phileas-memory 0.1.0

Local-first long-term memory for AI companions

Phileas — persistent memory for AI

AI conversations reset every session. Phileas is a local memory layer that any LLM can read and write through MCP, so context survives across sessions and tools.

Get started

pip install phileas-memory
phileas init

The setup wizard connects Phileas to your MCP client (Claude, GPT, Ollama, or any other) and chooses where to store memories.

First run

On first run, phileas init downloads two small models that run locally — an embedding model (all-MiniLM-L6-v2) and a reranker (ms-marco-MiniLM-L-6-v2), about 150 MB together — from Hugging Face. Expect a one-time wait on a slow connection; they're cached afterward, so later runs work offline.

No external LLM API key is needed to try Phileas: your MCP client's model does the reasoning, and the embedding and reranking run on your machine.

Connect to your AI

If you use Claude Code, phileas init handles this automatically.

For other MCP clients, start the server and point your client at it:

phileas serve

Principles

• Local-first — memories stay on your machine
• Model-agnostic — works with any LLM via MCP
• Natural forgetting — irrelevant detail decays; recall favors what stays useful
• Open — run it yourself, read the code

For the command reference, run phileas --help or phileas COMMAND --help.

Requirements

Python 3.11+

License

MIT