[Open-source] A workflow automation platform focused on WeChat ecosystem, enterprise intelligent evolution new engine

Open SourceOpen Source Systems
2026-06-10 12:24 5 次浏览 • 0 次下载 0KB
[Open-source] A workflow automation platform focused on WeChat ecosystem, enterprise intelligent evolution new engine

1. Project Overview

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ChatWiki is a workflow automation platform focused on WeChat ecosystem, committed to making every public account a super AI intelligent body. It integrates the open capabilities of the public account platform, and can be built into a WeChat ecosystem application by dragging and dropping. It can implement public account tweet one-click editing, message AI selected reply, etc.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

System Screenshot:

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4. Feature Overview

ChatWiki is a workflow automation platform focused on WeChat ecosystem. It integrates the open capabilities of the public account platform, and can be built into a WeChat ecosystem AI intelligent body by dragging and dropping. It can implement public account tweet one-click editing, message AI selected reply, etc. It can build a private AI knowledge base in 5 minutes to quickly construct a customer service robot. It is committed to becoming a vertical field coze, n8n.

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Core Features

WeChat ecosystem deep integration

  • Industry first
    Unverified public account private message automatic reply, supports text, voice, image, small program card, video message, etc.
  • WeChat workflow
    Integrate user private message, message, follow, unfollow, click menu, etc. trigger scenarios, support reply private message, fan label, generate draft article, publish article, etc. multiple processing flows
  • Knowledge base synchronization
    Supports grabbing public account article materials, one-click establishing knowledge base

Basic capabilities

  • Workflow orchestration:
    Dialogue workflow, plugin workflow, including basic workflow nodes, double-sided MCP, Agent mode, user interaction
  • Document knowledge base:
    Supports URL reading, document batch import, API interface, supports AI segmentation, QA segmentation, parent-child segmentation. Supports knowledge graph, vector mixed search, can visualize knowledge graph
  • Question and answer knowledge base:
    Upload documents to automatically extract question and answer knowledge, supports unknown questions automatic clustering, supports summarizing common FAQs from human dialogue
  • Transfer human customer service:
    Handle general user inquiries through robots, while supporting human customer service reception. Robot handling of bad questions can be intervened by human customer service, supports multiple customer service collaborative distribution
  • Model support:
    Supports DeepSeek R1, doubao pro, qwen max, Openai, Claude, etc. more than 20 mainstream models worldwide

More capabilities

  • Multiple deployment methods
    Provide desktop client, support publishing as WebApp, support embedding website, public account service number, WeChat customer service, WeChat small shop customer service, etc.
  • MCP & API integration
    Can introduce external MCP services, or publish workflow as MCP service. Complete OpenAPI interface, easy to integrate existing business systems
  • Multi-account permission management
    Manage, edit, view three-level permission system, implement data permission isolation. IP whitelist, login log permanent retention

5. Tech Stack

One-click deployment

ChatWiki community edition is based on Docker deployment, only a few steps are needed to complete the installation:

# Install Docker
sudo curl -sSL https://get.docker.com/ | CHANNEL=stable sh
# Clone the project
git clone chatwiki.gitcd chatwiki/docker
# Start Service
docker compose up -d
# Start using, access by IP + port (need to open specified port ${CHAT_SERVICE_PORT}, default 18080)
# Default account: admin
# Default password: chatwiki.com@123

Tech Stack


  • Front-end: vue.js
  • Back-end: golang + python
  • Database: PostgreSQL16 + pgvector + zhparser
#1
资源直链https://github.com/zhimaAi/chatwiki
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