2 Repos
Systems for organizing agent memory into episodic, identity, and knowledge categories.
Distinguishing note: Focuses on classification and weighting, distinct from general memory storage.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Agent Memory Categorization. Refine with filters or upvote what's useful.
SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer
Organizes memory into distinct categories like episodic, identity, and knowledge with specific schemas and retrieval weights.
MIRIX is an AI agent state orchestrator and long-term memory system designed to provide persistent context for large language models. It functions as a multi-modal AI memory pipeline that processes text, voice, and screen captures into structured knowledge stores, including a dedicated screen activity knowledge base. The project distinguishes itself by integrating a multi-modal observation pipeline that monitors desktop activity in real-time to build a searchable history of user actions. It utilizes a multi-tiered memory hierarchy—separating episodic, semantic, procedural, and core stores—and
Uses specialized agents to categorize user activities into structured episodic, semantic, and procedural memory types.