Intelligence · Feb 2025 — Mar 2025
Self-Evolving Knowledge Organization That Learns From Outcomes
A self-evolving control layer that discovers the best way to organize knowledge for your specific use case.
Services
Technologies
Software
Client
CogMem Open Source
The Adaptive Cognitive Plane (ACP) is what makes CogMem a self-evolving system. It observes how the system performs and learns how to organize knowledge more effectively over time. Every structural choice — chunk size, retrieval mode, graph schema, claim predicates — is treated as a testable hypothesis rather than a fixed decision.
The ACP introduces Memory Strategies as explicit, versioned hypotheses about how to organize knowledge. Outcome Signals capture feedback from every operation. The Meta-Kernel evaluates strategies and proposes improvements — but never executes directly. Every change is reversible, auditable, and observed through evaluation windows before confirmation.
Explicit, versioned hypotheses about how to chunk, index, retrieve, and maintain knowledge.
Feedback loops capturing retrieval success, user corrections, latency, and cost metrics.
Evaluates strategy effectiveness and generates restructuring proposals with rationale.
Safely applies approved structural changes with full rollback capability.
New strategies are observed before being confirmed, with automatic rollback on regression.
All changes are proposed, reversible, auditable, and never modify source code.
Get started with CogMem and transform how your AI agents remember, organize, and evolve knowledge.
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Website
cogmem.ai