Worldline

The sovereign operating and learning layer for AI agents. Keep context across tools, verify outcomes, track cost, and own what every run teaches you.

[Worldline @getworldline]

Own the intelligence your work creates.

[Sumeet Chougule @_sumeetc]

You can rent the models.
You can rent the agents.
You can rent the compute.

But you shouldn’t rent your company’s memory.

The context, corrections, decisions and accepted outcomes created through your organization’s work should remain yours.

@getworldline turns human-agent work into a customer-controlled operating record and, over time, intelligence you own.

Own the intelligence your work creates.

[Worldline @getworldline]

Worldline in the wild. SF Tech Week.

We’re meeting the people putting AI agents to work every day and learning where context, evidence and decisions get lost between runs.

If your team works across multiple agents and sessions, come find us.

https://t.co/SHK2xddDuA

[Worldline @getworldline]

An agent session ends. The work should carry forward.

Worldline turns Claude Code and Codex sessions into a record of actions, changes, costs and open questions then links that record to the next run.

Keep the context. Build on the work.

https://t.co/SHK2xddDuA

[Worldline @getworldline]

Agent work shouldn’t disappear when a session ends. Worldline makes the work multiplayer: people and agents can carry context, evidence and outcomes forward together.

https://t.co/TmKSybzpt2

[Sumeet Chougule @_sumeetc]

Agents finish. Teams reconstruct context, repeat reviews and pay again (in engineering time, not just model bills).

@getworldline makes agent work multiplayer: context and evidence travel across people, agents and handoffs.

I’ll be in SF for Tech Week. DM me.

[Worldline @getworldline]

What should the next person inherit from an agent run?

More than a transcript: the evidence, decisions and unfinished work.

An early look at what we’re building with Worldline.