garrytan/gstack

Features

• Browser Automation Agents - Controls headless and headed Chromium browsers for scraping, testing, and complex user flow automation.
• Autonomous QA Frameworks - Runs bug-fixing loops and regression tests on web apps and physical iOS devices to verify requirements.
• Agent Memory Maintenance - Provides automated processes to store and search project patterns and architectural decisions for future AI recommendations.
• Agent Memory Management - Indexes repository code into a searchable knowledge base and manages trust policies for AI agents.
• Agent Memory Stores - Provides persistent storage for agent plans and decisions to maintain context across different machines and sessions.
• Agent Persona Frameworks - Implements specialized AI personas to handle product interrogation, strategic reviews, and operational debugging.
• Multi-Agent Session Sharing - Enables multiple agents to operate in parallel using shared browser access and isolated tabs for simultaneous tasks.
• Agentic Context Management - Manages the ingestion and restoration of session context and brain caches to maintain continuity for autonomous agents.
• Agent Configurations - Uses declarative configuration objects to define agent personas and behaviors without modifying core code.
• Role-Based Agent Orchestration - Coordinates multiple agents by assigning specialized roles for design, engineering management, and quality assurance.
• Agent Technical Specifications - Generates structured technical specifications and dependency graphs to translate product requirements into actionable agent briefs.
• AI Agent Frameworks - Coordinates specialized AI personas to manage product design, engineering, and quality assurance.
• Development Lifecycle Management - Manages project memory, architectural decisions, and strategic reviews to maintain consistency across sessions.
• AI Development Workflows - Transforms product intent into technical specifications, implementation, and release documentation.
• Multi-Agent Orchestrators - Dispatches parallel sub-agents to perform concurrent technical checks like type-checking and linting.
• Semantic Search - Implements semantic search with call-graph traversal to find definitions and references based on conceptual meaning.
• Automated Generation - Generates and updates Diataxis-style guides and technical specifications by analyzing code diffs.
• Contextual Knowledge Indexers - Structures repository code into a persistent, searchable knowledge index to provide context-aware retrieval for agents.
• Semantic Code Indexing - Maps repository structures using semantic search and call-graph traversal for context-aware retrieval.
• State Checkpointing - Snapshots working state and rationale to enable full context recovery for long-running agentic workflows.
• Web Data Extraction - Programmatically scrapes and processes read-only web content with optimized routing for repeat requests.
• Web Data Extraction Tools - Extracts clean text, HTML, and structured metadata like JSON-LD from web pages into usable formats.
• Headless Browser Automation - Controls Chromium instances for web scraping, visual auditing, and automated browser testing.
• Project Strategy Refinement - Implements AI-driven project strategy refinement to prioritize features and define MVP scopes based on user empathy.
• USB-Tunnelling Device Control - Exposes a secure HTTP interface to drive physical iOS devices for autonomous bug fixing and auditing.
• AI Security - Implements prompt injection detection, secret scanning, and directory restrictions to secure AI mutations.
• Agentic Session Persistence - Implements file-based persistence of agent task progress and state to allow work resumption across different sessions.
• Secret Detection - Scans outgoing commits for credentials to prevent the accidental exposure of sensitive tokens.
• Threat Detection - Scans user messages and tool outputs to detect and block prompt injection attacks.
• Architecture Decision Records - Logs architectural choices and project rationale in an append-only format to preserve institutional memory.
• End-to-End Feature Delivery - Chains project understanding, planning, implementation, and pull request creation into a single automated workflow.
• Lifecycle Automation - Executes a sequenced workflow covering interrogation, strategic review, planning, building, testing, and shipping.
• QA - Automates the entire cycle of detecting bugs, implementing fixes via atomic commits, and generating regression tests.
• Product Requirements Generation - Synthesizes conversation and context into formal product requirement documents to identify high-impact opportunities.
• Architectural Validations - Validates data flow and architectural edge cases to uncover hidden assumptions before implementation begins.
• Strategic Planning Workflows - Provides strategic planning workflows that use specialized personas to challenge product framing before implementation.
• Implementation Planning - Provides AI-assisted technical plan reviews to identify logical gaps, feasibility risks, and scope issues.
• Technical Foundation Reviews - Analyzes architecture and data flow using diagrams and test matrices to establish a robust technical foundation.
• Autonomous QA Systems - Drives real iOS devices and web browsers to autonomously identify bugs and create regression tests.
• Automated Code Review - Analyzes pull requests to identify production bugs and integrates feedback from external AI models.
• Multi-Disciplinary Review Workflows - Provides automated multi-disciplinary review workflows using specialized AI personas to refine product and design decisions.
• Automated Regression Verification - Triggers test suites upon code changes to detect regressions and automatically generates new tests for fixes.
• Browser Automation Testing - Controls headless Chromium instances to navigate pages and verify application state for automated testing.
• Browser Session Persistence - Implements a long-lived headless Chromium daemon to preserve cookies and login state across separate tool invocations.
• Headless Browsers - Operates stealth browsers with anti-bot capabilities to execute web automation via natural language commands.
• Web Automation and Scraping - Extracts structured data, media, and network responses using a headless browser and custom scripts.
• Browser Interaction Actions - Performs fundamental browser actions including clicking, filling inputs, hovering, and handling dialog alerts.
• Browser Navigation - Manages movement between URLs and loads local files while synchronizing with page states and network idleness.
• AI-Driven Navigation - Launches stealth browsers with integrated agents for deterministic navigation, data extraction, and screenshot capture.
• Headless Browser Orchestrators - Maintains a long-lived Chromium daemon to preserve session state and cookies across tool invocations.
• Agent Access Controls - Enforces role-based access policies to control whether AI agents can search or modify repository memory.
• Tooling Adapters - Rewrites tool names and applies adapter logic to map generic instructions to specific tool semantics.
• Shared Browser Sessions - Shares a browser session across various agents and manages parallel execution of roles in isolated workspaces.
• Agentic Web Browsing - Controls a persistent Chromium daemon to inspect UI states, authentication flows, and console errors in real time.
• Skill Distribution Frameworks - Uploads hand-crafted methodology skills to a public hub for distribution and installation by other users.
• Cross-Model Verification - Cross-references code reviews between different AI models to identify bugs a single model might miss.
• Planning Discipline Enforcers - Ensures the drafting of structured plans and resolution of ambiguities before technical execution.
• Vector Databases - Automates the provisioning and configuration of vector databases to support agent semantic retrieval and memory.
• Visual State Capture - Captures screenshots and accessibility-tree snapshots of physical devices to create deterministic test fixtures for AI reasoning.
• Development and Code Tools - Provides a collection of opinionated tools and personas for automating the software development lifecycle.
• Documentation Generators - Automatically generates technical tutorials and guides by analyzing the codebase and mapping its public surface.
• Project Documentation - Generates Diataxis-style project documentation and updates it to match the latest shipped code.
• Agent Preference Settings - Learns developer risk tolerance and detail preferences to automate decision-making through a tuning skill.
• Skill Discovery - Injects available host-specific skills into session prompts so agents can automatically invoke them.
• AI-Generated Code Analysis - Scans source code to identify patterns where AI-generated code quality is lower than human code.
• Developer Experience - Benchmarks time-to-hello-world and identifies friction points to optimize developer onboarding.
• Real-Time Control Interfaces - Provides a live terminal and CSS inspector to direct and observe a headless browser in real-time.
• Live Environment QA - Executes a find-fix-verify loop on real devices or local environments to resolve bugs.
• Checkpointing Systems - Tracks incremental work through auto-commits with structured context to facilitate seamless restoration after context switches.
• Release Management - Automates the transition from branch to pull request by syncing with main and updating changelogs.
• Skill Generation - Automatically extracts recurring multi-step interaction patterns into reusable automation skills with confirmation gates.
• AI-Driven Documentation Synthesis - Reads the codebase to autonomously author technical documentation for entities with identified coverage gaps.
• Intent-Based Script Generation - Codifies successful page interaction sequences into reusable, deterministic scripts that execute by intent.
• Visual Design Tools - Performs live-site visual audits and iterates on UI components via AI design variants.
• Workstream Management - Saves and restores independent context lanes to allow users to resume different parts of a project plan.
• Deployment Management - Orchestrates the deployment lifecycle by merging approved PRs and monitoring CI/CD completion and canary checks.
• Documentation Automation - Automatically updates READMEs and architecture files by cross-referencing codebase changes with existing documentation.
• Persona-Based Validation Gauntlets - Forces sequential validation through product, design, and engineering personas before transitioning to implementation.
• Release Automation - Manages production transitions by auditing documentation, verifying test coverage, and creating pull requests.
• Documentation Automators - Triggers automated documentation update workflows upon pull request creation to keep release notes current.
• Design Auditing - Screenshots real iPhone displays to score typography and spacing against a design rubric.
• Command Restrictions - Prevents accidental repository damage by checking bash commands against dangerous patterns.
• Browser Session Authentication - Decrypts and imports authenticated cookies from local browsers into headless sessions for testing.
• Remote Access Security - Restricts remote device control via tiered capabilities and identity-based allowlists to secure hardware access.
• Security and Quality Probes - Probes codebases for security vulnerabilities and quality issues using dedicated analysis dashboards.
• Security Auditing - Performs multi-phase security audits covering attack surfaces, dependency CVEs, and top-tier threats.
• Exploit Scenario Modeling - Analyzes projects against security frameworks to identify concrete exploit scenarios and vulnerabilities.
• File System Access Controls - Implements granular permissions to restrict AI agent write operations to specific directories.
• Path Access Restrictions - Enforces directory-level locking using path access restrictions to prevent accidental data loss during AI edits.
• Sensitive Data Access Controls - Enforces access policies to block credentials and PII from being sent to external APIs.
• Automatic Redaction - Automatically detects and redacts PII and legal content from data before external transmission.
• Threat Modeling - Implements threat modeling methodologies to identify injection vulnerabilities and broken access controls.
• Structural Code Audits - Performs structural audits to identify complex race conditions and broken invariants that pass standard tests.
• Complexity-Based Routers - Assigns operational tiers and prompt contexts based on the complexity and scope of the request.
• Git Repository Synchronizers - Uses private repositories to synchronize agent memories and session checkpoints across machines.
• Memory Synchronizers - Uses private git repositories to synchronize secret-scanned agent memories and artifacts across environments.
• User Experience Design - Rates design dimensions and identifies quality issues to improve interface interaction.
• Interaction Design Auditing - Evaluates technical plans for interaction states and accessibility gaps before implementation begins.
• Human-in-the-Loop Browser Sync - Launches a headed Chromium instance to watch AI actions in real time and allow human takeover.
• Remote Hardware Controls - Exposes a secure HTTP interface to allow remote agents to drive physical hardware devices.
• Root Cause Analysis - Traces data flow and tests hypotheses to diagnose and identify the primary cause of software bugs.
• Accessibility-Tree Addressing - Maps page elements to short identifiers using ARIA trees, allowing agents to interact without fragile CSS selectors.
• Autonomous Device Bug Fixing - Deno Agent drives real iPhones over USB to perform autonomous bug fixing against design rubrics.
• iOS - Drives physical iOS devices via USB tunnels to execute autonomous find-fix-verify loops for application testing.
• Visual Regression Testing - Captures and annotates screenshots of preview deployments to catch layout regressions.
• Design Generators - Automatically generates and refines AI mockup variants based on visual feedback.
• Design System Generators - Guides the creation of comprehensive design systems including typography and color palettes.
• Code Generation - Transforms design mockups into production-ready HTML and CSS with dynamic layouts.
• Visual Auditing - Scans live sites for design inconsistencies and automatically applies CSS fixes.
• UI Design Tools - Generates high-fidelity UI variants and provides comparison boards for iterative feedback.
• ARIA-Tree Mapping - Translates complex DOM structures into simplified accessibility trees for agent interaction without CSS selectors.
• Browser Batch Processors - Sends multiple browser instructions in a single request to eliminate round-trip latency for remote agents.
• Instruction Chaining - Executes sequences of browser instructions via JSON arrays to perform complex, multi-step user flows.
• Workflow Codification - Synthesizes interaction prototypes into permanent, testable scripts on disk to automate repetitive tasks.
• Browser Identity Automation - Manages browser identity by importing cookies and setting custom headers to bypass bot detection.
• JavaScript Execution Bridges - Runs inline expressions or external JavaScript files within the page context to manipulate state or retrieve data.
• Browser Session Management - Connects to active browser sessions using existing cookies and state to operate within real user environments.
• Secure Command Tunneling - Exposes a restricted subset of browser commands through a secure tunnel for remote pairing.
• Browser Isolation Strategies - Creates independent browser instances with isolated cookies and storage to test different user roles in parallel.
• Browser Snapshotting Systems - Generates accessibility trees with unique references to identify and interact with web page components.
• Visual Browser Monitoring - Observes user browsing in a passive read-only mode using periodic snapshots for visual auditing.
• Agent Skills - Collection of skills to transform agents into specialized expert teams.
• Agentic Development Frameworks - Integrated stack for streamlining agentic development and deployment.
• Agentic Tooling - Integrated stack for managing AI-driven development workflows.
• AI Skills - Tool set for CEO-level development and review workflows.
• Development and Engineering - Recommend infrastructure and deployment stacks.
• Specialized Domain Skills - Startup advisory and business strategy guidance from industry experts.

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