Showcase
To judge whether Zhin fits you, seeing how others use it is often faster than reading architecture docs. Each story covers four things: why Zhin, how it's deployed, key configuration, and the pitfalls hit along the way.
| Story | Scenario | Platforms | AI | Example |
|---|---|---|---|---|
| Personal assistant | A private assistant: reminders + note search + chat, data stays on your machine | Sandbox (add any chat platform) | Ollama local model | life-assistant-bot |
| Multi-platform community bot | One process running 5 QQ accounts + QQ Official + Slack + GitHub | icqq / qq / slack / github | OpenRouter free model | test-bot |
Every story maps to an example you can run from the repo; config snippets are sanitized, with secrets as ${ENV} placeholders.
Next steps
- Example projects: run an example locally first
- Learning paths: pick a getting-started route by goal