Mnemonic — self-hosted memory for AI agents.
An open-source self-hosted long-term memory service for autonomous agents. Context tree architecture, 6-category classification, contradiction resolution. Runs on mem0 + Qdrant, costs ~$1–2/month to operate on a small VPS.
Design goals
- Self-hostable — no vendor lock-in.
- Cheap to run — single-node default under $5/month.
- Auditable — every write is attributed and explicable.
- Contradiction-aware — resolves conflicting facts instead of overwriting.
- 6-category context tree — structure that makes sense to humans too.
Who it's for
Agent developers who need more than a raw vector DB. Anyone who's been burned by a cloud-only memory vendor. Teams with a security or compliance reason to keep agent memory in-house.
Mnemonic is pre-v1. If you want help integrating it into a production agent, that's a fractional engagement with NeuraScale.
FAQ
What is Mnemonic in one sentence?
A self-hosted long-term memory service for autonomous AI agents with a context tree + contradiction resolution.
Why open-source?
Memory is too fundamental to rent from a vendor. Every serious agent deployment needs an audit-trail-friendly memory layer that runs on your infra. Open-source is the honest answer.
Is this production-ready?
We use it internally (Zeno runs on a fork). For third-party production use we'd recommend waiting until v2, which is on the roadmap for Q3 2026.
Need long-term agent memory without a cloud dependency?
Try Mnemonic. If you want hands-on help integrating it, we do that.