Provides a tiered, persistent memory architecture for Claude to automatically capture and retrieve user preferences, facts, and conversation history across sessions. It supports semantic search and seamless integration with the Claude desktop application using the Model Context Protocol.
Provides a persistent "second brain" for Claude featuring zero-latency hot caching, semantic cold storage, and automatic pattern mining from activity logs. It enables users to store, search, and automatically extract project facts and code patterns for enhanced contextual recall.
Provides persistent semantic memory for Claude Code and Claude Desktop with fully offline local embeddings and HNSW indexing, enabling memory storage, semantic search, listing, and deletion across sessions.
Local workspace memory for Claude Desktop.
Indexes documents into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph.
Provides Claude with a persistent local memory and structured knowledge graph to track project states, tasks, and historical decisions across different chat sessions. It enables users to recall information using keyword relevance, time-travel queries, and dependency analysis for complex project management.
Provides Claude with persistent local memory and a structured knowledge graph for tracking project states, task dependencies, and historical context. It enables users to store notes, manage task relationships, and perform time-travel queries to reconstruct past information without relying on cloud services.
