MCP servers for knowledge-graph

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zer

A Datalog engine for LLM agent memory: stratified rules, provenance-tracked facts, incremental derivation, and an MCP server that lets your harness use it as a shared brain.

Turn arXiv and LaTeX mathematical papers into theorem dependency graphs for AI agents through MCP.

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

⚡ The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia.

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

The memory layer that gets better as you use it. What broke, why, what depended on what, even the "push this to Wednesday" kind of thing that never makes it into any doc. No one has to write it down.

Baron Munchausen — local memory for coding agents that outlives the chat, with a verdict on every answer. Public alpha.

Zero-dependency CLI to scan, recommend, deduplicate, audit, and visualize Claude Code / Codex skills and MCP servers.

The provenance-first personal graph engine behind Wend. A typed graph of people, organizations and events where every fact carries a source, every AI write is a human-confirmed proposal, and any MCP-c

GenPark AI Agent Skill - Extracts clean (Subject, Predicate, Object) triplets and temporal relations from unstructured interactions.

GenPark AI Agent Skill - Resolves conversational pronouns and ambiguous entity references to canonical graph entity node identifiers.

GenPark AI Agent Skill - Bitemporal knowledge graph edge manager enforcing valid-time and transaction-time intervals for agent memory.

GenPark AI Agent Skill - Reciprocal Rank Fusion (RRF) combining dense vector similarity with graph traversal shortest-path proximity.

GenPark AI Agent Skill - Reciprocal Rank Fusion (RRF) combining dense vector similarity with graph traversal shortest-path proximity.

GenPark AI Agent Skill - Extracts clean (Subject, Predicate, Object) triplets and temporal relations from unstructured interactions.

GenPark AI Agent Skill - Consolidates episodic dialogue logs into semantic long-term memory summaries with importance decay and salience filters.

GenPark AI Agent Skill - Bitemporal knowledge graph edge manager enforcing valid-time and transaction-time intervals for agent memory.

GenPark AI Agent Skill - Consolidates episodic dialogue logs into semantic long-term memory summaries with importance decay and salience filters.

GenPark AI Agent Skill - Resolves conversational pronouns and ambiguous entity references to canonical graph entity node identifiers.

Code-to-column change-impact knowledge graph for AI coding agents: the round trip from a screen to a database column and back, over MCP

Entity-relation-object triplet extractor and multi-hop path reasoning kernel with Cypher and JSON-LD graph generation.

Zero-dependency hybrid retrieval engine fusing sparse lexical BM25 Okapi and dense Cosine vector similarities via Reciprocal Rank Fusion.

Context window attention optimizer reordering retrieved documents to place critical evidence at prompt boundaries, mitigating lost-in-the-middle degradation.

High-throughput semantic query cache and approximate deduplicator combining exact SHA-256 and cosine similarity threshold matching with LRU eviction.

Cognitive multi-tier memory kernel managing working scratchpad, sliding dialogue buffer, and episodic memories with exponential recency decay.

High-throughput semantic query cache and approximate deduplicator combining exact SHA-256 and cosine similarity threshold matching with LRU eviction.

Cognitive multi-tier memory kernel managing working scratchpad, sliding dialogue buffer, and episodic memories with exponential recency decay.

Context window attention optimizer reordering retrieved documents to place critical evidence at prompt boundaries, mitigating lost-in-the-middle degradation.

Zero-dependency hybrid retrieval engine fusing sparse lexical BM25 Okapi and dense Cosine vector similarities via Reciprocal Rank Fusion.

Entity-relation-object triplet extractor and multi-hop path reasoning kernel with Cypher and JSON-LD graph generation.

🧠 Memória semântica e relacional unificada (Go, SQLite-Vec, TurboQuant 4-bit, Grafo CTEs e MCP) para Agentes de IA

Open-source client for Novgraph, Novaya's proprietary hosted code knowledge graph. Gives coding agents recorded intent, related-code context, ranked change impact and architecture context over MCP or

Smarter AI Development Workflows

Sync Canvas courses into a local Obsidian vault — transcribed lecture notes, a cross-lecture concept graph, homework and deadlines — then study it with Claude or Gemini over MCP.

Autonomous Model Context Protocol (MCP) engine for factual consistency, version reconciliation, and conflict resolution across engineering knowledge bases.

One local-first MCP server for agent working state — clipboard history & snippets, TTL cache, file-organizer overlay, and a knowledge graph — plus a live desktop activity lens. 40 tools, SQLite everyw

Self-hosted MCP server + dashboard giving Claude Code, Cursor & Hermes agents shared long-term memory over a git-backed markdown vault. Agent-native, Obsidian-compatible second brain — markdown RAG, n

Local-first MCP memory server — Memory + CodeGraph + Wiki in one SQLite file. Tree-sitter code indexing, markdown wiki, lifecycle hooks, auto-capture. No API key, no cloud.

A map of all your repos for coding agents: one index, one card per repo, an MCP server. Works with Claude Code, Codex, Gemini CLI and Cursor.

Prevent cross-repo architectural breakage before merge. Architecture knowledge graph from static analysis, blast radius in CI, MCP server for AI agents.

MCP server — Compressed Knowledge Graph for the NVIDIA AI developer stack. 20 domains · 998 nodes · 4× F1 vs RAG · 11× fewer tokens · deterministic traversal.

Self-hosted MCP server: your codebase as a knowledge graph, your secrets in an encrypted vault — both reachable by your AI assistant, and by nobody else.

sempods reference implementation for the JVM — pod server, identity service, hosted MCP, clients

Private local memory for any AI agent: Markdown database, SQLite search, MCP, zero runtime dependencies.

Evidence-first code intelligence for AI coding agents: verified claims with evidence, honest unknowns, a name check for Python and Java (invented APIs, Mixin targets), PDF/Office documents and screens

Persistent memory and identity for AI minds, served as MCP tools on Postgres.

A token-lean MCP memory server for AI coding agents: a knowledge graph your agent can search without reading the whole thing. Drop-in replacement for the reference memory server.