Space foryour ambition

Let your agent research, write files and run commands on your computer, with every step in view.

See it in action

You set the goal. Your agent gets to work

Start with a concrete goal. Follow the work and keep the results in your workspace.

Compare the options before you choose
I’m deciding between a few options. Research them against my needs, compare the differences, keep the sources, and flag what still needs checking.
Work assistant

Done

Read your needs and shortlist
Research and compare the options
Prepare a sourced comparison and open questions

A comparison with sources

Reply or add context…

Ask for approvalReasoning Auto · Cogine Free
Intelligence, quietly at work
Product illustration · not a live screenshot
RESULT PREVIEW

Options compared

A comparison with sources

OptionPriorityCheck next
Option APortabilityTime away from a desk
Option BPerformanceEveryday software
Option CExpandabilityFuture needs
TAKE IT FURTHER →

How does the choice change if portability, budget or longevity matters most

Customer story

Proposal preparation, from a week to half a day

AnxuBrand design · A team of three

Anxu uses CogineWork to organize client materials, research the background and prepare a working brief. The three-person team gets to the creative conversation sooner.

Proposal preparation time · Team accountAbout a weekAbout half a day

“With the groundwork ready, we can spend our time talking about the ideas.”

Yan Lin, co-founder of Anxu Studio
Read Anxu’s storyMore customer stories

FAQs

Before you start

See all FAQs

Can I use CogineWork as an individual?

Yes. Run CogineWork on your computer, connect a supported AI service or local model, and use it for research, creation and development.

Do I have to use one particular AI service?

No. Choose a provider supported by the client and use your own account, API key or local model. Available models and capabilities vary by connection.

Does local-first mean no data leaves my computer?

Not always. Cloud models and external tools may receive the content needed for a task. The data path depends on your chosen models, tools and configuration.