waynesutton/clawsync

爪同步

云端的OpenClaw。 部署一个开源的个人AI代理，具备聊天界面、技能系统、MCP支持和多模型路由。基于凸构建。

灵感来自 OpenClaw.ai

特色

• 多代理系统 - 同时运行多个代理，每个代理拥有独立的配置、技能、MCP服务器和内存
• 共享灵魂文档 - 定义可重复使用的代理个性，能够驱动一个或多个代理
• 代理控制 - 每个代理自动运行、暂停、重启、单任务或思考继续模式
• 代理间交互 - 代理之间可以相互沟通并委派任务
• 公共聊天界面 - 干净的实时聊天，包含流式回应和代理选择器
• SyncBoard 管理 - 私有仪表盘，用于管理代理、灵魂、技能和集成
• 技能系统 - 基于模板、webhook或基于代码的技能，带有外部注册市场
• 多模型 - Claude、GPT、Grok、Gemini 或任何 OpenRouter 模型（可按代理配置）
• MCP 支持 - 连接 MCP 服务器或将你的代理暴露为 MCP 服务器（可分配给每个代理）
• 频道集成 - Telegram、Discord、WhatsApp、Slack、电子邮件

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.

Inspired by OpenClaw.ai

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

2. Initialize Convex:

npx convex dev

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

3. 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-...