Gstack

gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases.

The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repository structures to maintain institutional memory across sessions.

Its capabilities extend to autonomous quality assurance, including the ability to drive physical iOS devices via USB for bug fixing and visual auditing. The system also covers automated technical documentation generation, security guardrails to prevent prompt injection and secret leakage, and the orchestration of multi-agent swarms for concurrent technical tasks.

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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