Module 01/feature/1
Autonomous Research, Not Just Chat
ClawX follows a set-and-run model. It keeps browsing, monitoring, and reporting instead of waiting for your next prompt.
Open source agent runtime. Local-first control.
Deploy-first AI operations
Deploy ClawX in 1 minute.
Run a local-first AI research assistant that keeps monitoring, collecting, and delivering updates for you, even after the tab is closed.
Launch path01 min
Execution24/7
DeliverySlack + more
No cloud lock-in
Deploy fast without giving up runtime ownership.
Closer data boundary
Local-first by default, self-managed by design.
Continuous operation
Tasks keep running after the first setup click.
Runtime active
Control Surface
AI command center already running.
The homepage should feel like a live control room: incoming signals, scheduled execution, outbound delivery, and a clear reason to deploy now rather than bookmark later.
Live orchestration
Source sweep18 feeds online
Reasoning routeClaude + GPT
Digest cadenceEvery 15 min
Outbound railSlack / Telegram
Mission brief
Set the workflow once, keep the stack under your own control, and let ClawX continue monitoring, summarizing, and dispatching after the first launch.
01Open-source desktop AI assistant
02Runs on your own computer
0324/7 scheduled monitoring
Timeline
08:31 UTCDispatched
Market radar refreshed
4 new catalysts ranked and routed to the desk channel.
08:42 UTCDispatched
Research brief compiled
Sources merged into a daily operating summary for the team.
08:48 UTCDispatched
Launch tracker diffed
Homepage copy shifts captured before the end-of-day digest.
Signal 01
Open-source desktop AI assistant
Signal 02
Runs on your own computer
Signal 03
24/7 scheduled monitoring
Signal 04
Multi-channel delivery
Signal 05
Local-first data handling
Why teams remember it
The interface looks like work already in motion.
A deploy-first site only works if the product surface feels operational from the first glance. The goal is not a prettier chat wrapper. The goal is a control room that implies schedule, ownership, and output.
ClawX should feel editorial in layout and technical in posture: high-contrast, tightly paced, and explicit about what happens after deployment.
Module 02/feature/2
Deploy-First, Terminal-Optional
Launch the experience through a fast deployment flow, then manage recurring tasks through a visual control surface without living in a shell.
Module 03/feature/3
Local-First by Design
ClawX runs on your machine so your workflows, data, and keys stay under your control.
Module 04/feature/4
Visual Setup for Real Operators
Installation, configuration, and task setup are handled through a graphical interface, with CLI access available for advanced users.
Module 05/feature/5
Multi-Channel Delivery
Send updates where your team already works, including WhatsApp, Telegram, Slack, and more.
Module 06/feature/6
OpenClaw Inside
ClawX is built on the OpenClaw ecosystem, giving you access to an established agent runtime with extensible skills and provider support.
Deployment Preview
Turn one setup into continuous research.
Pick the signal, lock the cadence, route the output, and preview the exact kind of operating summary ClawX should keep shipping after deployment.
Source
Cadence
Channel
Live Panel
Market radar
Running
CadenceEvery 15 min
DeliverySlack
ModeAutonomous
Summary preview
Watching 18 tickers, 4 news feeds, and 2 filings sources. Next Slack digest arrives in 11 minutes with anomaly tags and a ranked watchlist.
Runbook
01Watch market radar sources
02Execute on every 15 min
03Dispatch into Slack
Output preview
New sources ranked by urgency
Digest includes linked evidence
Delivery stays outside the chat tab
Digest routed to Slack
Deploy-first narrative
This is not another chat tab with a sharper headline.
The key contrast is operational. Chat tools wait for prompts. ClawX is built for recurring execution, persistent monitoring, and delivery outside the original tab.
If the page only says “AI assistant,” it disappears into the category. If it shows timing, dispatch, and control, it becomes memorable.
Signal
Chat tools
ClawX
Execution model
Waits for prompts
Keeps running on schedule
Operating environment
Mostly cloud-first
Local-first and self-managed
Output pattern
One answer at a time
Continuous summaries and alerts
Delivery
Inside the chat tab
WhatsApp, Telegram, Slack, and more
Use cases
Built for operators who need signal on a schedule.
The product shines when it turns scattered monitoring into an owned cadence. These are not vague personas. They are recurring workflows with a defined destination.
Workflow 01
Market Radar
Track a watchlist, trigger recurring summaries, and push signals into Slack or Telegram before the next open.
Pre-market digests
Workflow 02
Research Desk
Monitor sources, collect updates, and turn daily browsing into a repeatable intelligence workflow.
Daily executive brief
Workflow 03
Ops Inbox
Keep tabs on docs, issue queues, or competitor launches and ship the right summary to the right channel automatically.
Competitor change alerts
FAQ
Questions the page should answer before the first click.
What is ClawX?+
ClawX is an open-source desktop AI assistant that runs on your own computer, monitors sources, executes scheduled tasks, and pushes results through messaging channels.
How is ClawX different from ChatGPT or Claude?+
Chat tools wait for prompts. ClawX is designed for ongoing execution: you define tasks, schedules, and outputs, then let it keep running.
Do I need coding skills to use ClawX?+
No. ClawX provides a visual interface for installation, configuration, and task setup. Developers can still use more advanced controls when needed.
Is my data secure with ClawX?+
ClawX is positioned as local-first and runs on your own machine, which helps keep data and credentials under your control.
What can ClawX send updates to?+
Official messaging mentions delivery through WhatsApp, Telegram, Slack, and additional channels.
Is ClawX free to use?+
ClawX itself is presented as free and open-source. You still need your own AI provider credentials and any provider usage costs are separate.
Final CTA
Own the runtime. Keep the data local. Let ClawX run the work.
Move from a one-time setup to continuous research with a deploy path that points straight into a live operating surface.
Deployeasyclaw.pro
Fallback pathLocal install