Memphis Cognitive Engine

Track AI agent decisions and memory locally by installing the Memphis Cognitive Engine, which automates decision tracking, memory management, and cognitive analysis directly within OpenClaw agents. It operates as a local-first system requiring Node.js.

Yes, you can sync memory and decisions across multiple AI agents by utilizing the multi-agent network feature. This connects multiple Memphis instances to share knowledge, collaborate, and maintain synchronized memory across different agent environments.

Record a decision using cognitive memory management by executing the command `memphis decide "Use TypeScript" "TypeScript" -r "Type safety"` in your terminal. This saves the decision with its reasoning into the local memory system for future semantic search.

Yes, the Memphis Cognitive Engine requires the Memphis CLI, Node.js, and Git to function properly. These dependencies enable local-first memory management, automated decision tracking from git, and semantic search operations.

Semantic search for AI agent memory management works by indexing saved thoughts, decisions, and ideas to allow pattern recognition and predictive analysis. The Memphis Cognitive Engine uses cognitive models to search through this knowledge graph intelligently.

Yes, you can detect and predict decisions from git history automatically. The Memphis Cognitive Engine integrates with git to analyze past decisions, recognize patterns, and proactively suggest future decisions using its cognitive models.