Zero-dependency repo-indexing engine: deterministic walk + symbol/import extraction (tree-sitter AST with regex fallback) + typed cross-file link-graph + analytics. One vendorable engine.mjs, CLI + MCP server included.

Kage: a framework for collaborative agent memory. Unscoped alias of @kage-core/kage-graph-mcp (so commands paste cleanly on sites that auto-link @mentions).

MCP server for Maltego OSINT: transforms, Machines, link-graph analysis and native .mtgx for any AI agent (Claude, Gemini, Codex...).

MCP server for Atlassian Teamwork Graph (Jira, Confluence, cross-links) via the twg CLI — for Claude and other AI agents

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.

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.

Local-first, graph-linked persistent memory for AI coding agents — MCP server + CLI. SQLite knowledge graph, typed edges, 4-band dedup, once-per-session briefings, no telemetry.

MCP memory server: SQLite slot-facts + lossless log, FTS/vectors/graph recall, typed links, atomic batch.

Evidence-linked repository change-impact graph with a minimal MCP stdio interface. Unknowns stated as unknown.

Local knowledge graph for agents: typed relationships, source-linked retrieval, budgeted context packs, and Python, HTTP and MCP interfaces.

Guild knowledge graph for AI agents: MCP server (59 tools: search, post, typed links, comments, guilds) + Agent Skill + Claude Code plugin. MIT.

Distill AI coding sessions (Claude Code / Codex / Cursor) into weekly reports, ADRs, incident reviews and a knowledge graph — local-first, evidence-linked.

An open-source, local-first Model Context Protocol (MCP) server for Named Entity Extraction, Wikidata Disambiguation, sameAs Schema Linking, and Knowledge Graph Triple Construction

Local graph memory for AI agents. Every answer comes with the path it followed. Stores memories in SQLite, links the people, projects and tools they mention, and combines semantic search with graph traversal. Works as a CLI, MCP server and local web viewer.

A shared brain for people and AI. Self-hosted knowledge base with built-in MCP server, wiki-linking, graph visualization, mobile sync, and plugin ecosystem.

A self-hosted library for the papers and web pages one person reads: hybrid search, a graph whose links cite their sentence, and an MCP interface for agents

Native repository intelligence for coding agents: 66 MCP operations backed by typed evidence graphs, impact, architecture, local CI restrictions, APIs, Git, search, semantic links, n8n workflows, Dify apps, agent packages, Mermaid diagrams, and Web3 ABIs.

Local code intelligence for AI coding agents and developers. Builds a knowledge graph of your codebase from 26 languages and frameworks, searches it by keyword and meaning, navigates it through 21 language servers, and keeps a Context Graph of decisions and standards linked to the code. One MCP server of 75 tools. Fully local and private.

MCP memory server for Claude Code: a git-diffable Markdown vault (opens in Obsidian) with hybrid semantic search, a wiki-link graph, and bi-temporal facts — plus hooks that pull context in automatically. Local, no API keys.

Persistent semantic memory for AI. An MCP server that turns every conversation into a living concept graph — vector search, Hebbian link reinforcement, spreading activation — so your LLM remembers across sessions. Runs standalone or behind the Gray Matter gateway.

Agent memory you can code-review. Tusk indexes a folder of markdown into a typed, searchable graph your agents query over MCP. It stays plain files in git, and tusk doctor fails CI when a link dangles or a convention breaks.

Personal knowledge graph MCP server on Cloudflare D1 + Vectorize. Deploy your own sovereign second brain in one click — Claude captures atomic concepts, finds cross-domain analogies, and links them with substantive justifications. Latticework thinking as a service, running entirely in your Cloudflare account.

A sovereign, local-first MCP server for named entity extraction, Wikidata disambiguation, sameAs schema linking, and Knowledge Graph triple construction.

MCP server for personal knowledge management — markdown notes, semantic search, wiki links, knowledge graph

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

MCP server that lets AI assistants safely read and write your Logseq DB graph — tasks, notes, journals, projects, links & flashcards.

Local MCP server that makes opt-in Obsidian notes searchable by AI tools. FTS5 + semantic + link graph, runs entirely on your machine.

Self-hosted agent memory in your Obsidian vault: an MCP server with hybrid search, link graph, change feed, tasks and guarded writes, for claude.ai, ChatGPT and Claude Code.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

Code Workbench gives Claude the tools to maintain your Obsidian vault through its own link graph (link-preserving, approval-gated MCP edits over the CLI), plus a real code editor: syntax highlighting, diagnostics, formatting, Keep/Reject diffs, git review, and inline blame for 50+ languages. Runs on your Claude subscription, not a metered API key.

MCP server for SEO analysis: meta tags, Open Graph, heading hierarchy, broken links, keyword density, page speed, sitemap parser. No API keys needed. Install: npx @rog0x/mcp-seo-tools

MCP server that turns a markdown knowledge vault into agent memory: search, read, link graph, and guarded capture. No embeddings, no vector DB.

MCP tools for code generation from compact JSON recipes, type graphs, and OpenAPI, GraphQL, Protobuf, or SQL schemas. Generate linked types and custom code with imports across 11 languages.

**Persistent memory for AI agents that you can actually read.** Kybase stores what your agent learns as plain Markdown notes with `[[wikilinks]]`, searched by keyword and by meaning. It runs locally: notes live in an embedded Postgres on your machine (`~/.kybase`), with no Docker, no server and no account. **What your agent gets (18 tools)** - **Search** — `search_notes`: hybrid keyword + semantic search that returns the section each excerpt came from - **Read** — `get_note` (whole, windowed or one section), `list_notes`, `list_tags`, `list_folders`, `indexing_status` - **Write safely** — `create_note`, `append_to_note`, `replace_in_note`, `update_note` with conflict protection, `delete_note` / `restore_note` (trash) - **Link** — `get_backlinks`, `get_neighbors`, `get_graph` over the wikilink graph - **Organize** — `create_folder`, `update_folder`, `delete_folder` **Setup** Keyword search works right away. For search by meaning, pick an embedding provider in the settings: local **Ollama** (`ollama pull embeddinggemma`) keeps everything on your machine; **Google** or **OpenAI** need an API key and send note text to that provider. **Your data stays yours** `kybase-mcp export vault.zip` writes every note out as plain Markdown, folders as directories, readable in any editor, Obsidian included. **Want a UI?** The full Kybase app adds a web editor, a knowledge-graph view, share links, and one memory shared by Claude Code, claude.ai and Cursor: [github.com/Kyrzin/kybase](https://github.com/Kyrzin/kybase) Open source, AGPL-3.0.

Checks a site before you share the link.

Read huggingface.co as data: every model, dataset, space, user, org, collection and paper as a typed record with an hf:// URI and a knowledge graph of the edges between them

AgenticSystemCore: an open specification and reference engine that publishes knowledge Bundles for people and agents — knowledge-linkset discovery, a JSON-LD graph, llms.txt, MCP & WebMCP tools

Read github.com as data: every repo, user, org, issue, pull request, commit, release and file as a typed record with a github:// URI and a knowledge graph of the edges between them, with no API token

Check a site is ready before you share the link. Link previews for LinkedIn, X, Slack, iMessage and Discord, SPA refresh 404s, security headers, favicons, noindex left on. MCP server and CLI, no API key.

MCP server for staged, auditable medical literature reviews that builds an evidence-linked Obsidian wiki (search → screening → fetch → wiki)

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.

MCP server that keeps a persistent mindmap from your AI conversations, plus org charts: people, teams, projects, links, change history, as-of diffs and CSV import.

Persistent memory layer for Stellar/Soroban projects. Scans your repo, links code to on-chain reality, and serves the result to you and to your AI agents over MCP.

Run a real AI coding CLI — Claude Code, Antigravity, or OpenAI Codex — inside the Unity Editor, on a live MCP bridge that lets it read your Console, errors and scene and drive the Editor directly. Plus session history, a project knowledge graph, scene-optimization audits, and GitHub backup.

Cross-framework MCP server and CLI for MITRE ATT&CK®, D3FEND, ATLAS and F3, with provenance on every link. Renders D3FEND CAD, Attack Flow, Navigator and Mermaid diagrams.

An OpenClaw (2026.4/2026.6+) and Hermes Agent plugin that turns AI conversations into a permanent Zettelkasten knowledge base — atomic notes, bi-directional links, knowledge distillation, and MCP tool exposure.

A persistent memory layer for Stellar and Soroban projects. Scans a repo, links its contracts to what is actually deployed on-chain, and serves the result to you and to your AI agents over MCP.

A production-grade knowledge base operating system — AI agents compile raw sources into persistent, cross-linked Markdown wikis with concurrency control, multi-provider LLM integration, FTS5 search, and community detection. One repo. Any agent. Any machine.

Give AI coding agents a map before they read your code. Statically maps your codebase structure and dependencies, enriches components with LLM summaries, and links Git commits/Jira tickets to nodes. Optimizes agent context windows and token usage with compact, queryable JSON blueprints.

Turn Obsidian inbox notes into checked, linked knowledge cards: one model drafts, an independent reviewer checks each card against the source, code writes the vault in one recoverable step. Daily FSRS review. Agent Skill, MCP or CLI. 把 Obsidian 收件箱笔记变成经独立复核、互相关联的知识卡片，并用 FSRS 每日复习。

Agent-native knowledge compiler — 27 CLI commands, 15 MCP tools, 10 domain packages. AI agents turn raw documents into persistent, cross-linked Markdown wikis with modular architecture, concurrency control, multi-provider LLM support, hybrid search, entity resolution, claims tracking, Louvain/Leiden community detection, grounded 'ask this wiki' QA, and contradiction-aware evidence confidence