Kwipu — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by benmaster82 · MCP Server · ★ 266

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About Kwipu

Kwipu 中文文档 A local Graph RAG system that turns your markdown notes into a queryable knowledge graph. Ask questions in natural language and get answers that connect information across multiple files. Built for Obsidian vaults but works with any folder of markdown files. What's New MCP Server - use Kwipu as a tool inside Claude Desktop, Cursor, Windsurf, or any MCP-compatible agent. All processing runs locally via Ollama. Incremental updates - editing a note no longer rebuilds the entire graph. Modified files are updated in-place in seconds. CLI model override - switch LLM or embedding model without editing code: , Startup validation - checks that Ollama is running and models are available before starting. Clear erro

claude-codeembeddingsgraph-raghelp-wantedknowledge-graphllama-indexllmmarkdownmcpmd

Quick Facts

Stars266
Forks39
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score69.0321251122647/100
Open Issues1
Last Updated2026-05-18
Created2026-04-21
Platformsclaude-code, mcp, python
Est. Tokens~28k

Compatible Skills

These tools work well together with Kwipu for enhanced workflows:

  • llm-wiki-template — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • claude-code-memory-setup — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • graph-memory — semantic(0.17)+complementary+shared_fw(ollama)+similar_pop+shared_platform (54%)
  • claude-vault — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

Kwipu alternative? Top 6 similar tools

Looking for a Kwipu alternative? If you're comparing Kwipu with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • antigravity-workspace-template by study8677 · ⭐ 1.3k

    Give Claude Code, Cursor, Codex CLI a ChatGPT for your codebase. Multi-agent knowledge engine, grounded Q&A wi

  • Awareness-Local by edwin-hao-ai · ⭐ 216

    Local-first AI agent memory — one command, works offline, no account needed. Give your Claude Code, Cursor, Wi

  • zettelkasten-mcp by entanglr · ⭐ 162

    A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allow

  • cognithor by Alex8791-cyber · ⭐ 153

    Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP to

  • gno by gmickel · ⭐ 105

    Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST AP

  • nocturne_memory by Dataojitori · ⭐ 1.3k

    A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and

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Frequently Asked Questions

What is Kwipu?

Kwipu is Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAM. It is categorized as a MCP Server with 266 GitHub stars.

What programming language is Kwipu written in?

Kwipu is primarily written in Python. It covers topics such as claude-code, embeddings, graph-rag.

How do I install or use Kwipu?

You can find installation instructions and usage details in the Kwipu GitHub repository at github.com/benmaster82/Kwipu. The project has 266 stars and 39 forks, indicating an active community.

What license does Kwipu use?

Kwipu is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Kwipu?

The top alternatives to Kwipu on Agent Skills Hub include antigravity-workspace-template, Awareness-Local, zettelkasten-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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