YantrikDB offers a robust cognitive memory server designed to enhance AI agents by providing advanced memory capabilities. It allows agents to automatically recall relevant context, remember past decisions, and detect contradictions without explicit prompting. Unlike file-based memory systems that load all data, YantrikDB utilizes selective recall, significantly reducing token usage and improving performance, especially with large datasets. It integrates seamlessly with MCP-compatible clients like Claude Code, Cursor, and Windsurf, and supports local or remote server deployments with secure API key authentication. The server includes a comprehensive suite of tools for memory management, knowledge graph operations, conflict resolution, and more, all while ensuring data privacy by storing information locally on your machine.
主な機能
01Selective O(1) Context Recall for AI agents
02Comprehensive Knowledge Graph Operations
03Procedural Memory Learning and Reinforcement
04Secure Local Data Storage with optional Remote Server Mode
051 GitHub stars
06Automated Contradiction Detection and Resolution
ユースケース
01Enable AI agents to automatically recall relevant conversation context.
02Allow AI agents to remember decisions, preferences, and facts, building a persistent knowledge base.
03Detect and help resolve conflicting information stored within an AI agent's memory.
