Product

The execution layer between AI agents and real tools.

Invoke gives agents one reliable path to execute actions across APIs, MCP servers, and internal systems without every team rebuilding retry glue, idempotency, approvals, and traces.

01

Agent chooses an action

Your agent decides to create an issue, refund a customer, update CRM, or post to Slack.

02

Invoke classifies the tool

The runtime checks scope, risk, idempotency, live state dependencies, and approval rules.

03

Messy outcomes get controlled

Timeouts, partial success, duplicate retries, and stale approvals are reconciled before another side effect lands.

04

The result comes back with proof

The agent gets a clean result. The team gets the trace, policy decision, and execution record.

What it controls

Reasoning is the agent's job. Execution is Invoke's job.

Frameworks help agents decide what to do. Invoke handles the production boundary where actions can fail, repeat, drift, or touch the wrong resource.

Execution API

One interface for agents to call real tools through policy, retries, approvals, and audit logs.

Tool safety classes

Mark tools as idempotent, write-once-checkable, irreversible, or approval-bound so Invoke can route behavior automatically.

Reconciliation before retry

When the outcome is unknown, Invoke checks source-of-truth state before allowing another call.

Agent traces

Every action gets a timeline your operators can inspect when the agent does something important.

State

verified before action

Retry

reconciled first

Trace

returned every run