03Architecture
01 / Requirement
A user provides a project requirement. Product and research agents ask targeted questions and develop a specification.
OPENING THE SYSTEM
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From requirement to production through autonomous engineering agents. A platform in development, built around persistent memory and human approval.
A planned supervisor-led engineering platform with Markdown project memory, specialist agents, test / repair loops and human approval gates.
Long-running AI engineering work needs coherent specifications, durable context, coordinated specialists and explicit review boundaries.
Coordinates specialists against shared specifications and persistent project memory.
Animated messages illustrate the proposed orchestration. AI Engineering OS is in development; this diagram is not a running agent platform.
A user provides a project requirement. Product and research agents ask targeted questions and develop a specification.
This project is in development. The architecture, stack and workflows describe intended capabilities, not a completed autonomous platform.
Project requirements, approved specifications, repository context, test feedback and persistent Markdown engineering memory.
Keep memory legible to humans. Separate specialist responsibilities while maintaining a supervisor’s view of the project. Require human approval at meaningful boundaries.
The proposed stack includes Python, FastAPI, Next.js, PostgreSQL, Redis, Docker, GitHub, Playwright, LLM APIs, MCP integrations, vector retrieval, sandboxed execution, CI/CD and observability.
Planned specialists cover product, research, architecture, frontend, backend, database, AI engineering, testing, security, DevOps and review. Animated messages on this page illustrate the proposed architecture.
Evaluate task completion, specification fidelity, repair-loop behaviour and approval enforcement on bounded engineering tasks. No benchmark results are available yet.
In development. No autonomous deployment, reliability, speed or production-usage claim is made.
Maintaining coherent context, resolving inter-agent dependencies, bounding tool permissions and avoiding false success in test / repair loops.
Persistent, reviewable memory should be part of the architecture from the beginning, rather than an afterthought to a conversation.
DISCUSS → SPECIFY → APPROVE → IMPLEMENT → TEST → REVIEW → APPROVE → NEXT FEATURE. The initial focus is an inspectable memory and approval workflow.
The repository link has not been published. Ask about the implementation