Who should use reproducible-trajectories?

reproducible-trajectories is an open-source project built for ai researchers.

What platforms does reproducible-trajectories run on?

reproducible-trajectories runs on the web and the command line.

Is reproducible-trajectories still active?

The GitHub repository shows 29 commits in the last 90 days.

Who develops reproducible-trajectories?

reproducible-trajectories is developed by ASSERT-KTH.

How long has reproducible-trajectories been around?

reproducible-trajectories first shipped in 2026.

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reproducible-trajectories

Name: reproducible-trajectories
Author: ASSERT-KTH

github.comInfrastructure

reproducible-trajectories is an open-source CLI tool designed for AI researchers to capture, analyze, and verify the trajectories of AI coding agents. It helps ensure reproducibility and provides insights into agent behaviors during code generation tasks.

Open SourceMITWebCLI

Visit github.com

6stars

2forks

5features

2026since

Overview

5 features

reproducible-trajectories is a LLM eval & observability project. It focuses on ensuring reproducibility and analysis of AI coding agent behaviors and trajectories. It is built as an open-source project for ai researchers. reproducible-trajectories is open source under the MIT license. It ships for the web and the command line.

ASSERT-KTH builds and maintains reproducible-trajectories, and it first shipped in 2026. The project is developed in the open on GitHub with 29 commits in the last 90 days. Key capabilities include trajectory capture, analysis tools, and verification tools.

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

Trajectory capture
Analysis tools
Verification tools
CLI interface
AI agent support

Built with & integrations

Runs on

BrowserCLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 6Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed25 Jun · 16:19 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about reproducible-trajectories

What does reproducible-trajectories do?: Reproducible-trajectories focuses on ensuring reproducibility and analysis of AI coding agent behaviors and trajectories. It is catalogued under LLM eval & observability on PulseGate.
Who should use reproducible-trajectories?: reproducible-trajectories is an open-source project built for ai researchers.
Does reproducible-trajectories have a free plan?: Yes — reproducible-trajectories is open source under the MIT license and free to use.
What platforms does reproducible-trajectories run on?: reproducible-trajectories runs on the web and the command line.
Is reproducible-trajectories still active?: The GitHub repository shows 29 commits in the last 90 days.
Who develops reproducible-trajectories?: reproducible-trajectories is developed by ASSERT-KTH.
How long has reproducible-trajectories been around?: reproducible-trajectories first shipped in 2026.
Is reproducible-trajectories open source?: Yes — reproducible-trajectories is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 6
License: MIT
Built for: ai researchers
Model: Open source
Solves: Ensuring reproducibility and analysis of AI coding agent behaviors and trajectories.

Registered as

GitHub: ASSERT-KTH/reproducible-trajectories
PyPI: reproducible-trajectories

Developer

ASSERT-KTH

Small team

GitHub

Open source

View on GitHub

Stars: 6
Forks: 2
Open issues: 8
Last commit: 25 Jun 2026
Commits 90d: 29
Contributors: 3
Authorship: Small team
Default branch: main

Index record

Identity confidence: Low · 64
Indexed: 25 Jun 2026
Lifecycle: Alive
Last seen: 25 Jun 2026

Identity audit (12)

Slug: reproducible-trajectories-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 25 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
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.
Canonical URL: https://github.com/ASSERT-KTH/reproducible-trajectories

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