10 Commits

Author SHA1 Message Date
canghe
a3789232d4 docs: add acknowledgement to wechat-decrypt
Credit the upstream project that provides core decryption capabilities.
2026-04-06 09:52:02 +08:00
canghe
1eced78543 docs: add Full Disk Access prerequisite for macOS
Users must grant Full Disk Access to their terminal before running
init, otherwise key extraction will fail silently.
2026-04-06 09:37:39 +08:00
canghe
019ef4eba6 docs: add system requirements (macOS ≥ 26.3.1, WeChat ≤ 4.1.8.100)
Also fix duplicate disclaimer sections in README_CN.md.
2026-04-05 17:20:44 +08:00
canghe
86590e7ec8 Add safety notice and disclaimer to both READMEs
- Re-sign notice: reinstall WeChat fixes issues, no need to re-run init
- Add disclaimer: read-only, no cloud, no ecosystem disruption
2026-04-04 16:25:47 +08:00
canghe
7b9139bd8f Add re-signing safety notice: no ban risk, may affect auto-update 2026-04-04 16:13:25 +08:00
canghe
ab890dfac0 Add update instructions and macOS task_for_pid troubleshooting to READMEs 2026-04-04 14:46:12 +08:00
苍何
3d75bde4ef Sync Agent installation guide and init screenshots to English README
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-04 14:28:29 +08:00
canghe
e6f79aff0b Redesign READMEs: add badges, AI agent guides, npm as recommended install
- Add npm version, license, and platform badges
- Feature npm as primary installation method
- Add Claude Code and OpenClaw integration guides
- Add section icons and Star History chart
2026-04-04 12:54:14 +08:00
canghe
f51e89ce12 Add npm distribution support with PyInstaller binary
- Add npm package structure (@canghe_ai/wechat-cli) with platform-specific optionalDependencies
- Add JS wrapper (bin/wechat-cli.js) and postinstall script
- Add PyInstaller entry point and build script
- Update scanner_macos.py for PyInstaller compatibility (sys._MEIPASS)
- Update README with npm install instructions (macOS arm64)
- Fix repo URLs to freestylefly/wechat-cli
2026-04-04 12:36:50 +08:00
canghe
e64006bafe Initial release: wechat-cli v0.2.0
A CLI tool to query local WeChat data with 11 commands:
sessions, history, search, contacts, members, stats, export,
favorites, unread, new-messages, and init.

Features:
- Self-contained init with key extraction (no external deps)
- On-the-fly SQLCipher decryption with caching
- JSON output by default for LLM/AI tool integration
- Message type filtering and chat statistics
- Markdown/txt export for conversations
- Cross-platform: macOS, Windows, Linux
2026-04-04 11:10:10 +08:00