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Chatwiki

Chatwiki is a workflow automation platform for building AI applications in the WeChat ecosystem, including official-account customer-service bots, document knowledge bases and automated account tasks.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Chatwiki — OpenViST project profile in Workflow Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Chatwiki when the workflow needs to connect WeChat account activity with AI responses, knowledge retrieval or content operations, or when a customer-service bot needs a path to human handoff.

Who it is for

  • Teams building AI customer-service workflows for WeChat official accounts
  • Organizations that want to connect WeChat messages or account events to automated replies and other workflow actions
  • Developers and operators assembling document-based knowledge applications or MCP-connected workflows

Documented uses

  • Build a customer-service bot that answers from uploaded documents or a knowledge base and can escalate unresolved inquiries to human staff.
  • Connect WeChat events such as messages, comments, follows and menu clicks to replies, follower tagging, article drafts or publishing actions.
  • Create a knowledge base from documents, URLs or official-account materials.
  • Automate article rewriting and generate AI-curated replies to comments.
Before you choose

Requirements & limits

The repository documents a Community Edition deployment using Docker Compose and also describes desktop-client access, WebApp publishing and embedding options.

  • The product's documented workflow integrations are focused on the WeChat ecosystem.
  • Knowledge sources include URLs, batch document import, APIs and synchronized official-account materials.
  • The README describes hybrid vector search, knowledge graphs, AI-based document segmentation and automatic extraction of Q&A knowledge.
  • The stated stack is Vue.js, Go, Python, PostgreSQL 16, pgvector and zhparser.
  • The README lists support for more than 20 models and describes external MCP integration and publishing workflows as MCP services.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the Community Edition with Docker

Start the Chatwiki Community Edition service using the repository's documented Docker deployment steps.

Before you start

  • Docker installed on the deployment machine
  • The Chatwiki Git repository cloned locally
  • The configured service port open for access

Steps

  1. Install Docker using the command provided in the README.

  2. Clone the Chatwiki repository and change into its docker directory.

  3. Run docker compose up -d.

  4. Access the service at the machine's IP address and configured port; the README gives 18080 as the default.

Expected outcome

The README describes the service as started and accessible through the machine's IP address and port.

Guide limitations

  • These are the documented installation steps, not a verified deployment.
  • The README lists default login credentials; change or manage credentials according to your deployment requirements.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
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Sources checked
14 October 2026
Original website title
zhimaAi/chatwiki · Official homepage title · retained in its source language
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