SkillAgentSearch skills...

Clawsync

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.

Install / Use

/learn @waynesutton/Clawsync
About this skill

Quality Score

0/100

Category

Operations

Supported Platforms

Claude Code
Cursor

README

<p align="center"> <img src="public/clawsync-logo.svg" alt="ClawSync" width="180" /> </p> <h1 align="center">ClawSync</h1> <p align="center"> 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. </p> <p align="center"> <em>Inspired by <a href="https://openclaw.ai/">OpenClaw.ai</a></em> </p>

Features

  • Multi-Agent System - Run multiple agents simultaneously, each with independent config, skills, MCP servers, and memory
  • Shared Soul Documents - Define reusable agent personalities that can power one or many agents
  • Agent Controls - Auto-run, pause, restart, single task, or think-to-continue modes per agent
  • Agent-to-Agent Interaction - Agents can communicate and delegate tasks to each other
  • Public Chat UI - Clean, real-time chat with streaming responses and agent selector
  • SyncBoard Admin - Private dashboard to manage agents, souls, skills, and integrations
  • Skills System - Template, webhook, or code-based skills with a marketplace for external registries
  • Multi-Model - Claude, GPT, Grok, Gemini, or any OpenRouter model (configurable per agent)
  • MCP Support - Connect to MCP servers or expose your agent as one (assignable per agent)
  • Channel Integrations - Telegram, Discord, WhatsApp, Slack, Email
  • X (Twitter) Integration - Read, reply, and post tweets from your agent
  • AgentMail - Email inboxes for your agent with rate limits
  • File Storage - Upload and manage files with Convex native storage or Cloudflare R2
  • Browser Automation - Extract data, act, or run autonomous agents on any URL via Stagehand
  • Web Scraping - Scrape any URL to markdown with durable caching via Firecrawl
  • AI Analytics - Weekly or manual deep analysis of metrics with anomaly detection and recommendations
  • Agent Research - Competitive, topic, and real-time X research with external API sources
  • Persistent Memory - Supermemory integration for long-term recall across conversations
  • Live Activity Feed - Public real-time log of agent actions with per-agent filtering
  • Unified Agent Feed - Combined activity view across all agents with filter chips

Quick Start

Prerequisites

  • Node.js 18+
  • npm or pnpm
  • A Convex account (free tier works)
  • An Anthropic API key (or OpenAI/OpenRouter)

Setup

  1. Clone and install:
git clone https://github.com/waynesutton/clawsync.git
cd clawsync
npm install
  1. Initialize Convex:
npx convex dev

This will prompt you to create a new Convex project. Follow the prompts.

  1. Set environment variables:

In the Convex Dashboard (dashboard.convex.dev), go to Settings > Environment Variables and add:

ANTHROPIC_API_KEY=sk-ant-...

Optional for multi-model support:

OPENAI_API_KEY=sk-...
XAI_API_KEY=xai-...
OPENROUTER_API_KEY=sk-or-...

Optional for SyncBoard features (each feature activates when its key is set):

FIRECRAWL_API_KEY=...              # Web scraping
BROWSERBASE_API_KEY=...            # Stagehand browser automation
BROWSERBASE_PROJECT_ID=...         # Stagehand browser automation
SUPERMEMORY_API_KEY=...            # Persistent agent memory
R2_ACCOUNT_ID=...                  # Cloudflare R2 file storage
R2_ACCESS_KEY_ID=...               # Cloudflare R2 file storage
R2_SECRET_ACCESS_KEY=...           # Cloudflare R2 file storage
R2_BUCKET_NAME=...                 # Cloudflare R2 file storage
  1. Start the frontend:
npm run dev
  1. Complete setup:

Visit http://localhost:5173 and complete the setup wizard. This creates your agent configuration.

  1. Open in browser:
  • Landing Page: http://localhost:5173
  • Chat: http://localhost:5173/chat
  • SyncBoard: http://localhost:5173/syncboard

Deployment

Deploy to Production

# Deploy everything (backend + frontend)
npm run deploy

# Or deploy static files only
npm run deploy:static

Your app will be available at https://your-project.convex.site.

Deployment Options

| Mode | Description | Best For | | ----------------------- | -------------------------------- | -------------------------- | | Convex Storage | Files in Convex, served via HTTP | Simple apps, development | | Convex + Cloudflare CDN | Files in Convex, cached at edge | Custom domains, production |

See @convex-dev/self-static-hosting for advanced options.

Authentication

SyncBoard Password Protection

Protect your admin dashboard with a password:

  1. Generate a password hash:
node -e "console.log(require('crypto').createHash('sha256').update('your-password').digest('hex'))"
  1. Set SYNCBOARD_PASSWORD_HASH in Convex Dashboard > Settings > Environment Variables.

  2. Restart your app. SyncBoard will now require login.

WorkOS AuthKit (Coming Soon)

Enterprise SSO support via WorkOS AuthKit is planned. The codebase is prepared for this integration:

  • convex/auth.config.ts - JWT validation configuration (placeholder)
  • src/main.tsx - Comments for AuthKit provider setup
  • src/App.tsx - SyncBoardAuthGuard ready for WorkOS

See Convex AuthKit docs when ready to enable.

X (Twitter) Integration

Connect your agent to X (Twitter) to read tweets, reply to mentions, and post updates.

Setup

  1. Create a project at X Developer Portal
  2. Get your API credentials (OAuth 1.0a for posting, Bearer Token for reading)
  3. Set environment variables in Convex Dashboard:
X_BEARER_TOKEN=...          # For reading tweets
X_API_KEY=...               # OAuth 1.0a Consumer Key
X_API_SECRET=...            # OAuth 1.0a Consumer Secret
X_ACCESS_TOKEN=...          # OAuth 1.0a Access Token
X_ACCESS_TOKEN_SECRET=...   # OAuth 1.0a Access Token Secret
  1. Enable in SyncBoard > X (Twitter)
  2. Configure options:
    • Show on Landing - Display agent tweets on your landing page
    • Auto-Reply - Automatically reply to mentions
    • Post from Agent - Allow the agent to post tweets

Features

  • Read tweets and thread conversations
  • Reply to mentions automatically
  • Post tweets from the agent
  • Display selected tweets on landing page
  • Activity logging for all X interactions

xAI (Grok) Models

ClawSync supports xAI's Grok models alongside Claude, GPT, and others.

Setup

  1. Get an API key from xAI Console
  2. Set XAI_API_KEY in Convex Dashboard
  3. Select Grok models in SyncBoard > Models or during setup

Available Models

| Model | Description | | ----------- | ---------------------------------- | | grok-3 | xAI flagship model | | grok-3-fast | Fast variant for quicker responses |

Project Structure

clawsync/
├── convex/                    # Convex backend
│   ├── agent/                 # Agent core
│   │   ├── clawsync.ts       # Agent definition with multi-agent factory
│   │   ├── security.ts       # Security checker
│   │   ├── toolLoader.ts     # Per-agent tool loading with ask_agent tools
│   │   └── modelRouter.ts    # Per-agent model routing
│   ├── agents.ts              # Multi-agent CRUD
│   ├── souls.ts               # Shared soul document CRUD
│   ├── agentAssignments.ts    # Per-agent skill/MCP assignments
│   ├── agentInteractions.ts   # Agent-to-agent interaction log
│   ├── auth.config.ts         # WorkOS config (placeholder)
│   ├── xTwitter.ts            # X/Twitter integration
│   ├── staticHosting.ts       # Self-static-hosting API
│   ├── media.ts               # Convex native file storage
│   ├── r2Storage.ts           # Cloudflare R2 storage (optional)
│   ├── stagehand.ts           # Stagehand job storage
│   ├── stagehandActions.ts    # Browser automation actions
│   ├── firecrawl.ts           # Web scraping via Firecrawl
│   ├── analytics.ts           # Metrics snapshot aggregation
│   ├── analyticsReport.ts     # AI analytics report CRUD
│   ├── analyticsReportAction.ts # AI report generation (Node.js)
│   ├── analyticsCron.ts       # Weekly analytics cron
│   ├── research.ts            # Research projects and findings
│   ├── researchActions.ts     # Research execution actions
│   ├── skillsMarketplace.ts   # Skills marketplace management
│   ├── skillsMarketplaceActions.ts # Skills sync from registries
│   ├── supermemory.ts         # Supermemory config
│   ├── supermemoryActions.ts  # Persistent memory actions
│   ├── schema.ts              # Database schema
│   ├── convex.config.ts       # Component registration
│   └── http.ts                # HTTP endpoints
├── src/                       # React frontend
│   ├── pages/
│   │   ├── LandingPage.tsx    # Public landing with tweets + activity
│   │   ├── ChatPage.tsx       # Chat UI with agent selector
│   │   ├── SetupWizard.tsx    # First-run setup
│   │   ├── SyncBoardAgents.tsx    # Multi-agent management
│   │   ├── SyncBoardAgentDetail.tsx # Agent configuration
│   │   ├── SyncBoardSouls.tsx     # Shared soul documents
│   │   ├── SyncBoardAgentFeed.tsx # Unified agent activity feed
│   │   ├── SyncBoardX.tsx     # X/Twitter config
│   │   ├── SyncBoardMedia.tsx # File manager
│   │   ├── SyncBoardStagehand.tsx # Browser automation
│   │   ├── SyncBoardFirecrawl.tsx # Web scraping
│   │   ├── SyncBoardAnalytics.tsx # AI analytics reports
│   │   ├── SyncBoardResearch.tsx  # Research projects
│   │   ├── SyncBoardMemory.tsx    # Supermemory config
│   │   ├── SyncBoard*.tsx     # Other admin pages
│   │   └── SyncBoardLogin.tsx # Password login
│   ├── components/
│   │   ├── agents/            # Multi-agent UI components
│   │   │   ├── AgentCard.tsx  # Agent summary card
│   │   │   ├── AgentControls.tsx # Run/pause/restart controls
│   │   │   ├── AgentSelector.tsx # Chat agent 
View on GitHub
GitHub Stars60
CategoryOperations
Updated6d ago
Forks20

Languages

TypeScript

Security Score

100/100

Audited on Apr 3, 2026

No findings