#4848th of 56 in AssistantsFor data and documents, data analysis
wechat-intelligence-hub
Turns local WeChat history into daily reports, follow-ups and commitments
- Stars
- 2.7k
- License
- AGPL-3.0
- Last commit
- Oct 2026
- Language
- Python
Missed the latest GitHub check; these facts may be older.
Overview
Read-only toolkit that indexes a user's own local WeChat databases and produces Markdown and interactive HTML reports: daily digests, pending replies, commitments, business leads and per-contact summaries. It ships as two Codex skills (wechat-cli, wechat-intelligence-hub), a deterministic Python engine and a clean-room Reader using SQLCipher. Full history needs user-authorized key material; the repo does not bundle a key-extraction tool.
Who it is for: WeChat users who run Codex and want local chat digests and follow-up tracking
Strengths
- Read-only Reader: no message sending, no WeChat UI automation, no hooking in the core
- Outputs Markdown and searchable interactive HTML for any user-specified time range
- Fictional demo runs without WeChat access (run_demo.sh)
- Personal profile and WeChat labels are used to rank report items
Weaknesses
- Full database mode needs the user's own key material; first-time capture unverified on new machines
- Windows first-time key acquisition is not merged; macOS path untested on fresh machines
- Preview release (v0.9.2-preview.2); may break when WeChat updates
- AGPL-3.0; closed-source use needs a separate commercial license
What it needs
- Needs Codex, SQLCipher, Zstandard, Pandoc (HTML reports), nh3 (HTML sanitizing), Local WeChat database and key material
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