Cursor History FAQs

Question 1

How do I access the API?

Accepted Answer

After deploying the Docker container, you can access the API documentation at `http://localhost:8000/docs`. This page outlines all available endpoints and their usage.

Question 2

What are the prerequisites for using Cursor History?

Accepted Answer

You'll need Docker, Python 3.8+, FastAPI, LanceDB, and Ollama installed. The README provides detailed installation instructions.

Question 3

What are the key benefits of using Cursor History?

Accepted Answer

Key benefits include easy self-hosted deployment with Docker, efficient vectorized search, integration with local LLMs through Ollama, and the ability to quickly retrieve relevant information from your past conversations within Cursor.

Question 4

What is Cursor History?

Accepted Answer

Cursor History is an API service that allows you to search your chat history from the Cursor IDE. It uses vectorized search powered by LanceDB and Ollama for efficient and relevant results.

Question 5

How does Cursor History work?

Accepted Answer

It utilizes LanceDB to store vectorized embeddings of your chat history. When you perform a search, the query is also vectorized, and LanceDB finds the most similar chat messages.

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