SuperAGI
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build,
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Open-source framework to build, manage and run useful Autonomous AI Agents
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What are we ?
A dev-first open source autonomous AI agent framework enabling developers to build, manage & run useful autonomous agents. You can run concurrent agents seamlessly, extend agent capabilities with tools. The agents efficiently perform a variety of tasks and continually improve their performance with each subsequent run.
💡 Features
- Provision, Spawn & Deploy Autonomous AI Agents - Create production-ready & scalable autonomous agents.
- Extend Agent Capabilities with Toolkits - Add Toolkits from our marketplace to your agent workflows.
- Graphical User Interface - Access your agents through a graphical user interface.
- Action Console - Interact with agents by giving them input and permissions.
- Multiple Vector DBs - Connect to multiple Vector DBs to enhance your agent’s performance.
- Performance Telemetry - Get insights into your agent’s performance and optimize accordingly.
- Optimized Token Usage - Control token usage to manage costs effectively.
- Agent Memory Storage - Enable your agents to learn and adapt by storing their memory.
- Models - Custom fine tuned models for business specific usecases.
- Workflows - Automate tasks with ease using ReAct LLM's predefined steps.
🛠 Toolkits
Toolkits allow SuperAGI Agents to interact with external systems and third-party plugins.
⚙️ Installation
You can install superAGI using one of the following three approaches.
#### ☁️ SuperAGI cloud
To quickly start experimenting with agents without the hassle of setting up the system, try Superagi Cloud
- 1.Visit Superagi Cloud and log in using your github account.
- 1.In your account settings, go to "Model Providers" and add your API key.
You're all set! Start running your agents effortlessly.
#### 🖥️ Local
- 1.Open your terminal and clone the SuperAGI repository.
git clone https://github.com/TransformerOptimus/SuperAGI.git - 1.Navigate to the cloned repository directory using the command:
cd SuperAGI- 1.Create a copy of config_template.yaml, and name it config.yaml.
- 1.Ensure that Docker is installed on your system. You can download and install it from here.
- 1.Once you have Docker Desktop running, run the following command in the SuperAGI directory:
a. For regular usage:
```
docker compose -f docker-compose.yaml up --build
```
b. If you want to use SuperAGI with Local LLMs and have GPU, run the following command:
```
docker compose -f docker-compose-gpu.yml up --build
```
- 1.Open your web browser and navigate to http://localhost:3000 to access SuperAGI.
#### 🌀 Digital Ocean
Deploy SuperAGI to DigitalOcean with one click.
Don't lose this
Three weeks from now, you'll want SuperAGI again. Will you remember where to find it?
Save it to your library and the next time you need SuperAGI, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build,. Best for anyone looking to make their AI assistant more capable in content. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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