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CommunityTools & Integrations419 starsVerified 2026-09-20

Foreman

A Python asyncio runtime that puts Jev in a supervision loop above Codex or OpenCode workers: it judges completion, test sufficiency, and stuck loops, then steers, retries, or stops the job.

Category
Tools & Integrations
Published by
Community
Author
thruwire
Added
2026-09-20
Tagscommunitypythoncoding-agentorchestrationcli

Highlights

  • Two concurrent asyncio loops: a Codex or OpenCode worker and a debounced Jev supervision loop.
  • Ten factory judgments per call, including implementation_complete, tests_sufficient, and worker_stuck.
  • The Codex App Server backend supports live steering into an in-flight turn; OpenCode degrades to stop and retry.
  • The offline test suite needs no credentials, network, or external repository.

Watch out

An architectural experiment rather than production software; real runs need a TypeSafe API key plus the Codex CLI or OpenCode.

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From the community

Posts from builders shipping with Jev right now.

Classifying 1,500 real emails

this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

Fast browser use with Stagehand

we built blazing fast computer/browser use with Jev + @Stagehanddev. this task cost $0.001 and executed at near instant speed (in a remote browser btw) the loop: observe the page, send a11y tree as state + actions as questions, Jev decides the next action, then Stagehand Show more

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply