# AutoGPT: build & use AI agents

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**AutoGPT** is a generalist LLM based AI agent that can autonomously accomplish minor tasks. 

**Examples**:

- Look up and summarize this research paper
- Write a marketing for food supplements
- Write a blog post detailing the news in AI

Our mission is to provide the tools, so that you can focus on what matters:

- 🏗️ **Building** - Lay the foundation for something amazing.
- 🧪 **Testing** - Fine-tune your agent to perfection.
- 🤝 **Delegating** - Let AI work for you, and have your ideas come to life.

Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI innovation.

**📖 [Documentation](https://docs.agpt.co)**
 | 
**🚀 [Contributing](CONTRIBUTING.md)**
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**🛠️ [Build your own Agent - Quickstart](QUICKSTART.md)**

## 🧱 Building blocks

### 🏗️ Forge

**Forge your own agent!** – Forge is a ready-to-go template for your agent application. All the boilerplate code is already handled, letting you channel all your creativity into the things that set *your* agent apart. All tutorials are located [here](https://medium.com/@aiedge/autogpt-forge-e3de53cc58ec). Components from the [`forge.sdk`](/forge/forge/sdk) can also be used individually to speed up development and reduce boilerplate in your agent project.

🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/forge/tutorials/001_getting_started.md) –
This guide will walk you through the process of creating your own agent and using the benchmark and user interface.

📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/forge) about Forge

### 🎯 Benchmark

**Measure your agent's performance!** The `agbenchmark` can be used with any agent that supports the agent protocol, and the integration with the project's [CLI] makes it even easier to use with AutoGPT and forge-based agents. The benchmark offers a stringent testing environment. Our framework allows for autonomous, objective performance evaluations, ensuring your agents are primed for real-world action.

<!-- TODO: insert visual demonstrating the benchmark -->

📦 [`agbenchmark`](https://pypi.org/project/agbenchmark/) on Pypi
&ensp;|&ensp;
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/blob/master/benchmark) about the Benchmark

### 💻 UI

**Makes agents easy to use!** The `frontend` gives you a user-friendly interface to control and monitor your agents. It connects to agents through the [agent protocol](#-agent-protocol), ensuring compatibility with many agents from both inside and outside of our ecosystem.

<!-- TODO: insert screenshot of front end -->

The frontend works out-of-the-box with all agents in the repo. Just use the [CLI] to run your agent of choice!

📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/frontend) about the Frontend

### ⌨️ CLI

[CLI]: #-cli

To make it as easy as possible to use all of the tools offered by the repository, a CLI is included at the root of the repo:

```shell
$ ./run
Usage: cli.py [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  agent      Commands to create, start and stop agents
  benchmark  Commands to start the benchmark and list tests and categories
  setup      Installs dependencies needed for your system.
```

Just clone the repo, install dependencies with `./run setup`, and you should be good to go!

## 🤔 Questions? Problems? Suggestions?

### Get help - [Discord 💬](https://discord.gg/autogpt)

[![Join us on Discord](https://invidget.switchblade.xyz/autogpt)](https://discord.gg/autogpt)

To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn’t created an issue for the same topic.

## 🤝 Sister projects

### 🔄 Agent Protocol

To maintain a uniform standard and ensure seamless compatibility with many current and future applications, AutoGPT employs the [agent protocol](https://agentprotocol.ai/) standard by the AI Engineer Foundation. This standardizes the communication pathways from your agent to the frontend and benchmark.

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