chatwiki
AI knowledge base workflow Agent platform for RAG-based AI customer service robots
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
ChatWiki specializes in deployment via Docker and offers a workflow management system for AI customer service robots using Vue.
Good fit when
- When you need an end-to-end workflow management system that is deployable with Docker
- If you are looking to implement RAG-based AI customer service bots and prefer frontend components backed by the ChatWiki logo
Avoid when
- Avoid if your project requires modification or removal of the 'ChatWiki' branding on frontend elements without a commercial license
- Not suitable for organizations that cannot comply with or afford additional restrictions specified in the ChatWiki Open Source License
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Active (13d since push)
- As of Sep 17, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 17, 2026
- Security (OSV)
- 11 low (11 low)
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/zhimaAi/chatwikiSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Developed with Vue, ChatWiki focuses on creating an end-to-end workflow management system that deploys as an AI customer service robot using Docker.
Capability facts
- Languages
- vue
Source: github.language · Sep 17, 2026
Categories
Tags
README
🚀 One Click Deployment ChatWiki Community Edition is deployed using Docker and can be installed in just a few simple steps: ``` Install Docker sudo curl sSL https://get.docker.com/ CHANNEL=stable sh License This project follows the ChatWiki Open Source License. The ChatWiki Open...
For agents
This page has a .md twin and JSON over the API.