Provides AI agents with persistent, searchable memory using a knowledge graph stored in SQLite. Features semantic search, temporal awareness, and workflow-aware prompts for development projects.
Provides a unified context system for AI coding agents with memory, knowledge graph, specs, and code graph subsystems, all stored in SQLite. Enables persistent recall of decisions, conventions, errors, project knowledge, and code structure.
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.
A persistent memory server for AI agents that stores structured notes in a local SQLite database with full-text search and graph-based relationships. It features 32 specialized tools for managing long-term context, including version history, automated TTL expiration, and complex filtering.
Enables AI assistants to maintain persistent understanding of code projects across chat sessions via a SQLite brain that caches structural maps, summaries, and decisions. Provides tools for querying project structure, searching code, and recording insights to reduce token usage and avoid re-analysis.
Ultra-lean memory system for AI coding tools that stores project knowledge locally with SQLite and enables AI to remember your project across sessions.