Mnemosyne gives Hermes Agent persistent memory. Zero dependencies, SQLite backend, sub-millisecond recall. All local. No cloud, no subscription, your data stays on your machine.
If you've used Hermes without memory, you know the pain: every session is a blank slate. You tell it your stack on Monday, it asks again on Tuesday. Mnemosyne fixes that.
What it does:
- Remembers facts, preferences, project context, and past conversations across sessions
- Recalls relevant memories automatically when you ask about something it should know
- Consolidates old sessions into summaries so the database stays lean
- Works with or without embeddings (bring your own API key for OpenAI/Gemini if you want vector search, or skip it entirely)
What's new in v2.3:
- Tiered degradation (important stuff persists, trivial stuff fades)
- Veracity signals (flags unreliable memories instead of parroting bad info)
- Smart compression (auto-summarizes old sessions)
- Importers for Mem0, Cognee, Zep, SuperMemory, Letta, Honcho
Install it if you run Hermes: pip install mnemosyne-memory
GitHub: github.com/AxDSan/mnemosyne
Docs: docs.mnemosyne.site