MCP server exposing a deterministic, local knowledge graph over stdio. Zero LLM calls in the bridge; answers are classified as Fact, Inference, or Unknown and persisted in redb (ACID, BLAKE3-hashed).
A Knowledge Graph MCP server optimized for LLM context efficiency through compact JSON and SQLite persistence. It enables full graph management including node/edge CRUD operations, full-text search, and subgraph traversal.
MCP server exposing a RAG knowledge base as read-only tools (search_knowledge_base, ask_knowledge_base, kb_stats, kb_diagnostic) for AI clients like Claude Desktop and Cursor, enabling token-efficient document retrieval and Q&A.
A local OKF-compatible knowledge engine for AI agents. Enables capturing agent conversations, hybrid semantic+keyword search, MCP serving to agents, interactive graph visualization, and OKF bundle export.
