Memory that learns
from failure
The only AI memory system that treats failures as first-class knowledge. Persistent context across sessions. Reflective learning that evolves.
See it in action
Watch how Mneme learns from your conversations and builds persistent memory in under 60 seconds.
Features
Memory architecture that understands
Built on SCMS (Sparse Contextual Memory Scaffolding) — a cognitive architecture designed for reflective intelligence.
Failures First
Failure documentation is 3-10× more valuable than success. We capture what went wrong to help you avoid repeating mistakes.
Layered Memory
L0 active memories, L1 validated memories, L2 documentation. Your knowledge evolves and matures over time.
Self-Healing Cognition
When contradictions appear, the system self-corrects through the Integrity Cluster. Definitions stay consistent.
WHY Documentation
Memories include context, reasoning, and anti-patterns. Not just what, but why it matters.
Sparse Activation
Only essential memories are retrieved. No context pollution. High signal-to-noise ratio.
Conscious Integration
Memories aren't captured passively—they're consciously documented with reflection and intent.
How it works
From conversation to lasting memory
Converse naturally
Chat with Mneme like any assistant. Share context, ask questions, work through problems.
Memories extracted
Important facts, patterns, preferences, and failures are automatically identified and structured.
Layered storage
Memories enter L0 for validation. Proven patterns promote to L1. WHY documentation lives in L2.
Context restored
Next session, relevant memories surface automatically. Greatly reduced repetition. Full continuity.
Why Mneme
Other systems remember. Mneme understands.
Most memory systems capture what happened. We capture why it matters—and what to avoid.
| Feature | Mneme | Other Memory Systems |
|---|---|---|
| Failure documentation | ||
| WHY documentation | ||
| Anti-pattern capture | ||
| Self-healing cognition | ||
| Layered validation | ||
| Persistent context | ||
| Sparse retrieval |
Built on SCMS — Sparse Contextual Memory Scaffolding
Use Cases
A few ways to use Mneme
Development Workflows
Track coding patterns, debug sessions, and architectural decisions. Greatly reduce time re-explaining your codebase.
"Remember that the auth flow uses JWT with refresh tokens stored in httpOnly cookies."
AI Personas
Transfer your favorite AI persona from GPT-4o to GPT-5.1 with a single prompt—no extensive retraining required.
"Persona continuity is memory-dependent, not model-dependent."
Learning & Research
Build understanding over time. Capture concepts, correct misunderstandings, track what doesn't work.
"Failure: Assumed sparse attention was enough. Learned: need explicit anti-pattern capture."
Team Knowledge
Shared memory across sessions. Onboard new team members with institutional knowledge intact.
"Pattern: Always run contamination check before merging to main."
Start building memory
that actually learns
Free during beta. No credit card required. Your data stays yours.