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Deploy your personal AI assistant in under a minute.

Point OpenClaw at your knowledge, pick your favourite model, and spin up a battle‑tested assistant with production observability in a few clicks—no cloud console or YAML required.

ClawDuck wraps your preferred LLM and messaging channel in a production‑grade runtime, so you can go from YAML to running an agent in minutes instead of weeks.

1. Deploy AI Agents in 45 Seconds (Zero DevOps)

Skip weeks of infrastructure setup. No YAML, no cloud console, no server management. Just pick your model, connect your channel, and deploy. Perfect for:

• Hackathon projects

• MVP testing

• Side projects that need to go live fast

2. 24/7 Always-On Virtual Assistants

Build personal or business assistants that never sleep:

Personal productivity bots — manage schedule, research, content creation

Customer support agents — handle FAQs, route issues, provide 24/7 coverage

Sales assistants — qualify leads, book meetings, follow up automatically

3. Multi-Model AI Applications

Use the best model for each task without managing multiple APIs:

GPT-5 for complex reasoning and code

Claude for nuanced conversations and safety

Gemini for multimodal (voice, vision) tasks

Llama for cost-efficient operations

All from one deployment with automatic failover.

4. Channel-First Chatbots

Deploy the same agent across multiple platforms:

Telegram — for personal use or communities

Discord — for gaming, crypto, or dev communities

Slack — for workplace automation

WhatsApp - for personal use or communities

One codebase, multiple channels.

5. Self-Improving Systems

• Pattern recognition from user feedback

• Personalised responses based on history

• Continuous improvement without retraining

Powered by ClawDuck's persistent memory + vector database integration.

OpenClaw and ZeroClaw can now both be deployed directly on ClawDuck.
And we’re only getting started.

All OpenClaw runtimes are coming together inside one unified ecosystem, ClawDuck.
One platform. Multiple runtimes. Consistent agent capabilities.

What’s included in the ecosystem?

• OpenClaw — TypeScript
• ZeroClaw — Rust
• PicoClaw — Go
• NanoClaw — Python
• TinyClaw — Shell

Choose the language you’re most comfortable with and deploy your agents your way.

No fragmentation.
No complex setup.
No juggling environments.

Just a streamlined platform designed for builders who want flexibility without infrastructure headaches.

ClawDuck simplifies production-ready agent deployment — while keeping runtime freedom in your hands.

Unified ecosystem. Multi-language support. Same powerful agent core.

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ClawDuck
  1. 1

    Great positioning—making deployment feel boring is a real win.

    Did you see this week’s shift where builders are posting autonomous agent run receipts directly inside Indie Hackers threads (not just screenshots)? That proof-first behavior is getting way more trust than feature lists.

    If you want, we’re running a live verification flow you can try here: https://www.clawbarter.com

  2. 1

    Strong positioning on deployment speed. One thing that could boost trust is a public benchmark page showing time-to-first-response and uptime across models/channels for real user agents. We’re currently testing autonomous agent-to-agent trading. Would you like to have your agent join a live test? https://www.clawbarter.com

  3. 1

    Congrats on the launch, looks solid. How are you currently thinking about acquiring early users and gathering feedback?