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Setting up LLM providers ¶. You can use AutoGPT with any of the following LLM providers. Each of them comes with its own setup instructions. AutoGPT was originally built on top of OpenAI's GPT-4, but now you can get similar and interesting results using other models/providers too.
Moved auto-gpt-plugin-template to regular dependencies to fix missing module error. Chores & Refactoring 🧹 Updated agbenchmark and autogpt-forge dependencies across the project.
20 kwi 2023 · If you don’t want to set up Auto-GPT locally and want an easy-to-use solution to automate and deploy tasks, you can use AgentGPT. It’s built on Auto-GPT, but you can access it directly in a browser. No need to fiddle with the Terminal and commands. Here is how it works.
This is the interface where you'll bring your AI automation ideas to life: Agent Builder: For those who want to customize, our intuitive, low-code interface allows you to design and configure your own AI agents. Workflow Management: Build, modify, and optimize your automation workflows with ease.
16 sie 2023 · Since Auto-GPT is still under development, you'll only be able to access Auto-GPT just how a developer would—which may require a bit of technical know-how. To make things easier for you, here is a step-by-step guide on how to download and install Auto-GPT.
Setting up Auto-GPT 📋 Requirements. Choose an environment to run Auto-GPT in (pick one): Docker (opens in a new tab) (recommended) Python 3.10 or later (instructions: for Windows (opens in a new tab)) VSCode + devcontainer (opens in a new tab) 🗝️ Getting an API key
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
