse.git
cd agent-safehouseEvery 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 commandSimilar idea: isolation, but scoped to what an AI agent may read and write.
Apache 2.0 licensed — commercial use allowed with attribution.
Claude Code on macOS is the headline; check the docs for others.
Sandboxing adds some overhead; check the docs for details.
No sandbox is perfect; treat it as risk reduction, not a guarantee.
Run frontier AI locally.
Hundreds of models & providers. One command to find what runs on your hardware.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Local-first dashboard of tokens, models, and cost for coding agents.
AI OSINT agent with 20 tools and REPL — for authorized research only.
A local-first context and memory layer for your AI agents.
The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if agent-safehouse 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.