Description
Convex Developer Hub provides a comprehensive platform for building AI agent applications. Utilizing the @convex-dev/agent component, developers can create dynamic workflows that separate long-running processes from the user interface, maintaining interactivity and reactivity. The platform supports message persistence with live updates, allowing seamless integration with other Convex features through code rather than configuration.
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The Agent component is central to organizing LLM prompting, managing threads, and facilitating cooperation in workflows. It supports text and object generation and streaming, enabling integration with business logic. Conversation context is automatically included in LLM calls, with hybrid vector/text search capabilities.
Convex supports multi-step workflows that span agents and users, ensuring durability and reliability. Techniques like RAG are available for prompt augmentation, and files can be saved automatically in chat history. Debugging is facilitated through the agent playground, allowing inspection of metadata and iteration on prompts.
Usage tracking and rate limiting are built-in features, helping manage interactions and prevent exceeding LLM provider limits. Convex's components ensure reliable retries, load balancing, and durability for workflows, even in serverless environments. The platform is designed for scalability, making it ideal for developers looking to build robust AI applications.
- CategoryAI Agent Builders
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Convex AI Agents's Core Features
Agent component for managing threads and messages
LLM prompting with context and hybrid search
Multi-step workflows with durability and reliability
RAG techniques for prompt augmentation
Automatic file saving in chat history
Debugging through agent playground
Usage tracking and billing support
Rate limiting for controlled interactions
Reliable retries and load balancing
Durable execution of long-running functions
Integration with business logic
Live updates and message persistence
Separation of workflows from UI
Text and object generation and streaming
Support for human and AI agents
How to use Convex AI Agents?
Configure: Set up the agent component in your Convex project
Use: Implement agentic workflows and integrate with business logic
Optimise: Debug and iterate using the agent playground
Deploy: Manage production deployments with Convex's built-in tools
Convex AI Agents's Use Cases
- AI-driven workflows
- LLM integration
- Prompt augmentation
- Message persistence
- Debugging tools
- Usage tracking
- Rate limiting
- Durable workflows
- File management
- Human-AI collaboration
