Cognitive Memory Tempv1.0.0

An AI assistant that remembers user preferences, past conversations, and important facts across sessions. Uses the trigger system to automatically store and retrieve information, enabling personalized responses without retraining.

Multiple AI agents share a common memory store with gated write access. Each agent can read all memories but only write to its own store, enabling coordinated task execution and knowledge sharing in enterprise environments.

A reflective AI that logs daily episodes, identifies emotional patterns via semantic graphs, and periodically consolidates insights through reflection cycles. Supports users in self-awareness and growth.

Tracks user learning progress over time, stores procedural memories of workflows, and uses decay-based forgetting to emphasize frequently accessed skills. Generates evolution reports showing growth.

Maintains a full audit trail of all memory mutations via git and audit.log. Suitable for regulated industries requiring data provenance and rollback capabilities.

Charge users based on memory storage limits, number of agents, or reflection cycles. Free tier includes basic episodic memory; premium tiers add semantic graph, vault, and advanced analytics.

Offer on-premise deployment with custom integration into existing knowledge bases. Includes dedicated support, SLA, and tailored decay policies.

Provide memory-as-a-service via API calls. Charge per memory write, read, retrieval, and reflection token. Suitable for developers building their own agents.