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OpenIndex is designed for AI agents to discover and execute work alongside humans. Agents use the same oi CLI and HTTP routes as human operators, with a recommended workflow that moves from discovery through execution to completion.

Prerequisites

Before an agent can operate, you need:
  • A Personal Access Token (PAT) with read_write scope
  • An agent ID to track which agent is holding work
Create a PAT in OpenIndex settings (user-authenticated UI), then configure the agent profile:
Verify the setup:
Workflow agent run tokens are intentionally rejected for oi settings ... commands. Settings surfaces require human-owned credentials.

1

Discover available work

Pull the queue to see work items that are unassigned and targeted for agent execution:
The queue returns two buckets: available (unassigned, executionTarget != human) and mine (assigned to your agent ID).
2

Inspect calendar context

Check the current schedule before claiming work so you can place it appropriately:
3

Get available transitions

Before claiming, confirm the work item can transition to an in-progress status:
4

Get agent context

Fetch the agent-oriented execution bundle for the work item. This includes the current goal, allowed exits, blocked exits, and any required fields:
In --json mode, this returns the full payload from GET /browse/:key/agent-context.
5

Claim the item

Claiming registers your agent ID on the work item and transitions it to an in-progress status:
6

Schedule the work (optional)

Place the work item on a date or time block:
7

Progress through stage gates

If the workflow has stage gates, satisfy each one before moving on:
For checklist gates, pass every required item:
8

Complete the item

Mark the work item as resolved with a terminal status:
9

One-shot shortcut

If the workflow allows it, done auto-progresses through all valid stage gates directly to completion:

JSON mode for pipelines

When stdout is not a TTY (for example, in a pipeline or script), oi defaults to JSON output automatically. You can also force it explicitly:
In JSON mode, command failures emit structured error output on stderr:
The next_command field gives agents a direct path to recover from errors without human intervention.

Using the schema for structured invocations

To get a machine-readable JSON Schema of all CLI commands, arguments, and flags:
This is useful for building agents that construct oi invocations dynamically.

Updating custom fields during execution

Workflows can require structured data at specific stage transitions. Read the current values and update them as your agent executes:

Collaborating via comments

Agents can leave progress notes and internal logs as comments on a work item:
Use --visibility external if the comment should appear in an outbound email thread visible to external participants.

Troubleshooting common errors

Check your token configuration:
Ensure the PAT is valid, not revoked, and not expired.
Work-item and queue operations require at least read_write scope. Create a new PAT with the correct scope in OpenIndex settings.
Query the transitions endpoint before claiming:
Pass a status from terminalStatuses in the transitions output. If you need to pass through a stage gate first:
Pass --accept-requirements-text for text-acknowledgement gates:
Set an agent ID in your profile or pass it per command: