CellCog

AI & LLMs

CellCog provides a persistent memory and cognitive architecture for AI agents, enabling long-term recall across conversations. It stores facts, preferences, and interaction history in structured memory layers, allowing your assistant to remember context from weeks or months ago. No more repeating yourself every session.

Features

✓Persistent long-term memory that survives across conversation sessions

✓Structured memory layers: episodic, semantic, and procedural recall

✓Automatic fact extraction and relationship mapping from conversations

✓Memory search and retrieval with relevance scoring

✓Privacy controls: view, edit, or delete specific memories at any time

Use Cases

A personal assistant that remembers your dietary restrictions, meeting preferences, and project details across months of conversations

A customer support bot that recalls previous interactions and resolutions for returning users

An AI coach that tracks your goals, progress, and habits over time to provide personalized advice

Installation

Install this skill with one command:

Or deploy with ClawRapid

Skip the setup. Get a fully managed OpenClaw instance ready to go.

Deploy with ClawRapid

Related Skills

AgentLens

Observability and debugging for AI agents

Context Manager

Advanced conversational context management