AutoGPT/autogpt_platform/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Repository Overview

AutoGPT Platform is a monorepo containing:

• Backend (backend): Python FastAPI server with async support
• Frontend (frontend): Next.js React application
• Shared Libraries (autogpt_libs): Common Python utilities

Component Documentation

• Backend: See @backend/CLAUDE.md for backend-specific commands, architecture, and development tasks
• Frontend: See @frontend/CLAUDE.md for frontend-specific commands, architecture, and development patterns

Key Concepts

1. Agent Graphs: Workflow definitions stored as JSON, executed by the backend
2. Blocks: Reusable components in backend/backend/blocks/ that perform specific tasks
3. Integrations: OAuth and API connections stored per user
4. Store: Marketplace for sharing agent templates
5. Virus Scanning: ClamAV integration for file upload security

Environment Configuration

Configuration Files

• Backend: backend/.env.default (defaults) → backend/.env (user overrides)
• Frontend: frontend/.env.default (defaults) → frontend/.env (user overrides)
• Platform: .env.default (Supabase/shared defaults) → .env (user overrides)

Docker Environment Loading Order

1. .env.default files provide base configuration (tracked in git)
2. .env files provide user-specific overrides (gitignored)
3. Docker Compose environment: sections provide service-specific overrides
4. Shell environment variables have highest precedence

Key Points

• All services use hardcoded defaults in docker-compose files (no ${VARIABLE} substitutions)
• The env_file directive loads variables INTO containers at runtime
• Backend/Frontend services use YAML anchors for consistent configuration
• Supabase services (db/docker/docker-compose.yml) follow the same pattern

Branching Strategy

• dev is the main development branch. All PRs should target dev.
• master is the production branch. Only used for production releases.

Creating Pull Requests

• Create the PR against the dev branch of the repository.
• Ensure the branch name is descriptive (e.g., feature/add-new-block)
• Use conventional commit messages (see below)
• Fill out the .github/PULL_REQUEST_TEMPLATE.md template as the PR description
• Always use --body-file to pass PR body — avoids shell interpretation of backticks and special characters:

  PR_BODY=$(mktemp)
  cat > "$PR_BODY" << 'PREOF'
  ## Summary
  - use `backticks` freely here
  PREOF
  gh pr create --title "..." --body-file "$PR_BODY" --base dev
  rm "$PR_BODY"
  

• Run the github pre-commit hooks to ensure code quality.

Reviewing/Revising Pull Requests

Use /pr-review to review a PR or /pr-address to address comments.

When fetching comments manually:

• gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews --paginate — top-level reviews
• gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments --paginate — inline review comments (always paginate to avoid missing comments beyond page 1)
• gh api repos/Significant-Gravitas/AutoGPT/issues/{N}/comments — PR conversation comments

Conventional Commits

Use this format for commit messages and Pull Request titles:

Conventional Commit Types:

• feat: Introduces a new feature to the codebase
• fix: Patches a bug in the codebase
• refactor: Code change that neither fixes a bug nor adds a feature; also applies to removing features
• ci: Changes to CI configuration
• docs: Documentation-only changes
• dx: Improvements to the developer experience

Recommended Base Scopes:

• platform: Changes affecting both frontend and backend
• frontend
• backend
• infra
• blocks: Modifications/additions of individual blocks

Subscope Examples:

• backend/executor
• backend/db
• frontend/builder (includes changes to the block UI component)
• infra/prod

Use these scopes and subscopes for clarity and consistency in commit messages.