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Continue Hub
Continue Hub is a unified governance platform that centrally manages and deploys models, rules, and prompts so that your entire development team can use the same AI coding agent safely and efficiently.
- Launch Date
- 2024
- Monthly Visitors
- -
- Country of Origin
- united States
- Platform
- Web
- Language
- english
Keywords
- AI coding hub
- custom AI agents
- Continue Hub
- model governance
- rule blocks
- prompt management
- MCP integration
- IDE-integrated AI
- team AI management
- on-premises AI platform
- code assistant platform
- centrally managed AI
- block-based AI setup
- AI workflow management
- AI code governance
Platform Description
Continue Hub is a centralized platform designed to let developers build and manage their own AI coding assistants. Within this platform, users can systematically register and share AI coding components such as models, rules, prompts, and MCP tools, enabling standardization across the entire development environment. From the Hub, users can select preferred models and configure coding rules or behavioral settings so that the entire team can enjoy a consistent AI-assisted development experience.
In practical use, Continue Hub integrates seamlessly with IDE extensions like VS Code and JetBrains, as well as with CLI environments, allowing developers to use AI agents directly within their workflow. For example, when a developer updates a coding style rule in the Hub, that change is automatically propagated across all team environments, ensuring consistent code quality. The Hub is built around a modular, block-based structure—models, rules, and prompts are managed independently and can be reused across multiple projects or teams, offering strong scalability and flexibility.
For enterprise and team-level users, Continue Hub provides enhanced security and governance features. Capabilities such as API key protection, access control, and allow/deny rule configuration ensure a secure environment without data leakage. The Enterprise Plan further supports on-premise deployment, SSO integration, and data segregation within organizations, creating a secure, compliant infrastructure that aligns perfectly with internal corporate security policies.
Core Features
-
managing Model Blocks
select and configure different AI models within Hub
-
rules block
set rules for AI behavior, including code style, output, and more
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prompt block
save and share repeatable prompts
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MCP integration support
add MCP tools for integrating external data or features
-
set up organizational governance
setting up allow/block models and block policies
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secrecy and security controls
Centralize sensitive information such as API keys
-
manage agent deployments
deploy a configured agent to your team and manage updates
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managing organization/project separation
separate and organize settings for each organization or project
Use Cases
- create a custom agent
- code autocompletion
- code reviews
- rule-based AI controls
- sharing prompt blocks
- MCP tool integration
- team governance
- deploying agents
- Run commands within the IDE
- event-driven automation
- repository-based AI
- manage rule blocks
- manage prompts
- agent templates
- agent versioning
How to Use
sign in
create a block
configuring agents
IDE/CLI Integration
Plans
| Plan | Price | Key Features |
|---|---|---|
| Solo | $0 | • Create and share custom AI code agents and building blocks • Integrate with open source VS Code and JetBrains extensions • Connect to models using your own compute resources or API keys • Create public agents within your organization and invite team members to join |
| Team | $10/mo | • Solo plan features included • Centralized management of private AI code agents for team environments • Block and agent access control • Provide a layer of API key protection and authentication within your organization • Manage automatic agent updates |
| Enterprise | Custom | • Team plan features include • Support for enterprise onboarding, training, and full organization deployment • Single sign-on (SSO) support based on SAML or OIDC protocols • On-premises data plane support (allows local storage of sensitive data) • Provides an enterprise-grade security and control environment |
FAQs
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Continue Hub is an open source platform that allows developers to create, deploy, and manage their own AI code assistants. It works with integrations in IDE environments like VS Code and JetBrains, and you can connect with multiple AI models to build your own development agents.
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customization is the ability to fine-tune the Continue experience based on a developer's workflow or preferences to provide a personalized code assistant experience. you have the freedom to configure model providers, commands, tools, and more.
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yes, you can. Continue's "Model Roles" feature allows you to assign a different model for each task, such as writing code, autocomplete, chat, and more.
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yes, you can. you can connect an external MCP server or development tool via the Agent module so that LLM can call it directly. this allows you to perform complex tasks such as automated code modification, data analysis, deployment management, and more.
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The MCP server is responsible for connecting user-defined tools and functions to be called directly by Continue's agents. This allows LLM to interact with external systems and perform more powerful automation functions.
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Prompts in Continue generate consistent responses tailored to your development workflow, encode knowledge specific to a particular technology or framework, and provide expert code assistance.
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yes, you can. In Continue, you can share and reuse prompts across multiple assistants, so your entire team can work with the same standards and context.
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The prompts in Continue take an "interaction pattern definition" approach, allowing you to design AI responses that are specific to a particular task or framework. this is different because it goes beyond a simple question-and-answer structure to reflect your organization's development culture and domain knowledge.
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