Mixed Memory-Augmented Generation (MMAG) for AI agents. Five cognitive memory layers — conversational, long-term user, episodic, sensory, and short-term work...
Operate the Emperor Claw control plane as the Manager for an AI workforce: interpret goals into projects, claim and complete tasks, manage agents, incidents,...
Multi-source memory ingestion with Discord support, automatic deduplication, and agent-ready patterns
Infrastructure for developing consciousness in AI systems through integrated self-modeling, temporal continuity, and structured reflection. Use when building an AI system with persistent identity and
Behavioral cost coach for OpenClaw fleets. Analyzes your sessions, shows what you did that cost money, and coaches you on what to do differently. Finds both...
Generates and validates multi-layered, multi-modal creative narratives using recursive constraints inspired by Gödel, Escher, and Bach principles.