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autogpt

Route AutoGPT Platform self-hosting, backend, frontend, and legacy Classic agent work to focused operating guidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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설치 방법 보기

포함된 파일(28)

  • SKILL.md3.9 KB
  • references/contributor-guidance.md1.9 KB
  • references/repo-provenance.md1.7 KB
  • references/repo-routing-metadata.json498 B
  • references/repository-map.md2.6 KB
  • references/troubleshooting.md2.4 KB
  • scripts/autogpt_repo_probe.py2.9 KB
  • sub-skills/classic-agents/references/classic-api-cli-reference.md2.5 KB
  • sub-skills/classic-agents/references/classic-workflows.md3.0 KB
  • sub-skills/classic-agents/references/troubleshooting.md2.5 KB
  • sub-skills/classic-agents/scripts/classic_cli_probe.py4.4 KB
  • sub-skills/classic-agents/SKILL.md2.4 KB
  • sub-skills/platform-backend/references/api-cli-testing.md3.9 KB
  • sub-skills/platform-backend/references/backend-architecture.md5.1 KB
  • sub-skills/platform-backend/references/block-development.md4.4 KB
  • sub-skills/platform-backend/references/troubleshooting.md2.7 KB
  • sub-skills/platform-backend/scripts/backend_smoke.py4.4 KB
  • sub-skills/platform-backend/SKILL.md3.5 KB
  • sub-skills/platform-frontend/references/api-and-testing.md3.0 KB
  • sub-skills/platform-frontend/references/frontend-architecture.md3.7 KB
  • sub-skills/platform-frontend/references/troubleshooting.md2.5 KB
  • sub-skills/platform-frontend/scripts/frontend_preflight.py3.7 KB
  • sub-skills/platform-frontend/SKILL.md2.8 KB
  • sub-skills/platform-stack/references/configuration.md2.6 KB
  • sub-skills/platform-stack/references/troubleshooting.md2.4 KB
  • sub-skills/platform-stack/references/workflows.md2.9 KB
  • sub-skills/platform-stack/scripts/platform_stack_preflight.py3.5 KB
  • sub-skills/platform-stack/SKILL.md2.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

AutoGPT

Use this skill for the AutoGPT monorepo. Start by deciding whether the task is for the current AutoGPT Platform or the unsupported Classic suite. Platform is the maintained self-hosted product; Classic is retained for educational and historical use and has known dependency/security limitations.

Quick routing

If the task involvesRead next
Docker Compose, .env setup, local services, self-host upgrade, ports, or local LLM configurationplatform-stack
FastAPI routes, graph execution, blocks, integrations, Prisma, model catalog, backend CLI, or Python testsplatform-backend
Next.js pages, Builder/Copilot/Library/Marketplace UI, generated API hooks, Tailwind/design system, or frontend testsplatform-frontend
autogpt/serve CLI, Forge, workspace permissions, or direct-benchmarkclassic-agents

For a backend endpoint plus a UI consumer, begin with platform-backend, then use platform-frontend for the generated hook and screen work. For local end-to-end validation, also read platform-stack before starting services.

Operating sequence

  1. Confirm the product surface and the smallest affected package.
  2. Read the selected sub-skill and its linked references before changing code.
  3. Preserve the repository's branch, secret, test, and formatting rules.
  4. Choose the narrowest safe validation first; do not start Docker services, browser tests, benchmarks, migrations, or credentialed workflows merely to inspect them.
  5. Escalate to cross-surface validation only when the task actually crosses a backend/frontend, API/schema, or runtime boundary.

Fast orientation

  • AutoGPT Platform combines a Python backend, a Next.js frontend, shared Python libraries, Docker services, visual agent graphs, blocks, integrations, and a marketplace.
  • The Platform's standard local stack uses Docker Compose; the backend and frontend can also run separately for active development.
  • Classic is one Poetry project containing autogpt, forge, and direct_benchmark. Treat it as unsupported and avoid presenting it as the recommended path for new production work.

Read repository map for package boundaries and common change locations. Read contributor guidance when a task will modify code or documentation. Read cross-cutting troubleshooting for setup, secrets, service, and version failures.

Public setup anchors

Use the package-specific sub-skills for complete setup. Minimal public commands are:

cd autogpt_platform && make init-env && make start-core
cd autogpt_platform/backend && poetry install
cd autogpt_platform/frontend && corepack enable && pnpm install
cd classic && poetry install

Run only the commands needed for the chosen surface. Do not combine Platform backend and Classic dependencies into one Python environment unless a task explicitly asks for that experiment.

Safe reusable helper

Run python scripts/autogpt_repo_probe.py --repo <checkout> to identify the major AutoGPT surfaces and missing host tools without starting services or editing the checkout. Use --json when another tool needs structured output.

Scope limits

This operating graph describes the checked source revision recorded in repo provenance. It does not provide secrets, managed-cloud access, external provider credentials, model downloads, or a promise that Classic dependencies are safe or maintained.

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