I Stopped Coding For 6 Weeks. My AI Agents Shipped More When I Came Back Than In 6 Months Before.

GAAI is a Coding & Development tool that provides a governance framework for AI coding agents. It ensures reliable and predictable agentic systems through dual-track agents, persistent memory, and decision logging.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is I stopped coding for 6 weeks. My AI agents shipped more when I came back than in 6 months before.?

GAAI (Governed Agentic AI Infrastructure) is an open-source governance framework designed to enhance the reliability and productivity of AI coding agents. It operates through a .gaai/ folder at the project root, implementing four core layers: Dual-Track Agentic separation (one agent for discovery/thinking, another for delivery/execution), Skills (agents only execute authorized tasks), Rules (governing all actions), and Persistent Memory (agents recall past decisions). This framework prevents scope creep, unauthorized decisions, and ensures context is maintained across sessions, leading to more predictable and trustworthy AI-driven development. It has been proven to significantly increase code output and reduce AI drift, as demonstrated by its application in building the Callibrate AI expert matching marketplace.

Best used for

Ideal for developers who need to control AI coding agents, prevent architectural drift, and ensure consistent decision-making in their projects. Especially valuable for maintaining project integrity and accelerating software delivery with confidence, even with complex AI-driven systems.

Common actions

govern AI agents

manage AI coding

ensure AI reliability

track AI decisions

structure AI development

Capabilities

Key features

Dual-track agent separation
Persistent memory
Decision logging
Skill-based execution
Context-aware development
Prevents AI drift

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

FAQs

What is the core principle behind GAAI's dual-track agent system?

The dual-track system separates the 'thinking' (Discovery Agent) from the 'doing' (Delivery Agent). The Discovery Agent clarifies intent and defines tasks, while the Delivery Agent executes them. This prevents agents from making unauthorized architectural decisions or improving code outside their assigned scope.

How does GAAI prevent AI agents from forgetting past decisions or context?

GAAI implements a Persistent Memory layer. Every session starts with loaded context, ensuring agents are aware of previous decisions, project specifics, and established rules. This prevents repeated mistakes and re-litigating past choices, making the development process more efficient.

What role do 'Skills' play in the GAAI framework?

Skills define what each agent is authorized to do, preventing improvisation and scope creep. Agents only execute actions explicitly permitted by their assigned skills. This constraint, combined with the backlog authorizing execution, makes the entire AI-driven development system predictable and controlled.

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