Who is trace-eval for?

trace-eval is an open-source project built for AI developers and researchers evaluating agent performance.

Yes — trace-eval is open source under the MIT license and free to use.

What platforms does trace-eval run on?

trace-eval runs on the command line.

Is trace-eval still maintained?

The GitHub repository shows 36 commits in the last 90 days.

What projects are similar to trace-eval?

Similar projects tracked by PulseGate include agent-eval, trajex, and traceval.

Who develops trace-eval?

trace-eval is developed by kin0kaze23.

When did trace-eval launch?

trace-eval first shipped in 2026.

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trace-eval

Name: trace-eval
Author: kin0kaze23

github.comInfrastructure

trace-eval is an open-source CLI tool designed for deterministic evaluation of AI agent traces. It helps AI developers and researchers analyze and validate agent behaviors and outputs in a reproducible manner.

Open SourceMITCLI

Visit github.com

Overview

4 features

In the LLM eval & observability space, trace-eval takes a focused approach. It focuses on enabling deterministic evaluation and analysis of AI agent traces for developers and researchers. It is built as an open-source project for AI developers and researchers evaluating agent performance. trace-eval is open source under the MIT license. trace-eval is available on the command line.

Behind trace-eval is kin0kaze23, and it first shipped in 2026. Development happens publicly on GitHub with 36 commits in the last 90 days. Among its 4 catalogued features are AI trace evaluation, deterministic analysis, and CLI interface.

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

AI trace evaluation
Deterministic analysis
CLI interface
Open source

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 20:10 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about trace-eval

What does trace-eval do?: Trace-eval focuses on enabling deterministic evaluation and analysis of AI agent traces for developers and researchers. It is catalogued under LLM eval & observability on PulseGate.
Who is trace-eval for?: trace-eval is an open-source project built for AI developers and researchers evaluating agent performance.
Is trace-eval free?: Yes — trace-eval is open source under the MIT license and free to use.
What platforms does trace-eval run on?: trace-eval runs on the command line.
Is trace-eval still maintained?: The GitHub repository shows 36 commits in the last 90 days.
What projects are similar to trace-eval?: Similar projects tracked by PulseGate include agent-eval, trajex, and traceval.agent-eval trajex traceval
Who develops trace-eval?: trace-eval is developed by kin0kaze23.
When did trace-eval launch?: trace-eval first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: AI developers and researchers evaluating agent performance
Model: Open source
Solves: Enabling deterministic evaluation and analysis of AI agent traces for developers and researchers.

Registered as

GitHub: kin0kaze23/trace-eval
PyPI: trace-eval

Developer

kin0kaze23

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 1
Last commit: 28 Apr 2026
Commits 90d: 36
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.5.0 · 19 Apr 2026

Index record

Identity confidence: Low · 64
Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: trace-eval-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: 27 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/kin0kaze23/trace-eval

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