Run continuous workflow agents with AutoGPT
Self-host AutoGPT to build, test, deploy, and operate continuous AI agents for repeatable multi-step workflows.
npx skills add agentskillexchange/skills --skill run-continuous-workflow-agents-with-autogpt
Use this skill when an operator needs to turn a recurring business process into a supervised, deployable agent workflow rather than asking a chatbot for one-off help. AutoGPT provides a self-hosted platform with an agent builder, block-based workflow management, deployment controls, and ready-to-use agents.
What this skill actually does
Operator workflow: define the target process, assemble blocks/actions in AutoGPT, test the agent locally, configure required integrations and credentials, then deploy and monitor the continuous agent.
Invoke this instead of using AutoGPT as a product card when the work is specifically about creating and running a repeatable agent automation with explicit lifecycle controls. The scope is continuous workflow-agent operation; it is not a generic listing for the AutoGPT brand, cloud waitlist, or every automation use case.
Inputs and prerequisites: Docker, Docker Compose, Git, Node.js/npm, AutoGPT platform.
Setup notes: Follow the official self-hosting guide at https://agpt.co/docs/platform/getting-started/getting-started; the upstream README also documents an install script and Docker-based local setup.
Source and verification boundary: use https://agpt.co as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.