agentack is an open-source project built for AI agent developers and security engineers.

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

What platforms does agentack run on?

agentack runs on the command line. It can also be self-hosted.

Is agentack still active?

The GitHub repository shows 11 commits in the last 90 days.

What are alternatives to agentack?

Similar projects tracked by PulseGate include HumanAgent, agent-probe-ai, and agent-exam.

Who develops agentack?

agentack is developed by Sylvester Kaczmarek.

When did agentack launch?

agentack first shipped in 2026.

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agentack

Name: agentack
Author: Sylvester Kaczmarek

PyPIInfrastructure

Agentack is an MIT-licensed Python package for testing human approval controls in AI agents. It helps developers evaluate agentic security workflows and verify that approval gates operate as intended.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

4 features

In the Frameworks & runtimes space, agentack takes a focused approach. It focuses on testing whether human approval controls for AI agents reliably prevent unauthorized actions. It is built as an open-source project for AI agent developers and security engineers. agentack is open source under the MIT license. agentack is available on the command line, and it can be self-hosted.

It is developed by Sylvester Kaczmarek, and it first shipped in 2026. Development happens publicly on GitHub with 11 commits in the last 90 days. Key capabilities include approval controls, human-in-the-loop testing, and agent security testing.

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

Approval controls
Human-in-the-loop testing
Agent security testing
Approval workflow evaluation

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed19 Aug · 15:17 UTC
agentack verified against its public source
Source: PulseGate · Open

Frequently asked questions about agentack

What does agentack do?: Agentack focuses on testing whether human approval controls for AI agents reliably prevent unauthorized actions. It is catalogued under Frameworks & runtimes on PulseGate.
Who is agentack for?: agentack is an open-source project built for AI agent developers and security engineers.
Is agentack free?: Yes — agentack is open source under the MIT license and free to use.
What platforms does agentack run on?: agentack runs on the command line. It can also be self-hosted.
Is agentack still active?: The GitHub repository shows 11 commits in the last 90 days.
What are alternatives to agentack?: Similar projects tracked by PulseGate include HumanAgent, agent-probe-ai, and agent-exam.HumanAgent agent-probe-ai agent-exam
Who develops agentack?: agentack is developed by Sylvester Kaczmarek.
When did agentack launch?: agentack first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 19 Aug 2026
Built for: AI agent developers and security engineers
Model: Open source
Solves: Testing whether human approval controls for AI agents reliably prevent unauthorized actions.

Registered as

GitHub: sylvesterkaczmarek/agentack
PyPI: agentack

Developer

Sylvester Kaczmarek

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 19 Aug 2026
Commits 90d: 11
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.6.0 · 19 Aug 2026

Index record

Identity confidence: Low · 64
Indexed: 19 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 19 Aug 2026

Identity audit (13)

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

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