What Are Configs?
Configs are flexible containers that combine multiple components to create powerful AI coding experiences using the Continue CLI or the Extensions. A single config can include:Models
Large Language Models for chat, autocomplete, editing, and more
MCPs
Model Context Protocol servers that provide tools and capabilities
Rules
Guidelines that shape AI behavior and responses
Prompts
Reusable instructions for common coding tasks
How Configs Work
Think of configs as recipes for AI assistance. Each config defines:- What models to use for different tasks (chat, autocomplete, code editing)
- Which tools are available through MCP servers
- How the AI behaves through rules and guidelines
- Pre-built prompts for common workflows
Config Permissions
When creating configs, you can set visibility levels:- Personal: Only you can see and use the config
- Public: Anyone can discover and use your config
- Organization: Members of your organization can access the config
Working with Configs
You can interact with configs in three main ways:- Create: Build a new config from scratch or start with a template
- Edit: Modify your existing configs by adding/removing components
- Remix: Take someone else’s config and customize it for your needs
Getting Started
1
Explore existing configs
Browse the Continue Hub to see what configs others have built
2
Add a config to your account
Click “Install Config” (+) on any config that interests you
3
Customize as needed
Add your API keys and customize components to match your workflow
4
Use in your IDE
Select the config from the dropdown in your Continue extension, type
/config
in the CLI, or use --config
with the CLI commandsConfig Format
All configs follow theconfig.yaml
format, whether you’re using the hub interface or editing files locally. This ensures consistency between hub-managed and local configurations.