Builds a persistent knowledge graph from notes and conversations, enabling semantic search, entity exploration, and GTD task management from any MCP-compatible AI assistant.
Self-hosted, local-first knowledge graph and memory server for AI agents. Enables agents to persist, recall, and organize knowledge through MCP with automatic distillation, deduplication, and cross-linking.
Enables building and querying knowledge graphs by ingesting documents into Neo4j using Gemini for entity extraction, and exposes MCP tools for graph health, document ingestion, and knowledge base querying.
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.
Obsidian-backed knowledge graph with semantic search, entity extraction, and cross-session memory. 11 MCP tools. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible editor.
Enables AI agents to semantically search, retrieve, and augment an org-roam knowledge graph via MCP, with features like vector-based search, YouTube ingestion, and local LLM processing.