brianchilders/memory-mcp

Local semantic memory + time-series intelligence layer for AI abilities. Runs on Ollama — no cloud, no API keys. Gives your AI a persistent, searchable, self-improving memory backed by SQLite.

24
/ 100
Experimental

Gives your local AI assistants a persistent, searchable, self-improving memory without relying on cloud services or API keys. It takes in various types of information, like sensor data, conversations, and user preferences, and intelligently organizes them as natural language facts. This allows your AI to recall specific details, understand long-term trends, and act on remembered intentions, making it ideal for managing smart homes or personal digital assistants.

Use this if you need your AI to remember past interactions, sensor readings, and personal preferences, allowing it to provide more relevant and personalized responses and actions over time.

Not ideal if you are looking for a simple, stateless chatbot or do not require your AI to retain and learn from historical information.

smart-home-automation personal-assistants home-intelligence ambient-computing local-ai
No Package No Dependents
Maintenance 13 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

Language

Python

License

MIT

Last pushed

Mar 27, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/brianchilders/memory-mcp"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.