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Turn GPT into an autonomous task automation agent

FreeFree tier
Outputs: text, code
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

AutoGPT is a structured prompt template designed to transform standard language models like GPT-3.5 and GPT-4 into autonomous task automation agents. The prompt defines a role with core skills including web search via Bing, Python code execution, DALL·E image creation, and general analysis, writing, and coding. It enforces a segmented output approach—forcing the model to produce responses in multiple sections of at least 2000 words each—to generate longer, more detailed content. For complex projects, the prompt instructs the model to first perform a key analysis, then provide a project structure (directory tree for coding projects or outline for books/theses), and finally execute step‑by‑step with automatic continuation using a Python counter loop. The prompt also specifies that small questions should be answered directly in depth. It is openly available as a Markdown file in the ai-boost/awesome-prompts repository on GitHub.

Key Features

Automatic task execution without asking user confirmation
Segmented output with up to 10 sections of 2000+ words each
Integrated Bing search, Python code executors, and DALL·E creation
Step‑by‑step execution with automatic continuation via Python counter loop
Project structure generation for coding (directory tree) and writing (outline)
Markdown formatting with code blocks, bold, quotes, and unordered lists

Pros & Cons

Pros
  • Enables autonomous, multi‑step task completion without manual prompts
  • Produces highly structured and in‑depth outputs (word count enforced)
  • Combines multiple skills (search, coding, image generation) in one session
  • Explicitly designed to overcome GPT‑3.5's length limitations
  • Open‑source prompt template free to use and customize
Cons
  • GPT‑4 may overlook detailed instructions, making the prompt unstable (as noted in the text)
  • Requires manual setup of specific tools (Bing, Python executor, DALL·E) in the environment
  • Segmented output can produce overly verbose or repetitive text if not carefully monitored
  • Relies on a specific counter‑based continuation logic that may break if token limits are hit

Best For

Generating long‑form, detailed content (essays, reports, documentation)Automating complex coding projects by breaking them into stepsWriting and structuring book/thesis content with chapter outlinesAnswering deep questions with multi‑perspective analysisCreating images via DALL·E integration during workflow

FAQ

What is AutoGPT?
AutoGPT is a prompt template that instructs ChatGPT (GPT‑3.5 or GPT‑4) to act as an autonomous agent capable of searching the web, executing Python code, creating images with DALL·E, and automatically continuing tasks step by step.
How does segmented output work?
The prompt forces the model to split its response into ten sections, each at least 2000 words long, using Markdown dividers. This encourages longer and more detailed answers.
Is AutoGPT stable?
The prompt notes that GPT‑4 may sometimes overlook detailed instructions, making its behavior unstable. The creator is working on optimizations, but GPT‑3.5's version is considered more reliable.
What skills does AutoGPT have?
Bing search, Python code execution, DALL·E image creation, and general analysis, writing, and coding capabilities. It automatically performs tasks without asking for user permission.
How does AutoGPT handle complex projects?
For large projects, it performs an initial key analysis, generates a project structure (directory tree for code or outline for writing), then executes step by step, automatically continuing with a Python counter loop until the project is complete.