BuildAutomata Memory
Provides AI agents with persistent, searchable, and versioned long-term memory that endures across conversations and tools.
概要
BuildAutomata Memory is an MCP server designed to equip AI agents, such as Claude, with a robust and persistent long-term memory system that endures across conversations. It enables semantic search for meaning-based retrieval, temporal versioning to track how memories evolve over time, and smart organization through categories, tags, and importance scores. This system facilitates seamless cross-tool memory synchronization and offers reliable persistent storage using SQLite, with optional integration of a Qdrant vector database for enhanced semantic search capabilities.
主な機能
- Hybrid Semantic and Full-Text Search (Qdrant + SQLite FTS5)
- Temporal Versioning for Complete Memory History and Audit Trails
- Rich Metadata (categories, tags, importance) for Smart Organization
- Persistent Storage with SQLite and Optional Qdrant Vector Database
- CLI and MCP Server for Flexible Access and Integration with AI Clients
- 4 GitHub stars
ユースケース
- Provide persistent context for AI agents across sessions
- Maintain project continuity by storing and recalling project states
- Facilitate research and learning with searchable, evolving knowledge bases
Sponsored