heypinchy

heypinchy / pinchy

Public

Self-hosted AI agent platform built on OpenClaw. Enterprise-ready, offline-capable, open source. 🦞

heypinchy.com
50
4
100% credibility
Found Feb 21, 2026 at 20 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Pinchy is a self-hosted open-source platform that builds enterprise features like user permissions and audit logs on top of the OpenClaw AI agent framework.

How It Works

1
📰 Discover Pinchy

You hear about a safe way to run smart AI helpers privately on your own computer, perfect for teams who want control over their data.

2
🚀 Get it running

Download the ready-to-use package and start it up easily on your machine.

3
👤 Set up your account

Follow the simple welcome guide to create your personal login and get everything ready in moments.

4
🔌 Connect an AI service

Link a smart thinking service like Claude so your helpers can understand and respond.

5
💬 Chat with your assistant

Talk to Smithers, your friendly personal helper, and see it answer questions right away.

6
👥 Grow your team

Invite coworkers, create shared helpers for files or tasks, and set who can use what.

🛡️ Private AI for your team

Now your group has secure, logged AI agents that work offline on your server, keeping everything private and compliant.

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AI-Generated Review

What is pinchy?

Pinchy is a self-hosted AI agent platform built on OpenClaw, letting teams run autonomous agents offline with full data control. Deploy via Docker Compose for instant setup—PostgreSQL backend, Next.js frontend, TypeScript everywhere—and get real-time chat UIs, agent configuration, and scoped tools without cloud lock-in. It solves enterprise pain like missing RBAC, audit logs, and governance in raw agent frameworks.

Why is it gaining traction?

Unlike cloud tools that leak data or visual builders lacking true autonomy, Pinchy adds user management, role-based permissions, and plugin-scoped access (e.g., Jira tickets over shell exec) on a battle-tested open runtime. Devs love the one-command deploy matching self hosted agent azure devops docker workflows, plus model-agnostic support for OpenAI, Anthropic, or Ollama. Early adopters from pinch berlin praise its offline edge for regulated setups.

Who should use this?

DevOps engineers building self hosted agent pools for azure devops yaml pipelines or self hosted github actions alternatives. Security-focused teams in finance/healthcare needing self hosted agent ai without vendor risks, or solo devs wanting a self hosted github codespaces-like env for agent experiments. Skip if you need polished multi-user today.

Verdict

Promising for self-hosted agent windows/devops fans, but at 16 stars and 1.0% credibility, it's alpha—core chat/auth works, docs solid, tests present, enterprise bits incoming. Prototype now if privacy trumps polish; watch for v1.0.

(187 words)

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