kody — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

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 kentcdodds · MCP Server · ★ 662

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

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

About kody

Your assistant's home — the memory, keys, code, and automations your AI agent keeps, portable across every MCP host. Built on Cloudflare Workers. Kody is your assistant's home—the memory, keys, code, and automations your AI agent keeps, portable across every MCP host. Built on Cloudflare Workers and the Model Context Protocol (MCP), it ships a Remix UI, Worker-based request routing, package runtime plumbing, and OAuth-protected MCP endpoints. The project favors a compact MCP surface with powerful and Code Mode flows over a large static

agentsai-assistantcloudflare-workerscode-modemcppersonal-assistant

Quick Facts

Stars662
Forks65
LanguageTypeScript
CategoryMCP Server
Quality Score62.4904431562059/100
Open Issues26
Last Updated2026-09-22
Created2026-03-18
Platformsmcp, node
Est. Tokens~15k

Compatible Skills

These tools work well together with kody for enhanced workflows:

  • agentteam-email — semantic(0.28)+complementary+shared_fw(cloudflare)+same_lang+similar_pop+shared_platform (68%)
  • ai-coding-primer — semantic(0.26)+complementary+shared_fw(cloudflare)+same_lang+similar_pop+shared_platform (67%)
  • saas-starter — semantic(0.22)+complementary+shared_fw(cloudflare)+same_lang+similar_pop+shared_platform (66%)

kody alternative? Top 6 similar tools

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

  • py-gpt by szczyglis-dev · ⭐ 1.9k

    Desktop AI Assistant powered by GPT-6, GPT-5, Gemini, Claude, Ollama, Grok, DeepSeek, Perplexity, Bielik, chat

  • agentor by CelestoAI · ⭐ 191

    Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools an

  • NagaAgent by RTGS2017 · ⭐ 1.5k

    A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, mul

  • npcpy by NPC-Worldwide · ⭐ 1.5k

    The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and mor

  • awesome-hacking-lists by taielab · ⭐ 1.4k

    A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains.

  • apple-docs-mcp by kimsungwhee · ⭐ 1.4k

    MCP server for Apple Developer Documentation - Search iOS/macOS/SwiftUI/UIKit docs, WWDC videos, Swift/Objecti

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Frequently Asked Questions

What is kody?

kody is 🐨 Your assistant's home — the memory, keys, code, and automations your AI agent keeps, portable across every MCP host. Built on Cloudflare Workers.. It is categorized as a MCP Server with 662 GitHub stars.

What programming language is kody written in?

kody is primarily written in TypeScript. It covers topics such as agents, ai-assistant, cloudflare-workers.

How do I install or use kody?

You can find installation instructions and usage details in the kody GitHub repository at github.com/kentcdodds/kody. The project has 662 stars and 65 forks, indicating an active community.

What are the best alternatives to kody?

The top alternatives to kody on Agent Skills Hub include py-gpt, agentor, NagaAgent. 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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