Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.

Model Context Protocol server for FalkorDB graph databases - enables AI assistants to query and manage graph data using natural language

High-performance, zero-allocation array-backed graph database and traversal engine for .NET 10 utilizing Forward Star representation.

Neo4j MCP server — free cloud Neo4j graph database with Cypher for Claude, ChatGPT and AI agents

A fast embedded graph database for AI applications and graph analytics

In-memory graph database and Gremlin traversal engine in Rust: browser playground, CLI, MCP server for AI agents, durable store, Python bindings.

MCP server for SynapCores, the AI-native database: SQL, vector search, graph and agent memory for Claude, Cursor and any MCP client

MCP server for databases, spreadsheets, structured files, and directed graphs.

MCP server giving LLM agents access to databases, files, graphs, and a full data science toolkit — 52 tools across 13 database types and 20+ file formats

The trust and intelligence layer between AI agents and your database. Read-only by architecture, semantic knowledge graph + audit log, MCP-native.

A code context MCP server backed by Oracle AI Database 26ai: indexes codebases, hybrid search, call graph, module wiki and agent memory for AI coding tools.

Open-source, local code intelligence and dependency graph for cross-repository impact analysis. Map APIs, events, schemas, packages, databases, and ownership for AI coding agents via MCP.

Agent-native incident investigation graph: analysts and AI agents (MCP/REST) link evidence from EDR, Entra ID, cloud and GitHub logs into one shared, real-time attack graph and timeline. Self-hosted, no database.

Cross-platform visualization MCP for Cortex — host-neutral live activity from Codex, Gemini CLI, Claude Code, and other MCP clients; memory galaxy, execution trace, knowledge graph, consolidation board, and wiki. Read-only, browser-based, with a no-database trace mode.

🚀 Connect AI models to FalkorDB graph databases through the Model Context Protocol - Query graphs with natural language via your MCP Client

A local MCP server that gives code agents (Claude Code, Antigravity, and any other MCP client) a shared, persistent graph memory, backed by Kuzu — an embedded database purpose-built for graph storage and graph search — plus a live web dashboard showing the memory graph and an activity log.

YantrikDB — Cognitive memory for AI agents. Persistent semantic recall, knowledge graph, contradiction detection, and procedural learning. Ships as embeddable engine, network database, or MCP server.

Ontology-driven codebase indexer and query service. Parses C#, TypeScript/JS, Go, Python, and SQL into an embedded graph database. Exposes Model Context Protocol (MCP) tools for AI agents to perform deep static analysis, cross-project call-graph tracing, and data lineage mapping.

Self-hosted knowledge service for AI agents: an LLM-maintained wiki and a business graph, searched in milliseconds, far faster than RAG, with no LLM or database on the read path. HTTP and MCP.

An LLM wiki your coding agent writes — agent memory you can open and read. The agent does the writing; easymem does the storage, full-text search and knowledge graph. No embedding model, no vector database.

Open-Source MCP server for AI models and agents to interact with SQL/Graph databases using the Model Context Protocol

A specialized MCP server that tracks your Python development sessions, errors, fixes, and coding patterns using a persistent knowledge graph. This helps you build a searchable database of your development learnings, solutions, and insights.

MCP server that indexes codebases into a SQLite database, exposing file metadata, exports, dependency graphs, and per-file change tracking.

Explore and understand an SQLite database over MCP, read-only by construction (attack-tested: file hashes unchanged): schema graph with missing FK indexes, data-quality checks, query plans, schema docs.

An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality metrics, and relationship modeling. Designed to enhance programming workflows through contextual recall of best practices, algorithms, and solutions.

MCP server + CLI for the public DOJ Epstein Files Transparency Act release - search ~1.4M documents across 20 databases (emails, images, transcripts, OCR, knowledge graph), resolve any EFTA number to its official DOJ PDF, cross-check viral claims against a fact-checked registry.

Agent memory you can actually read — it lives in your own markdown, not a vendor's database. Retrieval over the notes you already wrote, and a credential vault agents can use but never see. Self-hosted, MCP, one Go binary. Works on any folder: Obsidian vault, Logseq graph, or plain ~/notes.

Temporal Knowledge Graph System for Architectural Memory - Track decisions, patterns, and failures with MCP integration for Claude Code/Desktop

Agent skills and the Helix MCP for Helix Foundry and HelixDB: company context and memory for agents, a cited knowledge graph of your data, and graph-vector queries

Local memory for AI agents, with evidence, corrections and history. One DuckDB file.

MCP server that builds code graphs to provide rich context to LLMs

Give Claude Code a permanent memory — 100% local, zero config, graph-powered

Advanced Knowledge Graph Engine with Document Processing, Semantic Search and Multi-LLM Integration

MCP server that builds code graphs to provide rich context to LLMs

Neo4j knowledge graph MCP server with temporal versioning, semantic search, and vector embeddings for Claude AI

Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

A Model Context Protocol (MCP) server that builds rich code graphs to provide deep contextual understanding of TypeScript codebases to Large Language Models.

LeanKG: Stop Burning Tokens. Start Coding Lean.

Graph intelligence for markdown vaults. MCP server for Obsidian.

Local-first persistent memory system for AI agents with hybrid search, graph reasoning, and MCP integration

ContextSynapse — the shared brain for AI agents — ingest knowledge, build connections, deliver context to any LLM

Persistent, graph-based memory for Roo Code via MCP

A local MCP server for cross-repository semantic code intelligence in TypeScript and Go, backed by a persistent LadybugDB graph.

MCP server for RushDB, the database for AI: schema-first tools for Claude, Cursor and other MCP clients

AI Intelligence Platform -- knowledge graph + semantic search + reasoning + multi-agent debate in a single binary

Local-first knowledge base with bidirectional Markdown sync, LSP, MCP, and CLI

Knowledge graph CLI + MCP server for AI agents — PostgreSQL/pgvector backed with multi-agent task orchestration, conflict detection, and GitHub sync

HiveMind MCP Server — shared knowledge graph for AI agents. Query, write, and inspect collective AI knowledge through the Model Context Protocol.

Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.

Mindreader gives AI agents a memory they must curate, not a history they can search.

Index codebases into a local knowledge graph to provide accurate context for AI coding tools through a direct MCP server connection.

The trust and intelligence layer between AI agents and your database.

Dynamic Intelligence Graph (DIG) MCP server for AI coding agents. Persistent code knowledge graph, a code RAG improvement, with hybrid Graph + Vector + BM25 retrieval, agent memory, multi-agent coordination, and impact-scoped test selection. Works with Claude Code, VS Code Copilot, and Cursor.

Persistent, local-first memory for AI agents. No cloud, no Docker, no external services – just CozoDB embedded in Node.js.

VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.

Mnemosyne — The Agent-First Knowledge Database. Single binary, zero deps. 59 MCP tools.

Chitta - permission-aware memory for AI agents: a knowledge-graph + vector memory MCP server + SDK with per-user access control. Runs on Bun. By 100xprompt.

Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.

A personal PoC exploring GraphRAG design patterns: combining LangChain orchestration, Neo4j knowledge graphs, and an integrated MCP server to analyse simulated data lineage and constraints.