Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
Instruções da origem · Visualização somente leitura
name
cognitive-memory
description
Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.
Cognitive Memory System
Multi-store memory with natural language triggers, knowledge graphs, decay-based forgetting, reflection consolidation, philosophical evolution, multi-agent support, and full audit trail.
Quick Setup
1. Run the init script
bash scripts/init_memory.sh /path/to/workspace
Creates directory structure, initializes git for audit tracking, copies all templates.
2. Update config
Add to ~/.clawdbot/clawdbot.json (or moltbot.json):
Append assets/templates/agents-memory-block.md to your AGENTS.md.
4. Verify
User: "Remember that I prefer TypeScript over JavaScript."
Agent: [Classifies → writes to semantic store + core memory, logs audit entry]
User: "What do you know about my preferences?"
Agent: [Searches core memory first, then semantic graph]
Architecture — Four Memory Stores
CONTEXT WINDOW (always loaded)
├── System Prompts (~4-5K tokens)
├── Core Memory / MEMORY.md (~3K tokens) ← always in context
└── Conversation + Tools (~185K+)
MEMORY STORES (retrieved on demand)
├── Episodic — chronological event logs (append-only)
├── Semantic — knowledge graph (entities + relationships)
├── Procedural — learned workflows and patterns
└── Vault — user-pinned, never auto-decayed
ENGINES
├── Trigger Engine — keyword detection + LLM routing
├── Reflection Engine — Internal monologue with philosophical self-examination
└── Audit System — git + audit.log for all file mutations
