not-a-problem
Open source · 2026

omashiki: work delegated to AI agents, with control and review

Open-source platform that takes tasks, runs each one with AI agents in an isolated environment, and returns a result ready for review.

Area
IT

01The problem

Routine tasks, like fixing an issue, updating several repositories, or putting together a report, are either done by hand or handed to AI tools with no control over access, secrets, or traceability.

Overview

How the solution works

People Engineeringteams delegate tasks AI agents do the work Reviewers accept the result Inputs Task from tracker orschedule Access rules what each agent mayuse Outcomes Reviewable result branch or bundle Record of what was done Process 01 Receive task 02 Queue 03 Run isolated 04 Check secrets 05 Hand over forreview Solution Durable queue Isolated environment Secret scanning Signed notices
  1. 01
    Receive taskEngineering teams · delegate tasks
  2. 02
    Queue
  3. 03
    Run isolatedAI agents · do the work
  4. 04
    Check secrets
  5. 05
    Hand over for reviewReviewers · accept the result
SolutionDurable queueIsolated environmentSecret scanningSigned notices

02What we did

We built an execution layer that takes tasks from trackers, schedules, forms, or other agents, puts each one in a durable queue, and runs it in an isolated environment. The result comes back in a reviewable form, such as a branch, a verified file bundle, or a completion record, with a leaked-secret check and a signed notice when it finishes.

03What it changes

Engineering and operations teams can delegate routine work to AI agents knowing what each one accessed, and review everything before accepting it. It works from a laptop to a shared pool of machines.

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