graphmind — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 aouicher · MCP Server · ★ 207

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

🔒 Is graphmind safe to install? View the security audit →

About graphmind

graphmind Your codebase has a shape. Now your AI can see it. And remember it. GraphMind turns your codebase into a knowledge graph your AI can query, navigate, and remember. Ask about dead code, dependencies, or blast radius — and get answers grounded in your actual architecture. Up to 5,700× fewer tokens than raw search (10M tokens saved per session). Works with Claude Code, Cursor, Windsurf, Cline, Zed, Continue, and any MCP-compatible AI assistant. CLI + Claude MCP integration Desktop app — Mac & Windows Why GraphMind Every new AI session starts from zero. Your assistant re-reads the entire codebase, re-discovers architecture, and forgets every decision you explained last time. Across multiple projects, there's zero visibility into shared dependencies. graphmind fixes this with four layers: Structural graph — function-level knowledge graph per repo (AST-based, tree-sitter, 30+ languages) Semantic embeddings —

aiai-agentai-assistantchatgptclaudeclaude-codecode-intelligencecursorembeddingsgraph

Quick Facts

Stars207
Forks16
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score70.3804511728309/100
Open Issues12
Last Updated2026-09-02
Created2026-04-17
Platformsclaude-code, mcp, rust
Est. Tokens~28k

Compatible Skills

These tools work well together with graphmind for enhanced workflows:

  • semble_rs — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)

graphmind alternative? Top 6 similar tools

Looking for a graphmind alternative? If you're comparing graphmind 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.

  • octocode by Muvon · ⭐ 477

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

  • omega-memory by omega-memory · ⭐ 219

    Persistent memory for AI coding agents

  • mychatarchive by 1ch1n · ⭐ 65

    Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and sea

  • soulforge by proxysoul · ⭐ 867

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  • Overture by SixHq · ⭐ 641

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  • agnix by agent-sh · ⭐ 430

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Frequently Asked Questions

What is graphmind?

graphmind is Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.. It is categorized as a MCP Server with 207 GitHub stars.

What programming language is graphmind written in?

graphmind is primarily written in Rust. It covers topics such as ai, ai-agent, ai-assistant.

How do I install or use graphmind?

You can find installation instructions and usage details in the graphmind GitHub repository at github.com/aouicher/graphmind. The project has 207 stars and 16 forks, indicating an active community.

What license does graphmind use?

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

What are the best alternatives to graphmind?

The top alternatives to graphmind on Agent Skills Hub include octocode, omega-memory, mychatarchive. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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