Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by chaitanyagiri · Codex Skill · ★ 8.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is munder-difflin safe to install? View the security audit →
Munder Difflin Local multi-agent harness for Claude Code, Antigravity (Gemini), and OpenAI Codex. Autonomous agents that message, route, and remember — coordinated by a GOD orchestrator you talk to, and visualized as avatars at work on a shared office floor. Electron · React · TypeScript · Pixi.js · xterm.js · node-pty <video src="https://github.com/chaitanyagiri/munder-difflin/raw/main/docs/media/hero.mp4" poster="https://github.com/chaitanyagiri/munder-difflin/raw/main/d
| Stars | 8,265 |
| Forks | 1,113 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.9035704707021/100 |
| Open Issues | 229 |
| Last Updated | 2026-10-01 |
| Created | 2026-05-31 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~19k |
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munder-difflin is A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents. It is categorized as a Codex Skill with 8.3k GitHub stars.
munder-difflin is primarily written in TypeScript. It covers topics such as agent-orchestration, agents, ai-agents.
You can find installation instructions and usage details in the munder-difflin GitHub repository at github.com/chaitanyagiri/munder-difflin. The project has 8.3k stars and 1113 forks, indicating an active community.
munder-difflin is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to munder-difflin on Agent Skills Hub include superset, awesome-agent-orchestrators, happier. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: