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Evidence checked
Oct 21, 2026

Overview

As engineering teams write code faster using AI generation tools, repositories frequently suffer from architectural drift, broken conventions, and untracked dependencies. Hyrax acts as an AI codebase architect and governance platform designed to solve this exact bottleneck. By connecting directly to your repositories, the platform maps system boundaries, services, dependencies, and risks, establishing a shared architectural baseline directly inside your version control system rather than in an isolated external dashboard. Evaluation is handled by six specialized agents targeting security, correctness, maintainability, performance, architecture, and operations. Instead of burying developers under noisy linting alerts, Hyrax synthesizes high-leverage findings into verified, review-ready pull requests that your team can inspect and merge with confidence. Hyrax stands out by making architectural knowledge persistent and self-reinforcing. Every merged pull request updates the in-repo context files (HYRAX.md and .hyrax/discovery), ensuring that subsequent changes—whether drafted by human engineers or AI coding assistants—build upon accurate, up-to-date system intelligence.

Hyrax Screenshots & Demo

Hyrax screenshot

Task evidence

What this tool helps you accomplish

These tasks are derived from source evidence and verified capabilities, not category labels.

Evidence verified

Last verified: 2026-10-14

Hyrax 's Core features

01

In-Repo Codebase Mapping

Discovers services, dependencies, boundaries, conventions, and risks, storing living context in HYRAX.md and .hyrax/discovery so both engineers and AI tools work from identical architecture data.

02

Six Specialized Evaluation Agents

Analyzes your repository across security, correctness, maintainability, performance, architecture, and operations, providing thorough oversight without conflicting review advice.

03

Verified Pull Request Generation

Translates high-impact architectural and quality findings into verified, review-ready pull requests that teams can inspect, approve, and merge directly.

04

Continuous Context Learning

Automatically refreshes repository discovery files with every merged pull request, ensuring future development workflows operate on updated system context.

How to use Hyrax

  1. Connect your GitHub repository to Hyrax to trigger automated initial codebase discovery across your project.
  2. Allow Hyrax to map your services, dependencies, architectural boundaries, conventions, and operational risks directly inside the repo.
  3. Review findings generated by six specialized agents evaluating security, correctness, maintainability, performance, architecture, and operations.
  4. Inspect verified pull requests created by Hyrax targeting the highest-leverage improvements across your codebase.
  5. Merge approved pull requests to automatically update HYRAX.md and .hyrax/discovery context for future human and AI contributors.

Use cases of Hyrax

01

FinTech Code Governance

Engineering teams enforce strict financial standards and compliance-ready governance across repositories without slowing down rapid AI-assisted development cycles.

02

HealthTech Security Auditing

DevSecOps and developers conduct HIPAA-aware security evaluations to isolate vulnerabilities and verify strict system boundaries in healthcare software.

03

E-Commerce Checkout Protection

Online retailers evaluate critical payment and checkout architectures to protect sensitive transaction paths and preserve established code conventions.

04

SaaS Multi-Tenant Management

Software teams safeguard multi-tenant architectural standards, system boundaries, and performance patterns across rapidly evolving application repositories.

Who benefits from Hyrax

01

Engineering Leads and CTOs

Leaders who need high-level architectural oversight, strict governance, and uniform engineering standards across AI-native development organizations.

02

Security and DevSecOps Teams

Specialists looking to automate deep repository reviews for security risks, operational vulnerabilities, and compliance boundaries.

03

Platform Engineers

Engineers tasked with curating system boundaries, service maps, and shared codebase context for both human developers and AI tools.

04

Software Engineers

Developers using AI assistants who want verified, ready-to-merge pull requests and clear structural context without manual architectural overhead.

Pricing of Hyrax

Offers a 'Start free' plan alongside documented pricing tiers.

Complementary tools for the workflow

These tools solve adjacent steps; they are not presented as lookalike products.

01

Orval

Analyze code repositories

Orval has verified evidence for generate code, an adjacent step to analyze code repositories. Claude Code inspects and understands the project structure and dependencies before writing code fixes or new features.

02

Ito AI

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Ito AI has verified evidence for test applications, a supporting step for review code changes. In AFK's workflow (such as /mint and release verification), building and testing are followed by adversarial self-review and diff analysis before shipping.

03

TestDriver

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TestDriver has verified evidence for test applications, a supporting step for review code changes. In AFK's workflow (such as /mint and release verification), building and testing are followed by adversarial self-review and diff analysis before shipping.

04

Shiplight AI

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Shiplight AI has verified evidence for test applications, a supporting step for review code changes. In AFK's workflow (such as /mint and release verification), building and testing are followed by adversarial self-review and diff analysis before shipping.

05

AgentMemory

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AgentMemory has verified evidence for manage agent context and memory, a supporting step for review code changes. The repo context and graph memory provided by Sverklo feed directly into diff-aware code review prompts and checks.

06

Memori

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Memori has verified evidence for manage agent context and memory, a supporting step for review code changes. The repo context and graph memory provided by Sverklo feed directly into diff-aware code review prompts and checks.

07

Overview

Review code changes

Overview has verified evidence for manage agent context and memory, a supporting step for review code changes. The repo context and graph memory provided by Sverklo feed directly into diff-aware code review prompts and checks.

08

Hiver

Review code changes

Hiver has verified evidence for automate workflows with agents, a supporting step for review code changes. Autonomous agents build and test features end-to-end for developers to review, including generating PRs for review.

09

PraisonAI

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PraisonAI has verified evidence for automate workflows with agents, a supporting step for review code changes. Autonomous agents build and test features end-to-end for developers to review, including generating PRs for review.

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