🤖 🔥 Language-to-actions engine
MIT License
Get 1:1 support, Join the community (NEW!!)
[!TIP] If you are looking for a managed version of OpenCopilot, check out the cloud version - it's production-ready with our latest planning engine that can handle and understand complex user requests.
Documentation available here
OpenCopilot allows you to have your own product's AI copilot. It integrates with your underlying APIs and can execute API calls whenever needed. It uses LLMs to determine if the user's request requires calling an API endpoint. Then, it decides which endpoint to call and passes the appropriate payload based on the given API definition.
Make sure you have docker installed.
To begin, clone this Git repository:
git clone [email protected]:openchatai/OpenCopilot.git
In the .env
file located in the llm-server
directory, make sure to replace the placeholder value for the OPENAI_API_KEY
variable with your actual token:
OPENAI_API_KEY=YOUR_TOKEN_HERE
To install the necessary dependencies and set up the environment for OpenCopilot, use the following command:
make install
If you are using an ARM machine, specifically Mac Silicon, use the following command to install dependencies and set up the environment:
make install-arm
Once the installation is complete, you can access the OpenCopilot console at http://localhost:8888.
This will install the necessary dependencies and set up the environment for the OpenCopilot project.
Once the installation is complete, you can access the OpenCopilot console at http://localhost:8888
You can try it out on opencopilot.so
(OpenCopilot is not affiliated with Shopify, and they do not use OpenCopilot, it's just a demo of what copilots are capable of)
Our goal is to empower every SaaS product with the ability to have their own AI copilots tailored for their unique products.
Most of the time, the copilot can figure out what actions to execute when the user requests something, but in case there is a complex flow, you can define it to help the copilot:
Less than <10 lines of codes to implement on your web app or desktop app
This project follows the all-contributors specification. Contributions of any kind are welcome!
This product collects anonymous usage data to help improve your experience. You can opt out by setting ENABLE_EXTERNAL_API_LOGGING=no
in your environment variables.