Open-Core RAM Sidecar

Your AI
finally
remembers.

Stop losing context. Mnemostroma is an offline-first, local RAM sidecar for AI agents. It mimics human forgetting: noise fades, principles remain.

Mnemostroma Observer Logs Window

Not just another Vector DB.

Engineered for extreme constraint and ultimate privacy.

20ms

Semantic Latency

Zero cloud API roundtrips. Pure local execution.

600MB

Fixed Resource Budget

Runs silently in the background without hogging your system.

0 Leaks

100% Offline-First

Your data never leaves your machine unless you enable E2E Cloud Sync.

How Memory Dissolution Works

[The Strata Model]

Unlike traditional RAGs that blindly store everything, Mnemostroma actively forgets. It categorizes memory into three temporal strata.

  • RAM Hot: Immediate context, fast access. Noise is discarded over time.
  • Distill & Compress: Intermediate memory processed into rules.
  • Eternal Embedding: Core principles and facts are locked forever.
Mnemostroma Architecture Flowchart
Isometric 3D Memory Strata Model

Visualizing Forgetting.

The visualization to the left illustrates our RAM-first approach. We actively manage the intermediate 'RAM Hot' buffer, continuously compressing it down to 'Eternal' facts or rules.

This ensures extreme context continuity with minimal semantic latency (20ms) within a strictly defined memory budget.

See Pro Features & Cloud Sync →

Built for Solo. Ready for Teams.

The core engine is free and open-source.
For agencies and enterprises, we are launching Pro & Team tiers featuring E2E Cloud Sync and Shared Experience.

Secure your spot for early access and shared experience features.