Control your agents with programmatic access

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Your AI agent platform, programmable

Manage and orchestrate your coding agents with programmatic access.

  • Have your agent manage your workflows with MCP access.
  • Programmatically spin up agents with API access.
Integration docs
Environment starting in Ona.

Programmatic primitives

The API to your software factory.

MCP access

Expose approved tool context to agents.

API access

Trigger and inspect agent workflows from internal systems.

CLI access

Bring platform runs into developer workflows.

Policy layer

Keep programmatic access inside governance boundaries.

Questions & answers

Is API access available today?

Some interfaces are still coming soon; the page frames the product direction and integration surface.

Why MCP?

MCP gives agents a standard way to reach tools and context without bespoke integration code for every workflow.

Can internal tools trigger agent runs?

That is the target shape: internal tools should be able to start and route governed agent workflows.

Do programmatic runs bypass policy?

No. Programmatic access should use the same governance and runtime controls as human-launched work.

Other platform pieces.

Rest of platform layer.

BYO Agents & Inference

Any agent on your inference stack.

Integrations

Connect approved tools to agent runs.

Workflows

Schedule, trigger, and review agent runs.

Environments

Isolated workspaces with repo context.

Self-host Proliferate

Run Proliferate entirely in your VPC

Runtime Security

Control what agents can access and execute.

Governance & budgets

Policies, approvals, usage, and spend.

Security First

Identity, auditability, and deployment boundaries.

Run agents on infrastructure you control.

Start with one team, then standardize agent workflows without giving up control of code, credentials, or inference.

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