A lightweight personal AI assistant framework
Project description
weavbot
A lightweight personal AI assistant framework.
Installation
uv tool install weavbot
Verify:
weavbot --version
To try the latest unreleased features:
uv tool install git+https://github.com/yankeguo/weavbot.git
Onboard (Recommended First Run)
Initialize local config/workspace and run the interactive setup wizard:
weavbot onboard
What onboard does:
- Creates
~/.weavbot/config.jsonand~/.weavbot/workspace/ - Guides provider/model selection with realtime filtering
- Configures one chat channel in the wizard (Telegram/Discord/Feishu/DingTalk/Slack/QQ/Wecom/Email/Mochat)
- Offers optional
ripgrepinstall and gateway auto-start setup
For non-interactive or scripted setup, use repeatable --set key=value:
weavbot onboard \
--set providers.openrouter.apiKey=sk-or-v1-xxx \
--set providers.openrouter.apiBase=https://openrouter.ai/api/v1 \
--set agents.defaults.provider=openrouter \
--set agents.defaults.model=openai/gpt-4o-mini
Detailed CLI docs:
- English: CLI Reference
- 中文: 命令参考
Full documentation: https://yankeguo.github.io/weavbot/
Wechat Channel
Wechat is configured in two phases:
- Enable it in config (interactive
onboardonly sets placeholder enablement):channels.wechat.enabled=true
- Complete QR login and credential binding with:
weavbot wechat login
For multi-account setups, put account entries under channels.wechat.accounts and optionally limit runtime accounts with channels.wechat.enabledAccounts.
Configuration reference:
- English: Wechat config
- 中文: 微信配置
Credits
This project is a hard fork of nanobot by HKUDS, with significant optimizations and improvements.
License
MIT
Project details
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