Also named Djaevin, it is described as a calibrated, local-first decision layer with a Devin ACP backend. It answers with calibrated judgements and is packaged as an MCP server that needs no API key.

What does 'no API key needed' mean here?

The repository description states the layer needs no API key because it uses a Devin ACP backend instead of a hosted model endpoint. The README excerpt in the digest stops at the badge row, so how that backend is configured is not documented here.

The README carries a PyPI badge pointing to poordjaevin, so the package is published there; the digest does not capture an install command or requirements, so version constraints and the Python version are unverified.

Yes — it appears in the official MCP Registry per the README badge, is claimed on Glama, and its topics include mcp, mcp-server and model-context-protocol. The tools exposed by the server are not listed in the captured text.

How is it related to Jev or System One?

It occupies the same decision-layer space: calibrated, local-first judgements rather than generated text, with conformal prediction and NLI among its listed topics. The digest does not show any direct statement about Jev, System One or TypeSafe in the README text.

Who built it and what state is it in?

Icaro0310 built it. Metadata: Python, MIT, 6 stars, created 2026-10-02 and pushed 2026-10-17. Badges show a tests workflow, OpenSSF Scorecard and OpenSSF Best Practices, so the project runs CI.

What can't I learn from the digest about this project?

The captured README text is just the opening badge block, so there are no details on the API surface, install steps, performance or accuracy of its calibration, or what Devin ACP means in practice. Read the live README before relying on it.

Jev directory

CommunityJev Agents & MCP

Djaevin (devin-judge)

Djaevin, a calibrated, local-first decision layer from Icaro0310 that runs behind a Devin ACP backend with no API key. It ships as an MCP server published in the official MCP Registry and installs from PyPI as poordjaevin; the repo topics name calibration, conformal prediction and NLI.

See highlights Open github.com

Stars: 6
Language: Python
License: MIT
Reading time: 2 min
Published by: Community
Author: icaro0310
Last verified: Oct 2026

icaro0310/devin-judge

User repository on GitHub

View on GitHub

Djævin: calibrated local-first decision layer with a Devin ACP backend - no API key needed

Forks: 0
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

Tagscommunity github python mcp local

Works forJev for Decision gating Jev for Verification

Used inJev for Software & DevTools

Languages: Python
Platforms: MCP
Capabilities: Open sourceRuns locally

Highlights

Calibrated, local-first decision layer whose description says no API key is needed.
Backed by a Devin ACP backend rather than a hosted model API.
Ships as an MCP server; the README carries a badge for the official MCP Registry and a Glama claim.
Repository topics include conformal-prediction, calibration, nli, guardrails, local-first and hacktoberfest.
PyPI package poordjaevin; MIT licence; created 2026-10-02, pushed 2026-10-17.

Watch out

README reviewed 2026-10-17; the digest cuts the README off inside the badge block, so the feature list, install command, how the Devin ACP backend works and what the conformity layer does could not be read. Everything here comes from the repository description, topics, badges and GitHub metadata.

Questions about this entry

Short answers drawn from the linked project or page.

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Djaevin (devin-judge)

Highlights

Questions about this entry

What is devin-judge?

What does 'no API key needed' mean here?

How do I install it?

Is it an MCP server?