clawvault
Agent memory system with memory graph, context profiles, checkpoint/recover, structured storage, semantic search, and observational memory.
Overview: ClawVault is an agent memory system that provides a structured memory graph, context profiles, checkpoint/recover functionality, and observational memory. It’s designed to prevent context death and facilitate graph-aware context retrieval. Key Features: - Memory graph with typed knowledge graph from wiki-links, tags, and frontmatter - Context profiles with semantic search and graph neighbors - Checkpoint/recover functionality - Structured storage with incremental rebuild - Observational memory with LLM API compression How It Works: ClawVault builds a typed knowledge graph from wiki-links, tags, and frontmatter, and provides a context profile with semantic search and graph neighbors. It also offers checkpoint/recover functionality and structured storage with incremental rebuild. Use Cases: - Storing and searching memories - Preventing context death - Graph-aware context retrieval - Repairing broken sessions
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