Welcome to the Gemini CLI integration guide. This guide will help you connect ByteRover with Gemini CLI, providing Google’s AI with persistent memory of your coding patterns and solutions.
What You’ll Need
- Gemini CLI installed and configured
- A ByteRover account
Getting Started
1. Start the Connection
Go to your ByteRover dashboard and:- Find the “Connect your agent” section
- Click on Gemini CLI from the list
- Hit the “Connect with Gemini CLI” button
2. Connect ByteRover to Gemini CLI
Step 1: Open your Gemini settings file:/mcp
to confirm your connection. You should see byterover-mcp listed with available tools.
Test It
Try storing a pattern:Benefits
Enhanced AI responses
Enhanced AI responses
Gemini gains memory of your coding style and patterns, providing more relevant and personalized assistance based on your development history.
Cross-session continuity
Cross-session continuity
Your stored knowledge persists across all CLI sessions, building a comprehensive personal coding knowledge base over time.
Team knowledge sharing
Team knowledge sharing
With ByteRover team plans, your entire team can benefit from shared coding patterns and solutions discovered by any team member.
Troubleshooting
Configuration issues
Configuration issues
Verify JSON syntax in settings file. Check API token accuracy. Ensure file permissions allow reading/writing.
Connection problems
Connection problems
Test internet connectivity. Verify MCP server URL is correct. Try regenerating API token if connection fails.
Memory not working
Memory not working
Confirm
/mcp
shows connected status. Test with simple storage command. Check ByteRover account has available operations.Join our Discord community for Gemini CLI tips and support.