MyBrain
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
One shared local memory hub so every AI agent remembers the same you.
memmy-agent is an open-source local llm project by MemTensor (MemTensor/memmy-agent on GitHub). It has 2,035 GitHub stars and 196 forks, is released under the MIT license, and was last updated on GitHub on 30 September 2026.
Set up the local memory hub.
Let it learn your context and preferences.
Link Claude Code, Codex, and others.
Every agent now remembers the same you.
One memory across all your AI agents.
Runs on your machine, under your control.
Remembers you between sessions.
Claude Code, Codex, OpenClaw, Hermes, more.
You own what is stored and shared.
Doubles as your own AI assistant.
Download the source and move into the project folder.
git clone https://github.com/MemTensor/memmy-agent.git
cd memmy-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 one shared hub, so context follows you across tools instead of siloing.
MIT licensed — commercial use allowed.
It runs locally and is fully controlled by you.
Claude Code, Codex, OpenClaw, Hermes, and more; check the docs.
Since you control the hub, you manage what is stored.
All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.
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Local-first agent harness with loop, memory, and evals in readable code.
Agent hub that spins up a fresh orchestrator per task, local-first.
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 memmy-agent 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
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Free and open — grab the source, star the repo, and start creating.