From aradotso-trending-skills-37
Connects WeChat to AI agents (Claude, Codex, Gemini, Kimi) via a Go-based bridge with QR login, message routing, and multiple agent modes (ACP, CLI, HTTP).
How this skill is triggered — by the user, by Claude, or both
Slash command
/aradotso-trending-skills-37:weclaw-wechat-ai-bridgeThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.
Skill by ara.so — Daily 2026 Skills collection.
WeClaw connects WeChat to AI agents (Claude, Codex, Gemini, Kimi, OpenClaw, etc.) via a Go-based bridge. It handles QR-code login, message routing, media conversion, and agent lifecycle. Supports three agent modes: ACP (JSON-RPC subprocess, fastest), CLI (new process per message), and HTTP (OpenAI-compatible REST).
# One-line installer
curl -sSL https://raw.githubusercontent.com/fastclaw-ai/weclaw/main/install.sh | sh
# Via Go toolchain
go install github.com/fastclaw-ai/weclaw@latest
# Via Docker
docker run -it -v ~/.weclaw:/root/.weclaw ghcr.io/fastclaw-ai/weclaw start
weclaw start # Shows QR code → scan with WeChat → auto-detects agents → saves config
weclaw login # Add/re-authenticate a WeChat account
weclaw status # Show running state and active agent
weclaw stop # Stop the background daemon
weclaw start -f # Foreground mode (debug/verbose)
Logs: ~/.weclaw/weclaw.log
Config: ~/.weclaw/config.json
{
"default_agent": "claude",
"agents": {
"claude": {
"type": "acp",
"command": "/usr/local/bin/claude-agent-acp",
"model": "sonnet"
},
"codex": {
"type": "acp",
"command": "/usr/local/bin/codex-acp"
},
"claude-cli": {
"type": "cli",
"command": "/usr/local/bin/claude",
"args": ["--dangerously-skip-permissions"]
},
"codex-cli": {
"type": "cli",
"command": "/usr/local/bin/codex",
"args": ["--skip-git-repo-check"]
},
"openclaw": {
"type": "http",
"endpoint": "https://api.example.com/v1/chat/completions",
"api_key": "$OPENCLAW_GATEWAY_TOKEN",
"model": "openclaw:main"
}
}
}
| Variable | Purpose |
|---|---|
WECLAW_DEFAULT_AGENT | Override default agent at runtime |
WECLAW_API_ADDR | Change local HTTP API address (default 127.0.0.1:18011) |
OPENCLAW_GATEWAY_URL | HTTP agent endpoint |
OPENCLAW_GATEWAY_TOKEN | HTTP agent API token |
| Mode | Process model | Best for |
|---|---|---|
acp | Long-running subprocess, JSON-RPC over stdio | Claude, Codex, Kimi, Gemini — fastest, session reuse |
cli | New process per message, --resume for sessions | claude -p, codex exec |
http | OpenAI-compatible /v1/chat/completions | Any REST-accessible model |
Auto-detection prefers acp over cli when both binaries exist.
| Command | Action |
|---|---|
hello | Send to default agent |
/codex write a sort function | Route to named agent |
/cc explain this code | Use alias (/cc → claude) |
/claude | Switch default agent to Claude (persisted) |
/status | Show active agent info |
/help | List available commands |
| Alias | Agent |
|---|---|
/cc | claude |
/cx | codex |
/cs | cursor |
/km | kimi |
/gm | gemini |
/ocd | opencode |
/oc | openclaw |
# Send plain text
weclaw send --to "[email protected]" --text "Hello from WeClaw"
# Send an image
weclaw send --to "[email protected]" --media "https://example.com/photo.png"
# Send text + media together
weclaw send --to "[email protected]" \
--text "Check this out" \
--media "https://example.com/photo.png"
# Send a file
weclaw send --to "[email protected]" --media "https://example.com/report.pdf"
The local API listens on 127.0.0.1:18011 while weclaw start is running.
# Send text
curl -X POST http://127.0.0.1:18011/api/send \
-H "Content-Type: application/json" \
-d '{"to": "[email protected]", "text": "Hello from WeClaw"}'
# Send image
curl -X POST http://127.0.0.1:18011/api/send \
-H "Content-Type: application/json" \
-d '{"to": "[email protected]", "media_url": "https://example.com/photo.png"}'
# Send text + media
curl -X POST http://127.0.0.1:18011/api/send \
-H "Content-Type: application/json" \
-d '{"to": "[email protected]", "text": "See this", "media_url": "https://example.com/photo.png"}'
Supported media types: png, jpg, gif, webp, mp4, mov, pdf, doc, zip.
Change listen address:
WECLAW_API_ADDR=0.0.0.0:18011 weclaw start
Call the WeClaw HTTP API from a Go service to send notifications:
package main
import (
"bytes"
"encoding/json"
"fmt"
"net/http"
"os"
)
type SendRequest struct {
To string `json:"to"`
Text string `json:"text,omitempty"`
MediaURL string `json:"media_url,omitempty"`
}
type SendResponse struct {
OK bool `json:"ok"`
Message string `json:"message,omitempty"`
}
func sendToWeChat(to, text, mediaURL string) error {
apiAddr := os.Getenv("WECLAW_API_ADDR")
if apiAddr == "" {
apiAddr = "127.0.0.1:18011"
}
req := SendRequest{To: to, Text: text, MediaURL: mediaURL}
body, err := json.Marshal(req)
if err != nil {
return fmt.Errorf("marshal: %w", err)
}
resp, err := http.Post(
fmt.Sprintf("http://%s/api/send", apiAddr),
"application/json",
bytes.NewReader(body),
)
if err != nil {
return fmt.Errorf("post: %w", err)
}
defer resp.Body.Close()
var result SendResponse
if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
return fmt.Errorf("decode: %w", err)
}
if !result.OK {
return fmt.Errorf("weclaw error: %s", result.Message)
}
return nil
}
func main() {
recipient := os.Getenv("WECHAT_RECIPIENT_ID") // e.g. "[email protected]"
if err := sendToWeChat(recipient, "Build succeeded ✅", ""); err != nil {
fmt.Fprintf(os.Stderr, "failed: %v\n", err)
os.Exit(1)
}
fmt.Println("Message sent.")
}
# Build image
docker build -t weclaw .
# Step 1: Interactive login (scan QR code)
docker run -it -v ~/.weclaw:/root/.weclaw weclaw login
# Step 2: Run daemon with HTTP agent
docker run -d --name weclaw \
-v ~/.weclaw:/root/.weclaw \
-e OPENCLAW_GATEWAY_URL=https://api.example.com \
-e OPENCLAW_GATEWAY_TOKEN="$OPENCLAW_GATEWAY_TOKEN" \
weclaw
# Expose the local API externally (bind carefully — no auth by default)
docker run -d --name weclaw \
-v ~/.weclaw:/root/.weclaw \
-e WECLAW_API_ADDR=0.0.0.0:18011 \
-p 18011:18011 \
-e OPENCLAW_GATEWAY_TOKEN="$OPENCLAW_GATEWAY_TOKEN" \
weclaw
docker logs -f weclaw
ACP/CLI agents require the agent binary inside the container. Mount the binary or build a custom image. HTTP agents work out of the box.
macOS (launchd):
cp service/com.fastclaw.weclaw.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.fastclaw.weclaw.plist
Linux (systemd):
sudo cp service/weclaw.service /etc/systemd/system/
sudo systemctl enable --now weclaw
journalctl -u weclaw -f
make dev # Hot reload
go build -o weclaw . # Build binary
./weclaw start -f # Run in foreground
Releasing:
git tag v0.1.0
git push origin v0.1.0
# GitHub Actions builds darwin/linux × amd64/arm64 and uploads release artifacts
Send /claude or /codex as a WeChat message to switch the default agent. The choice persists in ~/.weclaw/config.json across restarts.
After a build, call weclaw send or POST to the HTTP API to push results to a WeChat contact or group.
If an agent reply contains , WeClaw auto-downloads, AES-128-ECB encrypts, uploads to WeChat CDN, and delivers as a native image message — no extra config needed.
{
"claude": { "type": "cli", "command": "/usr/local/bin/claude",
"args": ["--dangerously-skip-permissions"] },
"codex": { "type": "cli", "command": "/usr/local/bin/codex",
"args": ["--skip-git-repo-check"] }
}
ACP agents handle permissions automatically and do not need these flags.
| Symptom | Fix |
|---|---|
| QR code not appearing | Run weclaw login explicitly; ensure terminal supports UTF-8 |
| Agent not auto-detected | Check binary is on $PATH; run weclaw status |
connection refused on HTTP API | Confirm weclaw start is running; check WECLAW_API_ADDR |
| Agent permission prompts block responses | Add --dangerously-skip-permissions (Claude) or --skip-git-repo-check (Codex) to args; or use ACP mode |
| Docker — no agent binary | Mount binary: -v /usr/local/bin/claude:/usr/local/bin/claude; or use HTTP mode |
| Markdown not rendering | WeClaw strips markdown automatically for WeChat plain-text display; this is expected |
| Logs | tail -f ~/.weclaw/weclaw.log or docker logs -f weclaw |
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-1 --plugin aradotso-trending-skills-37Bridges any AI agent backend to WeChat using the weixin-agent-sdk TypeScript framework. Handles login, QR code auth, and message loop with a simple Agent interface.
Guides setting up external messaging channels (WhatsApp, Telegram, Discord, iMessage) for Claude Code agents via plugins. Useful for enabling communication outside the CLI.
Integrates WeChat with OpenClaw for bidirectional messaging. Supports private/group chats, @mentions, and media transfer. Use when sending/receiving WeChat messages via AI.