
See every coding-agent run, selected attempt, and branch lineage in one control plane from desktop or Slack.
Know what your coding agents are doing before it ships to prod.
Watch, pause, retry, approve. All from Desktop or Slack.

Track every run, branch, attempt, approval, and retry from one control surface. When work needs judgment, step in from the desktop or Slack.

See every coding-agent run, selected attempt, and branch lineage in one control plane from desktop or Slack.

Know which tasks are running, blocked, stale, failed, or waiting for review.

Inspect the branch, evidence, status, and selected output before anything reaches main.
Attach to a live terminal when work needs judgment, or approve and retry from Slack.

Manage worker capacity, PR status, CI repair, and disk headroom from one control surface.
Draft in Claude, submit to Invoker, and watch the workflow appear on the graph.
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inspect, redirect, and approve agent work
Agents can make mistakes. Don't let that hurt you. Know what happened.
Invoker is a workflow system, not a chat wrapper. You are in control, not AI. Our architecture does not permit AI to run wild. Save time, tokens, and money.
A plan captures the tasks, dependencies, prompts, commands, and review rules before work starts.
Invoker writes state before action, checks what is ready, and resumes through the same path after restarts.
Each attempt runs in isolation and reports its branch, logs, evidence, and outcome.
Human gates, merge checks, retries, and downstream updates keep shipped changes intentional.
The hard problem is not launching more agents. It is seeing what they did, recovering from partial failure, retrying through the same control path, and proving review happened before merge.
Invoker does not make agents responsible. It makes their work controllable: isolated attempts, one mutation path, explicit gates, and evidence reviewers can inspect.
The Invoker series covers why agentic software work needs durable state, explicit review boundaries, and execution discipline.

A walkthrough of Invoker as a persisted workflow engine for software work, from single-writer state to merge gates and review policy.

Why Invoker treats AI-driven engineering work as durable, inspectable execution instead of a transient agent conversation.
Invoker is for teams that want coding agents in the software delivery loop without losing review, control, or the execution trail.