Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Automate WeChat Linux desktop client via GUI automation. Install WeChat, send text messages, send images, send files, search chats, and take screenshots — all through pixel-level analysis and XTest kernel-level input simulation. Use when the user wants to operate WeChat on a Linux desktop (send messages, images, files, find groups/contacts, or interact with the WeChat GUI programmatically). --- name: wechat-automation description: Automate WeChat Linux desktop client via GUI automation. Install WeChat, send text messages, send images, send files, search chats, and take screenshots — all through pixel-level analysis and XTest kernel-level input simulation. Use when the user wants to operate WeChat on a Linux desktop (send messages, images, files, find groups/contacts, or interact with the WeChat GUI prog Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
wechat-automation is best for ignore workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Automate WeChat Linux desktop client via GUI automation. Install WeChat, send text messages, send images, send files, search chats, and take screenshots — all through pixel-level analysis and XTest kernel-level input simulation. Use when the user wants to operate WeChat on a Linux desktop (send messages, images, files, find groups/contacts, or interact with the WeChat GUI programmatically). --- name: wechat-automation description: Automate WeChat Linux desktop client via GUI automation. Install WeChat, send text messages, send images, send files, search chats, and take screenshots — all through pixel-level analysis and XTest kernel-level input simulation. Use when the user wants to operate WeChat on a Linux desktop (send messages, images, files, find groups/contacts, or interact with the WeChat GUI prog
Public facts
5
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Morecup
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.
Setup snapshot
git clone https://github.com/morecup/openclaw-wechat-automation.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Morecup
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
# Find WeChat windows export DISPLAY=:15 # or your display xdotool search --class "wechat" xdotool windowactivate --sync $WINDOW_ID
python
from Xlib import X, display from Xlib.ext import xtest d = display.Display() # Keyboard xtest.fake_input(d, X.KeyPress, d.keysym_to_keycode(0xff0d)) # Enter xtest.fake_input(d, X.KeyRelease, d.keysym_to_keycode(0xff0d)) # Mouse xtest.fake_input(d, X.MotionNotify, x=abs_x, y=abs_y) xtest.fake_input(d, X.ButtonPress, detail=1) xtest.fake_input(d, X.ButtonRelease, detail=1) d.flush()
python
from xdnd import xdnd_send # target_wid = WeChat window ID, drop_x/y = absolute coords of input area xdnd_send(target_wid, '/path/to/file', drop_x, drop_y)
bash
echo -n "中文消息" | xclip -selection clipboard xdotool key --clearmodifiers ctrl+v # or use XTest for ctrl+v
python
from PIL import Image
img = Image.open('screenshot.png')
# Green send button: RGB(8, 195, 99)
# Toolbar separator: RGB(214, 215, 214)
# Input area background: RGB(239, 239, 239)bash
python3 scripts/wechat_send_text.py --search "群名或联系人" --message "消息内容"
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Automate WeChat Linux desktop client via GUI automation. Install WeChat, send text messages, send images, send files, search chats, and take screenshots — all through pixel-level analysis and XTest kernel-level input simulation. Use when the user wants to operate WeChat on a Linux desktop (send messages, images, files, find groups/contacts, or interact with the WeChat GUI programmatically). --- name: wechat-automation description: Automate WeChat Linux desktop client via GUI automation. Install WeChat, send text messages, send images, send files, search chats, and take screenshots — all through pixel-level analysis and XTest kernel-level input simulation. Use when the user wants to operate WeChat on a Linux desktop (send messages, images, files, find groups/contacts, or interact with the WeChat GUI prog
Automate the WeChat Linux native client through X11 GUI automation on headless or desktop Linux.
Ensure these are installed before using (install via scripts/setup_deps.sh):
wechat RPM/DEB from Tencent)import/convert for screenshots)Pillow and python-xlib# Find WeChat windows
export DISPLAY=:15 # or your display
xdotool search --class "wechat"
xdotool windowactivate --sync $WINDOW_ID
Critical: xdotool key uses X11 SendEvent which Qt apps (like WeChat) can ignore.
Use XTest fake_input for reliable keyboard/mouse simulation:
from Xlib import X, display
from Xlib.ext import xtest
d = display.Display()
# Keyboard
xtest.fake_input(d, X.KeyPress, d.keysym_to_keycode(0xff0d)) # Enter
xtest.fake_input(d, X.KeyRelease, d.keysym_to_keycode(0xff0d))
# Mouse
xtest.fake_input(d, X.MotionNotify, x=abs_x, y=abs_y)
xtest.fake_input(d, X.ButtonPress, detail=1)
xtest.fake_input(d, X.ButtonRelease, detail=1)
d.flush()
Image and file sending both use XDND v5 protocol via ctypes X11 bindings (scripts/xdnd.py).
This simulates dragging a file from a file manager to WeChat — more reliable than clipboard paste.
from xdnd import xdnd_send
# target_wid = WeChat window ID, drop_x/y = absolute coords of input area
xdnd_send(target_wid, '/path/to/file', drop_x, drop_y)
XDND flow: XdndEnter → XdndPosition → XdndDrop → handle SelectionRequest with file:// URI → Enter to confirm
xdotool type cannot handle CJK characters. Use clipboard paste:
echo -n "中文消息" | xclip -selection clipboard
xdotool key --clearmodifiers ctrl+v # or use XTest for ctrl+v
WeChat is a single Qt window — no child widget inspection. Locate UI elements by color:
from PIL import Image
img = Image.open('screenshot.png')
# Green send button: RGB(8, 195, 99)
# Toolbar separator: RGB(214, 215, 214)
# Input area background: RGB(239, 239, 239)
Run scripts/setup_deps.sh then scripts/install_wechat.sh.
python3 scripts/wechat_send_text.py --search "群名或联系人" --message "消息内容"
python3 scripts/wechat_send_image.py --search "群名或联系人" --image /path/to/image.png
python3 scripts/wechat_send_file.py --search "群名或联系人" --file /path/to/file.pdf
# Multiple files:
python3 scripts/wechat_send_file.py --search "群名" --file file1.txt file2.pdf file3.docx
Both use XDND v5 drag-and-drop protocol — no clipboard dependency, works regardless of focus state.
python3 scripts/wechat_screenshot.py [--window-only] [--output /path/to/output.png]
WeChat Linux 4.x window layout (within window coordinates):
| Region | Y Range | Description | |--------|---------|-------------| | Header | 0-5 | Chat name, buttons | | Messages | 5-485 | Chat message bubbles | | Toolbar | 490-560 | Emoji, file attach, screenshot icons | | Separator | 560 | Thin line (214,215,214) | | Input Area | 562-660 | Text input (gray background 239,239,239) | | Send Button | 660-700 | Green button right side (8,195,99) | | Sidebar | x: 0-260 | Chat list on the left |
Note: These coordinates vary with window size. Always use scripts/wechat_find_ui.py to dynamically locate elements.
xdotool type for Chinese — always clipboard pastefake_input, not xdotool clickDISPLAY env var to your Xvfb/Xvnc display numberMachine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/snapshot"
curl -s "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/contract"
curl -s "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T02:27:26.231Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "ignore",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:ignore|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Morecup",
"href": "https://github.com/morecup/openclaw-wechat-automation",
"sourceUrl": "https://github.com/morecup/openclaw-wechat-automation",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T02:23:39.408Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T02:23:39.408Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/morecup/openclaw-wechat-automation",
"sourceUrl": "https://github.com/morecup/openclaw-wechat-automation",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T02:23:39.408Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/morecup-openclaw-wechat-automation/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to wechat-automation and adjacent AI workflows.