Wxw-Gu/TraceMemo

What it solves

TraceMemo transforms fragmented WeChat chat histories into a structured, searchable, and understandable knowledge base. It solves the problem of losing important information buried in numerous conversations by providing tools to retrieve specific messages, summarize group discussions, and automate monitoring of chat activity.

How it works

The application operates as a local-first workbench that connects to the user's WeChat data directory to parse and index messages. It offers a hybrid approach to information retrieval: standard keyword search for exact matches and AI-powered search (RAG) using a local knowledge base for natural language queries. It also includes automation features like group chat daily reports and member exit monitoring, and provides an API/Agent Hub for external AI agents to query the user's chat history.

Who it’s for

Users who manage a high volume of WeChat conversations and need a way to organize, summarize, and search their personal and group chat data for productivity or archival purposes.

Highlights

• AI Search & Knowledge Base: Uses natural language to find fuzzy memories and provides source traceability for answers.
• Group Chat Summaries: Automatically generates daily or weekly reports summarizing the main topics of group discussions.
• Automation & Monitoring: Tracks when members leave specific groups and supports scheduled report generation.
• Agent Integration: Features an Agent Hub and Local HTTP API, allowing external AI tools to access and query WeChat history.
• Multimedia Support: Includes text-to-speech capabilities to generate and send voice messages.