Group Chat Management Pain Point Analysis
When the volume of WeChat messages is huge, the keyword search function of the official client suffers from slow speed and imprecise results, etc. Chatlog improves this problem by building a local index and providing a multi-dimensional query interface.
Efficient search program
- Terminal Quick Search::
- Launch the TUI interface:
./chatlogUse the arrow keys to navigate after - Filter by time: enter a date range to quickly locate historical messages
- Launch the TUI interface:
- API Precision Query::
- Statistics on statements made by members:
GET /api/v1/chatlog?talker=群成员ID - Time period analysis:
time=2023-01-01~2023-12-31Parameter combinations
- Statistics on statements made by members:
- AI-assisted queries::
After configuring the MCP SSE protocol, you can use natural language queries such as "show last week's speech record of Zhang San".
Typical Application Scenarios
- Community operation: statistics on active members and frequency of speeches
- Workgroups: retrospective task-specific discussion logs
- Study group: organizing knowledge points into a document
This answer comes from the articleChatlog: extract and query WeChat chat logs of open source toolsThe
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