Knowledge Graphs

Persistent knowledge graph: entities, relations, and observations for agents.

Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection

Model any domain in 7 questions — a WQuestions MCP server.

Temporal knowledge graph for codebases with constraint enforcement at the edit boundary.

MCP server that gives an LLM agent (e.g. HolmesGPT) a materialized, queryable service dependency graph in a graph database - deterministic root-cause (deepest failing service), blast radius, and observability blind-spot detection.

Agent-neutral MCP server — SQLite store, Postgres knowledge base, Kart task queue

Adaptive web research for AI coding agents — 91% of Deep Research quality at 5% cost

Ontology-based MCP server for database schema analysis and RDF/OWL ontology generation

Local-first knowledge graphs from your documents: build, search (GraphRAG) and edit on your machine.

Memory that federates. Local persistence + semantic search. Quality answers auto-promote to the WARF network.

Persistent graph-backed conversational memory for AI agents.

MCP server for graph database operations with FalkorDB

Zero-trust, air-gapped Enterprise GraphRAG MCP server with offline, citation-grounded answers.

Memory for AI agents that can't hallucinate — cited or abstains, provable forget, deterministic.

AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node

MCP server for Vala-Fi — query company relationships from SEC filings directly from Claude, Cursor, or any MCP client

Production-ready Model Context Protocol (MCP) stack

Self-maintaining code memory for AI coding agents: an Obsidian-compatible knowledge graph of your codebase, served over MCP and auto-curated from your work sessions.

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Distill AI coding sessions into weekly reports, ADRs and a knowledge graph - self-hosted