Your dedicated AI researcherOnline around the clock
WiseClaw runs on your machine, browsing the web, watching your data sources, and executing tasks on a schedule — then delivers the findings straight to the channels you already use. No prompts to babysit, just goals to set.
- License
- MIT licensed
- Channels
- 20+ delivery channels
- Platforms
- macOS · Windows · Linux
One interface, every agent in view
A visual control room puts setup, monitoring, and review just a few clicks away — power users can still drop into Advanced Mode.
Placeholder mockup shown here — replace with real screenshots in the public/screenshots directory.
Built for continuous, autonomous operation
Eight core capabilities that take agents from reactive answers to proactive execution.
Autonomous browsing & monitoring
Agents visit pages, extract data, and track changes in the sources you care about — no manual checking required.
Multi-channel smart delivery
Findings and alerts land simultaneously across WhatsApp, Telegram, Slack, Discord, and 20+ other channels.
Local-first, fully in your control
Credentials and data stay on your device by default — the cloud is optional, never mandatory.
Scheduling & workflow orchestration
Chain multi-step tasks on a minute, hourly, or custom cadence, and let routine work run itself.
Multi-agent collaborative routing
Agents with different responsibilities can hand off work intelligently, coordinating on complex jobs.
Open, extensible skill ecosystem
Extend capabilities with pluggable Skills — freely mix and reuse contributions from the community.
Bring your own model
Works with Claude, GPT, Gemini and other leading models — switch or combine them per task.
Graphical UI, zero command line required
Everyday setup is fully visual out of the box, while a complete advanced mode remains for developers.
From install to steady output in four steps
No heavy operations required — configure once and let agents run autonomously for the long haul.
- 01
Install & deploy
Download the installer for your platform and get running locally in minutes — no server required.
- 02
Connect sources & channels
Point WiseClaw at the sites, APIs, or files you care about, and bind the channels you want results delivered to.
- 03
Set the cadence
Define how often each task runs and what triggers it, then hand it off to the agent.
- 04
Keep receiving summaries
Structured findings and alerts show up continuously in the chat apps you already use.
Ready to fit however you work
Four representative scenarios showing how WiseClaw slots into real workflows.
Chat tools vs. WiseClaw
The core difference: one waits for your prompt, the other keeps working for you.
| Traditional chat tools | WiseClaw | |
|---|---|---|
| Way of working | Waits passively for a prompt | Set a goal, then runs continuously |
| Uptime | Responds only when asked | Runs in the background, 24/7 |
| Getting results | You have to open the chat to check | Results are pushed to your channels |
| Data ownership | Mostly cloud-dependent processing | Local-first — data stays on your device |
| Task memory | Single-turn, easily loses context | Persistent memory with a traceable history |
| Extensibility | Feature set is largely fixed | Open skill ecosystem, freely extensible |
Local-first, with no vendor lock-in
A clean three-part architecture keeps data flow transparent and under your control.
Your device
Credentials, raw data, and execution history stay on your machine by default.
Model providers
Call Claude, GPT, Gemini and others on demand — swap or combine freely.
Delivery channels
Findings reach you through the channels you choose, with no extra third-party relay.
What early users are saying
Real feedback from the private beta (shown with role-based attribution).
I used to refresh a dozen tabs a day by hand — now anomalies find me instead.
— An independent developer
Early beta user
Once we handed monitoring over to it, our stand-up prep time was cut in half.
— A startup team lead
Early beta user
Local-first matters a lot to us — we could adopt it without data ever leaving the device.
— A security practitioner
Early beta user
Coordinating tasks across multiple agents beats a single chat window by a wide margin.
— A product manager
Early beta user
Set it up once and forget it — the messages just show up in Slack on schedule.
— A data analyst
Early beta user
Open and extensible is why I picked it — the skill ecosystem is growing fast.
— An open-source contributor
Early beta user
These are placeholder quotes. Replace with real, permissioned user testimonials before launch.
Pick your platform and get started
Native installers for all three major platforms — up and running in minutes.
Frequently asked questions
Can't find what you're looking for? Ask the community.
Web browsing and model calls need a connection, but your credentials and history stay on your device by default — cloud upload is never required.
20+ built-in channels including WhatsApp, Telegram, Slack, and Discord, plus custom Webhook support for anything else.
No. The graphical interface covers everyday setup end to end; the command line remains available as an advanced option for developers.
Claude, GPT, Gemini and other leading models are supported — switch or mix them freely depending on the task.
No. WiseClaw follows a local-first principle — credentials and runtime data are stored on your device by default.
Yes. You can create multiple agents with distinct responsibilities and let routing rules coordinate them on complex tasks.
WiseClaw uses an open-source Skill plugin system — build your own or install skill packs published by the community.
Fully open source under the MIT license — browse the code on GitHub and contribute anytime.