Memory
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Provides a production-ready Model Context Protocol server implementing a three-tiered memory architecture for vertical agents.
About
The Memory server offers robust memory capabilities for AI agents through a sophisticated three-tiered architecture. It integrates dynamic short-term session context with configurable time-to-live, persistent long-term storage for comprehensive user profiles and preferences, and a searchable episodic memory for historical events, complete with sentiment analysis and tagging. Designed for production environments, this server ensures high performance, data integrity, and operational reliability for managing complex agent interactions and user data.
Key Features
- Three-tiered memory architecture (Short-term, Long-term, Episodic)
- Comprehensive API for memory management and retrieval
- Configurable short-term session context with TTL
- Persistent storage for user profiles, preferences, and demographics
- Searchable episodic memory with sentiment analysis and tagging
- 0 GitHub stars
Use Cases
- Managing dynamic user session context for AI agents
- Storing and retrieving persistent user profiles and preferences
- Recording and searching historical user interactions and events
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