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.

An MCP server that uses LightRAG and Tree-sitter to build a repository knowledge graph from code and docs, for Q&A and implementation planning.

GraphRAG, RAG, LlamaIndex, LangChain, 15 Prop Graph, 4 RDF, 10 Vector, 3 Search DBs. 14 data srcs, auto sync, Alfresco, Nuxeo, SharePoint, Box, CMIS, S3,GCS,Azure, web. KG auto-bld, Ontologies, 13 LLM providers, Docling, LlamaParse, LiteParse, Hybrid Search, AI Chat. TypeScript React, Vue, Angular, Python, REST, MCP, OpenArch, Langflow, CocoIndex.

Centrality-aware GraphRAG retrieval planner — drop-in layer over any vector DB

Cross-platform launcher for Agent Guidance Rust MCP Server & GraphRAG Intelligence Engine

Source code graph RAG (graphRAG) for Java/Kotlin development based on jQAssistant

Centrality-aware GraphRAG retrieval planner — drop-in layer over any vector DB. Zero LLM in the query path; MCP server included.

Ask questions about the books you own: an AI reader that turns e-books into a knowledge graph and answers with every sentence cited, without spoilers past your chapter. GraphRAG + MCP.

🧠 MCP server that gives AI agents symbolic, GraphRAG-style reasoning over a Magento, Adobe Commerce, MageOS and PHP codebase, plus semantic search over its admin configuration.

Production-grade GraphRAG system: hybrid retrieval (vector + BM25 + knowledge graph), reranking, grounded cited answers with refusal, SSE streaming, and an MCP server, built with FastAPI, LangChain, LangGraph, Qdrant, and React.

AI code assistant with GraphRAG: FastAPI + React platform using LangChain agents, a Neo4j code knowledge graph, and ChromaDB hybrid retrieval for LLM-powered code generation, review, and analysis with SSE streaming and an MCP server.

Local-first personal knowledge base CLI — hybrid FTS + pgvector search, a GraphRAG entity graph, and LLM enrichment over your notes, transcripts, Slack & Gmail. Runs fully local on Ollama (no cloud, no API keys); queryable by any AI agent through the built-in MCP server. Postgres-backed, publishes an Obsidian-style Quartz wiki.

Open-source tools for AI on Memgraph: persistent agent memory, knowledge graphs, GraphRAG, and integrations for LangChain, LightRAG, and MCP.

MCP server for Obsidian GraphRAG, agent-ready context, preview-only planning, and safe repo handoffs

AINative ZeroDB MCP Server - 93 operations for vector search, TurboQuant vector compression (PolarQuant + QJL), NoSQL, dedicated PostgreSQL management, files, events, RLHF, knowledge graph (entities, edges, traversal, GraphRAG, ontology CRUD, contradictio

The Self-Hostable MCP Agent Runtime OS for the Computer-Use Era. 1,303 APIs across 82 categories, free evolving persistent memory (GraphRAG + episodic), zero-trust agent identity (NIST-aligned SPIFFE/SVID), computer use backend, MCP gateway + policy engin

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.

Memory and context manager just works.

Local-first code graph builder with 5-signal hybrid search for AI coding agents

Hackathon project for Huggingface's MCP 1-year Anniversary 2025 – Team Synapse

Long-term memory for coding agents over MCP: hybrid search over Markdown notes with a link graph, on PostgreSQL, Qdrant, and Ollama

Inspectable AI agent memory, context engineering and multi-agent orchestration with an MCP server and logical-fleet benchmarks

Enargeia turns scattered Windows documents into a verifiable knowledge graph – without moving a single file.

A personal knowledge graph for notes, meetings, and emails, with semantic search and cited answers.

A fact base and lenses for any codebase. Zero-LLM-cost indexing, MCP server for coding agents, BYOK.

Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens. A push for data sovereignty.

Self-hosted knowledge-graph memory for AI assistants. Editable entities and relationships over MCP, with hybrid dense and sparse retrieval.

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

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

UPLO MCP Server — Organizational knowledge for AI agents. 21 tools for searching, querying, and exporting structured organizational context.

Provide AI agents with long-term memory using a neuroscience-based knowledge graph and Model Context Protocol for improved coding assistance.

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

Tensory — Claim-native MCP Memory Server. LLM claim extraction → Graph + Vector + SQLite. Zero-setup persistent memory for Claude, Cursor & any MCP client.

THOUGHT — Temporal Hierarchical Object Union & Graph Hybrid Toolkit. A local MCP memory server with bi-temporal graph + vector + temporal layers, a query router, and a consolidation engine.

Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.

Local MCP memory server for LLMs. Bi-temporal graph + vector + Cypher queries + auto-write/auto-recall hooks for Claude Code. Works with Ollama, LM Studio, Anthropic, OpenAI.

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.

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-first AI memory OS — a shared knowledge graph for Claude, Cursor, Cline and any MCP client. Not just storage: it spots your blind spots and challenges your thinking. 25 MCP tools, fully offline.

Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.

A production-grade Model Context Protocol (MCP) server engineered for LLM agents. Features highly modular, XML-isolated toolkit pipelines that eliminate formatting bias across custom data lookups and external API actions. Ready for standard local Stdio IDE workflows or scalable, multi-container SSE Docker network meshes.

Multi-language code parser (Python, Rust, JS/TS, Go, Java, C/C++) that extracts dependency graphs and stores them locally in SQLite. Provides three access methods: CLI for direct queries, REST API for programmatic use, and MCP server for IDE integration with Claude or Cursor.

Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards

Give any AI assistant a private, token-free memory of your files — Claude, Gemini, Cursor, VS Code, Windsurf, Codex & Grok. Converts attachments (PDF/Office/EPUB/archives) to Markdown and builds a searchable knowledge-graph memory to recall from. 100% local, deterministic, model-free (no LLM/GPU). Incremental & portable; English + Bengali. MIT.

The open-source context layer for AI agents and enterprise AI search. Permission-aware search and cited answers across 30+ sources, including Slack, Drive, Jira, GitHub and Microsoft 365, for people and agents through MCP, SDKs and built-in agents. Self-hosted or Cloud.

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d

Knowledge engine for AI agents: your documents become a git-versioned markdown knowledge graph the agent navigates over MCP. Curated summaries, typed edges, cited answers, SQL over your spreadsheets, no chunking. Same 12B local model: 0/11 on multi-hop questions as top-k RAG, 11/11 as a navigator. Python, Apache-2.0, self-hostable.