Who is aegis-hooks for?

aegis-hooks is an open-source project built for AI developers building agentic systems.

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

What platforms does aegis-hooks run on?

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

Is aegis-hooks still maintained?

The GitHub repository shows 13 commits in the last 90 days.

Who develops aegis-hooks?

aegis-hooks is developed by Thepizzapie.

When did aegis-hooks launch?

aegis-hooks first shipped in 2026.

Is aegis-hooks open source?

Yes — aegis-hooks is open source under the Apache-2.0 license, developed on GitHub.

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aegis-hooks

Name: aegis-hooks
Author: Thepizzapie

PyPIInfrastructure

aegis-hooks is an open-source library that provides hooks-based enforcement and accountability for AI coding agents. It enables developers to implement security policies, guardrails, and auditing for LLM-powered agentic workflows. Designed for AI developers seeking to add robust policy enforcement to their agent systems.

Open SourceApache-2.0CLISelf-hosted

Visit PyPI

Overview

6 features

aegis-hooks is a Frameworks & SDKs project. It focuses on enforcing security and accountability policies for AI coding agents through hooks-based mechanisms. It is built as an open-source project for AI developers building agentic systems. aegis-hooks is open source under the Apache-2.0 license. It ships for the command line, and it can be self-hosted.

It is developed by Thepizzapie, and it first shipped in 2026. The project is developed in the open on GitHub with 13 commits in the last 90 days. Among its 6 catalogued features are hooks system, policy enforcement, and accountability logging.

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

Hooks system
Policy enforcement
Accountability logging
Security guardrails
Agent integration
Open source

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed2 Jul · 14:42 UTC
aegis-hooks verified against its public source
Source: PulseGate · Open

Frequently asked questions about aegis-hooks

What is aegis-hooks?: Aegis-hooks focuses on enforcing security and accountability policies for AI coding agents through hooks-based mechanisms. It is catalogued under Frameworks & SDKs on PulseGate.
Who is aegis-hooks for?: aegis-hooks is an open-source project built for AI developers building agentic systems.
Is aegis-hooks free?: Yes — aegis-hooks is open source under the Apache-2.0 license and free to use.
What platforms does aegis-hooks run on?: aegis-hooks runs on the command line. It can also be self-hosted.
Is aegis-hooks still maintained?: The GitHub repository shows 13 commits in the last 90 days.
Who develops aegis-hooks?: aegis-hooks is developed by Thepizzapie.
When did aegis-hooks launch?: aegis-hooks first shipped in 2026.
Is aegis-hooks open source?: Yes — aegis-hooks is open source under the Apache-2.0 license, developed on GitHub.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: Apache-2.0
First seen: 2 Jul 2026
Built for: AI developers building agentic systems
Model: Open source
Solves: Enforcing security and accountability policies for AI coding agents through hooks-based mechanisms.

Registered as

GitHub: Thepizzapie/AEGIS
PyPI: aegis-hooks

Developer

Thepizzapie

Small team

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 2 Jul 2026
Commits 90d: 13
Contributors: 3
Authorship: Small team
Default branch: main

Index record

Indexed: 2 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 2 Jul 2026

Identity audit (12)

Slug: aegis-hooks-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: 2 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/aegis-hooks

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