BuildAutomata Memory

Provides persistent memory storage with temporal versioning, semantic search, and automatic decay using SQLite for reliability and Qdrant for vector similarity search to maintain context across conversations and learn from past interactions.

BuildAutomata Memory MCP provides persistent memory storage for AI agents with temporal versioning, semantic search, and multi-backend architecture. Created by Jurden Bruce, it combines SQLite for reliable persistence, Qdrant for vector similarity search, and sentence transformers for embeddings, with automatic memory decay, LRU caching, and complete version history tracking. The system supports both MCP server mode for Claude Desktop integration and a standalone CLI for direct access from development tools, making it ideal for AI assistants that need to maintain context across conversations and learn from past interactions.