Who should use agentegrity?

agentegrity is an open-source project built for ai researchers.

Yes — agentegrity is open source under the Apache-2.0 license and free to use.

What platforms does agentegrity run on?

agentegrity runs on the command line.

Is agentegrity still maintained?

The GitHub repository shows 135 commits in the last 90 days.

What are alternatives to agentegrity?

Similar projects tracked by PulseGate include agent-id-cli, agentu, and agentlint.

Who makes agentegrity?

agentegrity is developed by Cogensec.

How long has agentegrity been around?

agentegrity first shipped in 2026.

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agentegrity

Name: agentegrity
Author: Cogensec

PyPIInfrastructure

agentegrity is an open-source CLI tool and standard for evaluating, enforcing, and proving the integrity of autonomous AI agents. It helps AI researchers and developers ensure agents are adversarially coherent, portable, and verifiably assured for secure deployment.

Open SourceApache-2.0CLI

Visit PyPI

1star

5features

2026since

Overview

5 features

In the LLM eval & observability space, agentegrity takes a focused approach. It focuses on ensuring that autonomous AI agents are secure, portable, and verifiably trustworthy in adversarial environments. It is built as an open-source project for ai researchers. The project is open source (Apache-2.0). agentegrity is available on the command line.

It is developed by Cogensec, and it first shipped in 2026. Development happens publicly on GitHub with 135 commits in the last 90 days. Key capabilities include agent evaluation, integrity enforcement, and adversarial coherence checks.

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

Agent evaluation
Integrity enforcement
Adversarial coherence checks
Portability validation
CLI interface

Built with & integrations

Runs on

CLI

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed29 Jun · 08:08 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about agentegrity

What is agentegrity?: Agentegrity focuses on ensuring that autonomous AI agents are secure, portable, and verifiably trustworthy in adversarial environments. It is catalogued under LLM eval & observability on PulseGate.
Who should use agentegrity?: agentegrity is an open-source project built for ai researchers.
Is agentegrity free?: Yes — agentegrity is open source under the Apache-2.0 license and free to use.
What platforms does agentegrity run on?: agentegrity runs on the command line.
Is agentegrity still maintained?: The GitHub repository shows 135 commits in the last 90 days.
What are alternatives to agentegrity?: Similar projects tracked by PulseGate include agent-id-cli, agentu, and agentlint.agent-id-cli agentu agentlint
Who makes agentegrity?: agentegrity is developed by Cogensec.
How long has agentegrity been around?: agentegrity first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 1
License: Apache-2.0
Built for: ai researchers
Model: Open source
Solves: Ensuring that autonomous AI agents are secure, portable, and verifiably trustworthy in adversarial environments.

Registered as

GitHub: cogensec/agentegrity
PyPI: agentegrity

Developer

Cogensec

Small team

GitHub

Open source

View on GitHub

Stars: 1
Forks: 0
Open issues: 0
Last commit: 25 Jun 2026
Commits 90d: 135
Contributors: 2
Authorship: Small team
Default branch: main
Latest release: v0.8.0 · 23 Jun 2026

Index record

Identity confidence: Low · 64
Indexed: 29 Jun 2026
Lifecycle: Alive
Last seen: 29 Jun 2026

Identity audit (12)

Slug: agentegrity-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: 29 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://pypi.org/project/agentegrity

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