Use cases

For agents working
across applications.

Current data, related context, and a record of the actions agents take.

Illustrative account task

Read. Review. Act.

  1. ReadCRM and billing
  2. ReviewHuman correction
  3. ActRequested change

Account agents

Resolve customer
requests.

An agent uses account data, recent activity, and conversation history to resolve a request. It can update a preference and retain the information that informed the change.

Later tasks use previous actions and human corrections as context.

Explore action execution
Illustrative account view
Account 4821rev. 13

NotificationsMonthly

SourceCRM

Operations agents

Work across
applications.

An operations agent combines account records, project activity, and messages from different applications. Groundhog retains each source and observation time, and maintains views the agent can query.

Explore maintained views
CRMBillingMessages

Customer activity

One view across applications.

Agent development

Learn from
reviewed work.

Human reviews connect corrections to an agent's work and the data it consumed. Developers use recorded situations and reviewed outcomes to build evaluations. The history remains available when agents or models change.

Explore retained history
Connected records
Source data

Information returned to the agent.

Agent work

Generated output and its inputs.

Human review

Corrections linked to the output.

Build into
your product.

Shared data, maintained views, authorized actions, and retained history across tasks.

These workflows describe the product architecture. The durable event log is available today.

Read the architecture

About this site.

Groundhog is infrastructure for companies building agents. This site explains the product architecture and the current event log implementation.

The interactive examples use illustrative data. They do not connect to applications or execute external actions. Early access remains a placeholder in this preview.

Read the API reference