Provides coding agents with durable, cross-session lessons-learned memory, enforcing that success or failure verdicts can only come from human approval, human correction, or objective metrics—never from the agent itself.
Provides coding agents with persistent, evidence-backed project memory and knowledge across sessions, using a structured memory tree and local knowledge base.
Provides coding agents with persistent graph-backed memory, storing decisions, reasons, and contradictions across sessions so conversations pick up where they left off.
Enables local AI coding agents and web agents to store, retrieve, and search memories using hybrid semantic, lexical, and knowledge-graph ranking with cognitive decay modeling in a local on-device database.
Provides AI coding agents with persistent, traceable memory across projects by storing cue-pointer records that link back to full original contexts, enabling recollection of past decisions, patterns, and solutions.
