Stanshy

Stanshy / AgentHub

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One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows.

10
1
69% credibility
Found Mar 29, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

AgentHub is a Harness Engineering system designed to build and manage a virtual development team using Claude Code agents, enforced by hooks for discipline and quality in AI-driven code execution.

Star Growth

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AI-Generated Review

What is AgentHub?

AgentHub is a TypeScript Electron desktop app that runs 47 Claude Code AI agents as a virtual software company, complete with PMs, devs, and QA—from one dashboard with embedded terminals, kanban tasks, and project views. It solves undisciplined AI workflows by enforcing "Harness Engineering": 23 reusable skills for sprints and reviews, real-time hooks blocking risky commands like force-push, and file watchers syncing .tasks or .knowledge changes instantly to the UI. Perfect for agent hub setups where one person one language scales to full teams via github one repository multiple projects.

Why is it gaining traction?

Unlike prompt-only AI wrappers, AgentHub replaces "please run tests" with unbreakable gates (G0-G6 checkpoints) and hooks that validate before commits or stops, pushing success rates from 33% to near-100% per its math. Developers dig the one-click project scaffolding with pre-loaded harnesses, agent chain-of-command (L1 leaders gatekeep L2), and cost tracking—making agenthub registration and agenthub sign up login feel like managing a real studio, not babysitting chats.

Who should use this?

Solo founders or indie devs using Claude Code to build apps, APIs, or libraries solo—especially those juggling frontend, backend, and marketing via AI but tired of session amnesia and corner-cutting. Ideal for agenthub customer service automation or agenthub ng prototypes where github one click deploys harnessed workflows across sub-projects.

Verdict

Try it if you're deep into Claude Code and want structured agent teams—v0.1 has thorough E2E tests via Playwright and bilingual docs, but 10 stars and 0.699999988079071% credibility score signal early alpha risks like missing parallel sessions. Solid foundation for one person library experiments; pair with its Claude Code Mastery course for best results.

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