gentle-ai — 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 Gentleman-Programming · MCP Server · ★ 7.0k

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

🔒 Is gentle-ai safe to install? View the security audit →

About gentle-ai

Gentle-AI™ Turn the AI coding agent you already use into a configured engineering environment. Website &bull; Wiki &bull; Engram <!-- sealedtoken is a GitHub fine-grained token encrypted against Star History's public key, so only the encrypted value is published here. It is required because GitHub restricted the stargazers API to a repository's admins and collaborators o

agent-skillsai-agentsai-codingclaude-codecode-reviewcodexcoding-agentscopilotcursordeveloper-tools

Quick Facts

Stars7,044
Forks770
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score68.8351716480433/100
Open Issues982
Last Updated2026-09-20
Created2026-02-27
Platformsclaude-code, codex, go, mcp
Est. Tokens~26k

Compatible Skills

These tools work well together with gentle-ai for enhanced workflows:

  • moai-adk — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (62%)
  • cc-skills-golang — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • kandev — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • oc-go-cc — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • quint-code — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

gentle-ai alternative? Top 6 similar tools

Looking for a gentle-ai alternative? If you're comparing gentle-ai 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.

  • pilot-shell by maxritter · ⭐ 2.1k

    Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software

  • ai-devkit by codeaholicguy · ⭐ 1.6k

    The control plane for AI coding agents.

  • superset by superset-sh · ⭐ 14.4k

    Superset is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscrip

  • agent-of-empires by njbrake · ⭐ 2.4k

    Manage multiple Claude Code, OpenCode agents from either TUI or Web for easy access on mobile. Also supports M

  • 9router by decolua · ⭐ 29.2k

    Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/G

  • paseo by getpaseo · ⭐ 17.6k

    Orchestrate multiple coding agents from desktop and mobile

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Frequently Asked Questions

What is gentle-ai?

gentle-ai is Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent memory, Organic-Driven Development, curated skills, MCP servers, person. It is categorized as a MCP Server with 7.0k GitHub stars.

What programming language is gentle-ai written in?

gentle-ai is primarily written in Go. It covers topics such as agent-skills, ai-agents, ai-coding.

How do I install or use gentle-ai?

You can find installation instructions and usage details in the gentle-ai GitHub repository at github.com/Gentleman-Programming/gentle-ai. The project has 7.0k stars and 770 forks, indicating an active community.

What license does gentle-ai use?

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

What are the best alternatives to gentle-ai?

The top alternatives to gentle-ai on Agent Skills Hub include pilot-shell, ai-devkit, superset. 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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