What does cortexops do?

Enabling developers to trace, monitor, and evaluate AI agent frameworks and LLM-based tools. It is catalogued under LLM eval & observability on PulseGate.

Who is cortexops for?

cortexops is an open-source project built for developers building and evaluating AI agent systems.

Does cortexops have a free plan?

Yes — cortexops is open source under the MIT License and free to use.

What platforms does cortexops run on?

cortexops runs on the command line.

Is cortexops still active?

The GitHub repository shows 114 commits in the last 90 days.

What projects are similar to cortexops?

Similar projects tracked by PulseGate include cortexe, codecortex, and cortxai.

Is cortexops open source?

Yes — cortexops is open source under the MIT License, developed on GitHub.

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cortexops

PyPIInfrastructure

cortexops is an open-source CLI platform for observability and evaluation of AI agent frameworks and LLM tools. It supports tracing, monitoring, and evaluation gating for popular agent libraries, helping developers ensure reliability and performance.

Open SourceMIT LicenseCLI

Visit PyPI

1star

1fork

5features

2026since

Overview

5 features

In the LLM eval & observability space, cortexops takes a focused approach. Enabling developers to trace, monitor, and evaluate AI agent frameworks and LLM-based tools. cortexops is an open-source project aimed at developers building and evaluating AI agent systems. The project is open source (MIT License). It runs on the command line.

cortexops first shipped in 2026. The project is developed in the open on GitHub with 114 commits in the last 90 days. Key capabilities include observability, evaluation gating, and tracing.

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

Observability
Evaluation gating
Tracing
Monitoring
Agent framework integration

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT License

Verified signals

HTTPSOpen Source GitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed5 Jul · 19:14 UTC
cortexops verified against its public source
Source: PulseGate · Open

Frequently asked questions about cortexops

What does cortexops do?: Enabling developers to trace, monitor, and evaluate AI agent frameworks and LLM-based tools. It is catalogued under LLM eval & observability on PulseGate.
Who is cortexops for?: cortexops is an open-source project built for developers building and evaluating AI agent systems.
Does cortexops have a free plan?: Yes — cortexops is open source under the MIT License and free to use.
What platforms does cortexops run on?: cortexops runs on the command line.
Is cortexops still active?: The GitHub repository shows 114 commits in the last 90 days.
What projects are similar to cortexops?: Similar projects tracked by PulseGate include cortexe, codecortex, and cortxai.cortexe codecortex cortxai
When did cortexops launch?: cortexops first shipped in 2026.
Is cortexops open source?: Yes — cortexops is open source under the MIT License, developed on GitHub.

At a glance

Platforms: CLI
Languages: English
Open source: Yes · ★ 1
License: MIT License
First seen: 5 Jul 2026
Built for: Developers building and evaluating AI agent systems
Model: Open source
Solves: Enabling developers to trace, monitor, and evaluate AI agent frameworks and LLM-based tools.

Registered as

GitHub: ashishodu2023/cortexops
PyPI: cortexops

Developer

Ashishodu2023

Small team

GitHub

Open source

View on GitHub

Stars: 1
Forks: 1
Open issues: 20
Last commit: 5 Jul 2026
Commits 90d: 114
Contributors: 3
Authorship: Small team
Default branch: main
Latest release: v0.5.0 · 5 Jul 2026

Index record

Indexed: 5 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 5 Jul 2026

Identity audit (12)

Slug: cortexops-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: 5 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.
Canonical URL: https://pypi.org/project/cortexops

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