Neural Memory Enhanced

Advanced associative memory helper for building relationships between facts and entities. Use when processing dense information to ensure context is preserve...

Enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting, pseudo-relevance feedback, salience scoring, and knowledge graph cross-references. Replaces the default memory search with a 4-signal fusion retrieval system. Use when searching memories, indexing memory files, building cross-references, or scoring memory salience. Requires Ollama with nomic-embed-text model.

An enhanced memory system for OpenClaw agents that replaces the default single-file MEMORY.md with a complete memory architecture: hierarchical directory org...

Enhanced memory system based on Atkinson-Shiffrin three-stage memory model. Use when: (1) User wants better memory of conversation history, (2) User mentions...

Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.

Persistent semantic memory for AI agents — local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions.