waynesutton

waynesutton / clawsync

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ClawSync, OpenClaw for the cloud. Deploy an open source personal AI agent with chat UI, skills system, MCP support, and multi-model routing. Built on Convex.

clawsync.dev ai ai-agents convex openclaw real-time
51
20
100% credibility
Found Feb 08, 2026 at 15 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ClawSync is an open-source platform for building and deploying personal AI agents with real-time chat interfaces, customizable skills, multi-model support, and integrations for channels like Twitter, email, and messaging apps.

How It Works

1
🔍 Discover ClawSync

You find this open-source AI agent platform on GitHub and visit the landing page to see it in action.

2
🚀 Set up your agent

Follow the simple guide to get your personal AI agent running on your computer in minutes.

3
✨ Personalize it

Use the setup wizard to name your agent, give it a unique personality with a soul document, and pick its thinking brain from popular AI options.

4
💬 Start chatting

Open the chat page and talk to your agent – it responds in real-time with streaming messages and shows a live activity feed.

5
Add superpowers
📋
Template skills

Pick ready-made abilities like math tools or knowledge search without any setup.

🔗
Webhook skills

Link to your own services so the agent can fetch data or take actions for you.

6
📊 Manage everything

Log into the private SyncBoard dashboard to approve skills, tweak settings, view activity logs, and monitor usage.

🎉 Your agent lives!

Your customizable AI agent chats with visitors, handles messages across channels, posts on social media, and grows with new abilities you add.

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Star Growth

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AI-Generated Review

What is clawsync?

ClawSync deploys OpenClaw as a cloud-based personal AI agent with a public chat UI and private admin dashboard called SyncBoard. Built on Convex in TypeScript, it handles multi-model routing across Claude, GPT, Grok, and OpenRouter, plus a skills system for template, webhook, or code-based tools. Users get one-command deploys to a shareable URL, solving self-hosting pains for custom AI agents.

Why is it gaining traction?

It stands out with MCP support for seamless tool chaining, channel integrations like Telegram and Twitter, and no-code skills from a marketplace. Deploy to production via `npm run deploy`, manage files with R2 or Convex storage, and get AI analytics reports weekly. Devs love the real-time activity feed and persistent memory via Supermemory without wiring up backends.

Who should use this?

Solo devs building landing-page chat agents or Twitter bots that auto-reply and post. Indie makers needing quick MCP experimentation with browser scraping or webhooks. Convex fans wanting a deployable personal agent for client demos or side projects.

Verdict

Grab it if Convex is your stack—deploy a capable agent in minutes with solid chat and skills support. At 23 stars and 1.0% credibility, it's a raw prototype; fork and harden for real use.

(187 words)

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