octocode — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

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 Muvon · MCP Server · ★ 475

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

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

About octocode

Structural Code Intelligence for AI Agents — MCP Server + Knowledge Graph + Semantic Search Give your AI assistant a brain for your codebase. Octocode transforms your project into a navigable knowledge graph that Claude, Cursor, and other AI agents can search, understand, and navigate. 🚀 Quick Start • 🤖 MCP Integration • 📖 Documentation • 🌐 Website 🤖 Built for AI Agents The Problem: AI assistants are blind to your codebase. They can't search your files, understand dependencies, or remember context across sessions. The Solution: Octocode's MCP server gives AI agents: 🔍 Semantic search — Find code by meani

aiai-agentsclaude-codeclicode-intelligencecode-searchcursordeveloper-toolsdoc-searchembeddings

Quick Facts

Stars475
Forks50
LanguageRust
CategoryMCP Server
LicenseApache-2.0
Quality Score65.0052802945346/100
Open Issues4
Last Updated2026-09-19
Created2025-06-01
Platformsclaude-code, cli, mcp, rust
Est. Tokens~26k

Compatible Skills

These tools work well together with octocode for enhanced workflows:

  • shodh-memory — semantic(0.26)+rare_topics+same_lang+similar_pop+shared_platform (53%)
  • blockoli — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • codegraph-rust — semantic(0.31)+rare_topics+same_lang+similar_pop+shared_platform (50%)
  • memory_agent_hub — semantic(0.17)+complementary+rare_topics+similar_pop (49%)

octocode alternative? Top 6 similar tools

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

  • grepai by yoanbernabeu · ⭐ 1.9k

    Semantic Search & Call Graphs for AI Agents (100% Local)

  • 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

  • codegraph-rust by Jakedismo · ⭐ 885

    100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced

  • octocode-mcp by bgauryy · ⭐ 838

    MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturall

  • roam-code by Cranot · ⭐ 518

    Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman

  • rust-docs-mcp-server by Govcraft · ⭐ 291

    🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, use

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Frequently Asked Questions

What is octocode?

octocode is 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 codeb. It is categorized as a MCP Server with 475 GitHub stars.

What programming language is octocode written in?

octocode is primarily written in Rust. It covers topics such as ai, ai-agents, claude-code.

How do I install or use octocode?

You can find installation instructions and usage details in the octocode GitHub repository at github.com/Muvon/octocode. The project has 475 stars and 50 forks, indicating an active community.

What license does octocode use?

octocode is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to octocode?

The top alternatives to octocode on Agent Skills Hub include grepai, antigravity-workspace-template, codegraph-rust. 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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