# LC044/WeChatMsg

Repository: https://github.com/LC044/WeChatMsg
Canonical: https://ross.abutalabs.com/products/wechatmsg
License Family: other
Topics: wechat, pyqt, chatgpt, llms
Last push: 2025-12-30T13:31:16+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 59, release rhythm 35, longevity 95
- inputs: {"age_days": 1330, "days_push": 246, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 42006, forks 5299 (observed 2026-08-28T04:12:08.735616+00:00)

## What it is
WeChatMsg (留痕/MemoTrace) is a desktop application built with PyQt that extracts, exports, and preserves WeChat chat history on a user's own computer. It can turn exported conversations into browsable archives, word clouds, annual reports, and training data for personal LLM-based chatbots.

## Use cases
- export and back up my WeChat chat history
- view WeChat messages in a readable offline interface
- generate a yearly report from my chat data
- create word clouds and statistics from conversations
- train a personal AI chatbot on my own chat logs
- preserve chat memories with a partner or friend

## When to choose
- you want local, self-controlled export and analysis of WeChat chat data
- you want to build a personal LLM companion trained on your own conversations
- you want visual reports or word clouds from chat history

## When to avoid
- you need a tool that is actively maintained or guaranteed compatible with the latest WeChat versions
- you need a cross-platform tool (it primarily targets Windows)
- you need official support or a clear license for redistribution

## Facets
- artifact type: application
- maturity: maintenance
- function: chat-interface, data-science, data-visualization, llm-inference, developer-tools
- domain: messaging-platforms, data-visualization, artificial-intelligence, privacy, developer-tools
- platform: windows, python
- tags: wechat, chat-history-export, pyqt, chatgpt, digital-memory, annual-report, desktop

## Member repositories
- LC044/WeChatMsg (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:08.735616+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:22:53.789139+00:00, confidence not recorded.
  - readme: https://github.com/LC044/WeChatMsg (fetched 2026-08-28T04:12:08.735616+00:00, sha 8ec9c1e2fd71)
- Data as of 2026-08-30T08:39:29.467469+00:00.