312 lines
8.7 KiB
Markdown
312 lines
8.7 KiB
Markdown
<div align="center">
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# WeChat CLI
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**Query your local WeChat data from the command line.**
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[](https://www.npmjs.com/package/@canghe_ai/wechat-cli)
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://github.com/freestylefly/wechat-cli)
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Chat history · Contacts · Sessions · Favorites · Statistics · Export
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[中文文档](README_CN.md)
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</div>
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---
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## ✨ Highlights
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- **🚀 Zero-config install** — `npm install -g` and you're done, no Python needed
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- **📦 11 commands** — sessions, history, search, contacts, members, stats, export, favorites, unread, new-messages, init
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- **🤖 AI-first** — JSON output by default, designed for LLM agent tool calls
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- **🔒 Fully local** — on-the-fly SQLCipher decryption, data never leaves your machine
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- **📊 Rich analytics** — top senders, message type breakdown, 24-hour activity charts
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- **📝 Flexible export** — Markdown or plain text, with time range filtering
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---
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## 📥 Installation (For Humans)
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AI Agents — skip ahead to "Installation (For AI Agents)" below.
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### npm (Recommended)
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```bash
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npm install -g @canghe_ai/wechat-cli
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```
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> Currently ships a **macOS arm64** binary. Other platforms can use the pip method below. PRs with additional platform binaries are welcome.
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### pip
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```bash
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pip install wechat-cli
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```
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Requires Python >= 3.10.
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### From Source
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```bash
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git clone https://github.com/freestylefly/wechat-cli.git
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cd wechat-cli
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pip install -e .
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```
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---
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## 📥 Installation (For AI Agents)
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Simply paste the following prompt into Claude Code, OpenClaw, or any AI coding agent:
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```bash
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帮我配置并安装：npm install -g @canghe_ai/wechat-cli
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```
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For example, in Claude Code:
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Note: Make sure you have Node.js installed first. You can ask your agent to set it up if needed.
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---
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## 🚀 Quick Start
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### Step 1 — Initialize
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Make sure WeChat is running, then:
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```bash
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# macOS/Linux: may need sudo for memory scanning
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sudo wechat-cli init
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# Windows: run in a terminal with sufficient privileges
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wechat-cli init
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```
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This auto-detects your WeChat data directory, extracts encryption keys, and saves config to `~/.wechat-cli/`.
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On macOS, you'll need to run the `sudo` command and enter your password:
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If you have multiple WeChat accounts logged in locally, you'll be prompted to choose one. Select the account you're currently using (the default is the first one):
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If you're unsure which WeChat account is currently active, navigate to the data folder and sort by modification date to find out:
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### Step 2 — Use It
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```bash
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wechat-cli sessions # Recent chats
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wechat-cli history "Alice" --limit 20 # Chat messages
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wechat-cli search "deadline" --chat "Team" # Search messages
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```
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---
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## 🤖 Using with AI Agents
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WeChat CLI is designed as an AI agent tool. All commands output structured JSON by default.
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### Claude Code
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Add to your project's `CLAUDE.md`:
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```markdown
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## WeChat CLI
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You can use `wechat-cli` to query my local WeChat data.
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Common commands:
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- `wechat-cli sessions --limit 10` — list recent chats
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- `wechat-cli history "NAME" --limit 20 --format text` — read chat history
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- `wechat-cli search "KEYWORD" --chat "CHAT_NAME"` — search messages
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- `wechat-cli contacts --query "NAME"` — search contacts
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- `wechat-cli unread` — show unread sessions
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- `wechat-cli new-messages` — get messages since last check
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- `wechat-cli members "GROUP"` — list group members
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- `wechat-cli stats "CHAT" --format text` — chat statistics
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```
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Then in conversation you can ask Claude things like:
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- "Check my unread WeChat messages"
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- "Search for messages about the project deadline in the Team group"
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- "Who sent the most messages in the AI group this week?"
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### OpenClaw / MCP Integration
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WeChat CLI works with any AI tool that can execute shell commands:
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```bash
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# Get recent conversations
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wechat-cli sessions --limit 5
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# Read specific chat
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wechat-cli history "Alice" --limit 30 --format text
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# Search with filters
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wechat-cli search "report" --type file --limit 10
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# Monitor for new messages (great for cron/automation)
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wechat-cli new-messages --format text
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```
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---
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## 📖 Command Reference
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### `sessions` — Recent Chats
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```bash
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wechat-cli sessions # Last 20 sessions
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wechat-cli sessions --limit 10 # Last 10
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wechat-cli sessions --format text # Human-readable
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```
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### `history` — Chat Messages
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```bash
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wechat-cli history "Alice" # Last 50 messages
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wechat-cli history "Alice" --limit 100 --offset 50
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wechat-cli history "Team" --start-time "2026-04-01" --end-time "2026-04-03"
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wechat-cli history "Alice" --type link # Only links
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wechat-cli history "Alice" --format text
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```
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**Options:** `--limit`, `--offset`, `--start-time`, `--end-time`, `--type`, `--format`
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### `search` — Search Messages
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```bash
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wechat-cli search "hello" # Global search
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wechat-cli search "hello" --chat "Alice" # In specific chat
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wechat-cli search "meeting" --chat "TeamA" --chat "TeamB" # Multiple chats
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wechat-cli search "report" --type file # Only files
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```
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**Options:** `--chat` (repeatable), `--start-time`, `--end-time`, `--limit`, `--offset`, `--type`, `--format`
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### `contacts` — Contact Search & Details
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```bash
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wechat-cli contacts --query "Li" # Search contacts
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wechat-cli contacts --detail "Alice" # Contact details
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wechat-cli contacts --detail "wxid_xxx" # By WeChat ID
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```
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Returns: nickname, remark, WeChat ID, bio, avatar URL, account type.
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### `members` — Group Members
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```bash
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wechat-cli members "Team Group" # All members (JSON)
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wechat-cli members "Team Group" --format text
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```
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### `stats` — Chat Statistics
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```bash
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wechat-cli stats "Team Group"
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wechat-cli stats "Alice" --start-time "2026-04-01" --end-time "2026-04-03"
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wechat-cli stats "Team Group" --format text
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```
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Returns: total messages, type breakdown, top 10 senders, 24-hour activity distribution.
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### `export` — Export Conversations
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```bash
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wechat-cli export "Alice" --format markdown # To stdout
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wechat-cli export "Alice" --format txt --output chat.txt # To file
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wechat-cli export "Team" --start-time "2026-04-01" --limit 1000
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```
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**Options:** `--format markdown|txt`, `--output`, `--start-time`, `--end-time`, `--limit`
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### `favorites` — WeChat Bookmarks
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```bash
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wechat-cli favorites # Recent bookmarks
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wechat-cli favorites --type article # Articles only
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wechat-cli favorites --query "machine learning" # Search
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```
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**Types:** text, image, article, card, video
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### `unread` — Unread Sessions
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```bash
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wechat-cli unread # All unread sessions
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wechat-cli unread --limit 10 --format text
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```
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### `new-messages` — Incremental New Messages
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```bash
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wechat-cli new-messages # First: return unread + save state
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wechat-cli new-messages # Subsequent: only new since last call
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```
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State saved at `~/.wechat-cli/last_check.json`. Delete to reset.
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---
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## 🔍 Message Type Filter
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The `--type` option (on `history` and `search`):
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| Value | Description |
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|-------|-------------|
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| `text` | Text messages |
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| `image` | Images |
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| `voice` | Voice messages |
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| `video` | Videos |
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| `sticker` | Stickers/emojis |
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| `location` | Location shares |
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| `link` | Links and app messages |
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| `file` | File attachments |
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| `call` | Voice/video calls |
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| `system` | System messages |
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---
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## 🖥️ Platform Support
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| Platform | Status | Notes |
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|----------|--------|-------|
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| macOS (Apple Silicon) | ✅ Supported | Bundled arm64 binary |
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| macOS (Intel) | ✅ Supported | x86_64 binary needed |
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| Windows | ✅ Supported | Reads Weixin.exe process memory |
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| Linux | ✅ Supported | Reads /proc/pid/mem, requires root |
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---
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## 🔧 How It Works
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WeChat stores chat data in SQLCipher-encrypted SQLite databases locally. WeChat CLI:
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1. **Extracts keys** — scans WeChat process memory for encryption keys (`init`)
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2. **Decrypts on-the-fly** — transparent page-level AES-256-CBC decryption with caching
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3. **Queries locally** — all data stays on your machine, no network access
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---
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## 📄 License
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[Apache License 2.0](LICENSE)
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---
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## ⭐ Star History
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[](https://star-history.com/#freestylefly/wechat-cli&Date)
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