Who is ghostspan for?

ghostspan is an open-source project built for AI engineers and observability specialists.

Does ghostspan have a free plan?

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

What platforms does ghostspan run on?

ghostspan runs on the command line.

Is ghostspan still maintained?

The GitHub repository shows 3 commits in the last 90 days.

What projects are similar to ghostspan?

Similar projects tracked by PulseGate include constraintloop, trajectory-judge, and DeFake.

ghostspan is developed by meshailabs-org.

When did ghostspan launch?

ghostspan first shipped in 2026.

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ghostspan

Name: ghostspan
Author: meshailabs-org

PyPIInfrastructure

ghostspan is an open-source CLI tool designed to scan and detect silent failures in OpenTelemetry (OTel) and Langfuse AI agent trace exports. It operates locally and offline, helping AI engineers and observability specialists identify issues in agent workflows for improved reliability.

Open SourceMITCLI

Visit PyPI

Overview

6 features

ghostspan is a LLM eval & observability project. It focuses on detecting silent failures in AI agent trace exports for improved observability and debugging. It is built as an open-source project for AI engineers and observability specialists. ghostspan is open source under the MIT license. It runs on the command line.

Behind ghostspan is meshailabs-org, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Key capabilities include silent failure detection, OTel trace scanning, and langfuse support.

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

Silent failure detection
OTel trace scanning
Langfuse support
Offline operation
AI agent observability
Local analysis

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed19 Jul · 18:01 UTC
ghostspan verified against its public source
Source: PulseGate · Open

Frequently asked questions about ghostspan

What is ghostspan?: Ghostspan focuses on detecting silent failures in AI agent trace exports for improved observability and debugging. It is catalogued under LLM eval & observability on PulseGate.
Who is ghostspan for?: ghostspan is an open-source project built for AI engineers and observability specialists.
Does ghostspan have a free plan?: Yes — ghostspan is open source under the MIT license and free to use.
What platforms does ghostspan run on?: ghostspan runs on the command line.
Is ghostspan still maintained?: The GitHub repository shows 3 commits in the last 90 days.
What projects are similar to ghostspan?: Similar projects tracked by PulseGate include constraintloop, trajectory-judge, and DeFake.constraintloop trajectory-judge DeFake
Who makes ghostspan?: ghostspan is developed by meshailabs-org.
When did ghostspan launch?: ghostspan first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 19 Jul 2026
Built for: AI engineers and observability specialists
Model: Open source
Solves: Detecting silent failures in AI agent trace exports for improved observability and debugging.

Registered as

GitHub: meshailabs-org/ghostspan
PyPI: ghostspan

Developer

meshailabs-org

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 1
Last commit: 19 Jul 2026
Commits 90d: 3
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.1.0 · 19 Jul 2026

Live coverage

Identity confidence: Low · 64
Indexed: 19 Jul 2026
Lifecycle: Unverified
First seen: Jul 2026
Last seen: 19 Jul 2026

Identity audit (12)

Slug: ghostspan-pypi-org
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 19 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: 19 Jul 2026
Canonical URL: https://pypi.org/project/ghostspan

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