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Project agents

The Agents tab staffs a project with named agents — each with a harness, a model served by a provider you pick, equipment, and standing instructions — that work the project's tasks in an isolated sandbox.

4 min read

A project's Agents tab is its crew: named agents you configure once and then assign work to, each combining a coding harness, a model, skills and connectors, and standing instructions. Chat keeps running the built-in assistant — these agents exist for the board: assign one a task and it works in an isolated sandbox, then reports back for your review. Anyone with project edit access can manage them; a project holds up to 50.

Create an agent

  1. Open the tab and start one

    Open the project's Agents tab and click New agent. Give it a Name your team will recognize on task cards, and pick the Agent type — the coding harness the agent runs on.

  2. Pick the model — and with it, the provider

    The Model list is searchable, and a model served by more than one provider appears once per provider, with the serving provider named under each entry. The pick is exact: the agent's runs call that model through that provider — and the spend lands on that provider's credential. When the picked provider can no longer serve the model, the run fails with the reason instead of quietly switching to another provider's bill.

    Subscription-served entries — a Claude subscription, say — appear only while the Agent type is the harness that subscription drives, and a run on one authenticates with the vendor subscription instead of an organization API key.

  3. Equip it and set its instructions

    Skills, connectors & tools decide what the agent can reach beyond its workspace; the list follows the project's team access, not your personal visibility. Skills stage reference bundles into the sandbox; connectors broker a connected service; platform tools let the agent read and write your organization's own data — find and read tasks, contacts, products, documents, and knowledge, and (when you grant a write tool) create tasks, comment, move them between columns, sync an external item to a task, or save a document. A write tool is marked Writes data: granting it is the authorization, so an agent equipped with Create tasks files real tasks with no further approval. Reads and writes both stay scoped to the project — an agent never sees another project's board.

    Secrets hand the agent an API key as an environment variable — the escape hatch for a service that has no connector. Add one (a name like GLITCHTIP_TOKEN and the token), and the agent receives it in its shell and calls that service's API directly, reading the vendor's own docs. The value is stored encrypted and never shown again; store only low-privilege, rotatable tokens, because the running agent can read them. Secrets are owned by the organization, so the same one is reused across agents and rotated in one place.

    Instructions ride along on every run as a standing instruction — what this agent owns, how it should work, and the boundaries it must respect.

Click Create agent. The row lists the harness, the serving provider, the model, and the equipped count — the same summary teammates see when they assign it work.

Put it to work

Assign a board task to the agent and click Start agent on the task. The run works in an isolated sandbox with a standing workspace that persists across the agent's tasks, posts its report back as a task comment, attaches produced files as deliverables, and parks the task In review — agents never complete work; a person does. Comment on the task and @mention the agent to steer a live run, or to kick a fresh one that reads your comment first. Task automation covers the board loop end to end.

Change or remove one

Edits apply from the next run — a live run keeps the configuration it started with, so a mid-run edit never swaps the engine underneath it. Deleting an agent keeps every task's history; only the assignee slot empties.

Chat assistant or project agent?

Use…when the work is…
Chata conversation — questions, drafts, retrieval; the built-in assistant handles it.
A project agenta task — repo or file work on a harness, done by a standing, configured crew.

Where this fits

The agent is the project-side package of choices other pages explain: the harness catalog and its capabilities live in Harnesses, and which providers and credentials serve the models — stored keys on the metered gateway, or vendor subscriptions on the vendor's own account — is the Providers surface.

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