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ai-team-framework

v0.2.0

Published

Documentation-driven AI agent team framework for generating software projects.

Readme

AI Team Framework

AI Team Framework is a documentation-first project for building a coordinated AI agent team that can eventually generate applications, homepages, admin systems, APIs, and related software artifacts through an npx command.

Current Focus

The project is currently defining:

  • Agent roles
  • Collaboration rules
  • Product direction
  • Architecture direction
  • Coding standards
  • Generation workflow
  • Reusable task templates

It also includes the first executable CLI skeleton and a Next.js + Tailwind CSS corporate homepage generator.

CLI Usage

After installing dependencies and building locally:

npm install
npm run build
node dist/cli.js create corporate-homepage demo-company-site --yes

Future npm usage:

npx ai-team-framework create corporate-homepage

The CLI collects project requirements, creates a structured project spec, applies the relevant generator, and writes project metadata into .ai-team/.

Document Map

  • AGENTS.md: Repository-level AI agent instructions.
  • memory/context.md: Project context and required reading order.
  • memory/current-state.md: Current state of the project.
  • docs/product/overview.md: Product vision and scope.
  • docs/product/cli-mvp.md: First CLI command and generator scope.
  • docs/architecture/system.md: System architecture.
  • docs/rules/coding-style.md: Coding rules.
  • docs/rules/git-commit-strategy.md: Commit, branch, and release automation strategy.
  • docs/rules/agent-contract.md: Shared agent behavior contract.
  • docs/agents/README.md: Agent team overview.
  • docs/workflows/generation-pipeline.md: Project generation workflow.
  • docs/templates/project-brief.md: Project brief template.
  • docs/templates/agent-task.md: Agent task template.

Agent Groups

  • Core agents define scope, orchestration, and architecture.
  • Delivery agents produce UX, frontend, backend, integration, and documentation output.
  • Quality agents verify QA, security, and release readiness.