AI Agents
basic-memory
Basic Memory: local-first MCP memory so you and your AI tools build a shared knowledge graph in Markdown
★ 4.1k starsAGPL-3.0
View guide →Local-first AI memory that runs offline on just 8 GB of RAM.
taosmd is an open-source ai agents project by jaylfc (jaylfc/taosmd on GitHub). It has 79 GitHub stars and 3 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 8 October 2026.
Write down the outcome you want in one sentence.
Clone it locally and check the README.
Get dependencies and tooling in place per the docs.
Follow the minimal example, then adapt it to your needs.
No cloud, no API calls, no meter.
Runs on SBCs, mini PCs, laptops.
Zero-loss record of what happened.
Structured relationships, local.
Combines search strategies.
Works with any agent stack.
Download the source and move into the project folder.
git clone https://github.com/jaylfc/taosmd.git
cd taosmdIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m taosmd # check README for the exact commandIt is an open-source project at jaylfc/taosmd with 3 forks. Check the contributors tab and recent commits to judge how active maintenance is.
The code is AGPL-3.0: free to use and modify, but if you run a modified version as a network service you must share your source changes.
That's the target — any machine with 8GB+ RAM, including SBCs and mini PCs, fully offline.
Free to use and modify; if you run a modified version as a service, share your changes.
Clone the repo and follow the README quickstart — the README is the best starting point.
Basic Memory: local-first MCP memory so you and your AI tools build a shared knowledge graph in Markdown
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