AI Agents
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Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
★ 48.8k starsMIT
View guide →Multi-agent platform where every agent gets its own computer and long-term memory.
Memoh is an open-source agents project by felinics (felinics/Memoh on GitHub). It has 2,639 GitHub stars and 253 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 4 October 2026.
Self-host the platform.
Bring your own model API key.
Each gets a computer, desktop, and memory.
Monitor agents across their machines.
An isolated machine per agent.
Agents remember across sessions.
Use your own model keys.
Host Claude Code, Codex, and more.
Full desktop environments per agent.
Run many agents at once.
Download the source and move into the project folder.
git clone https://github.com/felinics/Memoh.git
cd MemohEvery 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 felinics/Memoh with 253 forks.
It is AGPL-3.0, which has strong copyleft terms; get legal advice first.
Each agent gets a virtual computer, so plan capacity accordingly.
You bring your own key, so any supported model API.
It is a full managed platform: desktops, networking, and memory per agent.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
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