Who is constraintloop for?

constraintloop is an open-source project built for AI agent developers.

Is constraintloop free?

Yes — constraintloop is open source under the MIT license and free to use.

What platforms does constraintloop run on?

constraintloop runs on the command line. It can also be self-hosted.

Is constraintloop still active?

The GitHub repository shows 8 commits in the last 90 days.

What are alternatives to constraintloop?

Similar projects tracked by PulseGate include ase-python, OpenCode Data, and COHESION.

Who develops constraintloop?

constraintloop is developed by mauhpr.

When did constraintloop launch?

constraintloop first shipped in 2026.

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constraintloop

Name: constraintloop
Author: mauhpr

PyPIInfrastructure

constraintloop implements evidence-based completion gates and quality checks for autonomous AI coding agents. It provides hooks and testing mechanisms that evaluate whether generated code meets predefined standards before considering a task complete. Designed for developers building or using AI agent frameworks that require reliable, verifiable stopping conditions.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

4 features

In the LLM eval & observability space, constraintloop takes a focused approach. It focuses on determining when an AI coding agent has truly completed a task with sufficient quality and evidence. constraintloop is an open-source project aimed at AI agent developers. constraintloop is open source under the MIT license. constraintloop is available on the command line, and it can be self-hosted.

It is developed by mauhpr, and it first shipped in 2026. The project is developed in the open on GitHub with 8 commits in the last 90 days. Key capabilities include completion gates, quality gates, and evidence-based testing.

Summary written by a language model from the project’s public pages.

Completion gates
Quality gates
Evidence-based testing
AI agent hooks

Built with & integrations

AI providers

anthropicopenai

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed30 Jul · 00:54 UTC
constraintloop verified against its public source
Source: PulseGate · Open

Frequently asked questions about constraintloop

What does constraintloop do?: Constraintloop focuses on determining when an AI coding agent has truly completed a task with sufficient quality and evidence. It is catalogued under LLM eval & observability on PulseGate.
Who is constraintloop for?: constraintloop is an open-source project built for AI agent developers.
Is constraintloop free?: Yes — constraintloop is open source under the MIT license and free to use.
What platforms does constraintloop run on?: constraintloop runs on the command line. It can also be self-hosted.
Is constraintloop still active?: The GitHub repository shows 8 commits in the last 90 days.
What are alternatives to constraintloop?: Similar projects tracked by PulseGate include ase-python, OpenCode Data, and COHESION.ase-python OpenCode Data COHESION
Who develops constraintloop?: constraintloop is developed by mauhpr.
When did constraintloop launch?: constraintloop first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 30 Jul 2026
Built for: AI agent developers
Model: Open source
Solves: Determining when an AI coding agent has truly completed a task with sufficient quality and evidence.

Registered as

GitHub: mauhpr/constraintloop
PyPI: constraintloop

Developer

mauhpr

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 5
Last commit: 30 Jul 2026
Commits 90d: 8
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.1.0 · 30 Jul 2026

Live coverage

Identity confidence: Low · 64
Indexed: 30 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 30 Jul 2026

Identity audit (13)

Slug: constraintloop-pypi-org
Lifecycle state recorded: 30 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 30 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 3 Aug 2026
Canonical URL: https://pypi.org/project/constraintloop

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