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convex-agents

Develop stateful AI agents with the Convex Agent component for threads, tools, and streaming.

Updated Feb 21, 2026
Search Tags:#ai#llm#rag#agents#workflows#convex
One-click install
npx skills add https://github.com/mikeyfennelly1/hackeurope--210226 --skill convex-agents-mikeyfennelly1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-agents
Source: https://github.com/mikeyfennelly1/hackeurope--210226/tree/main/.agents/skills/convex-agents
Command: npx skills add https://github.com/mikeyfennelly1/hackeurope--210226 --skill convex-agents-mikeyfennelly1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @convex-dev/agent, ai, openai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the creation of sophisticated AI agents by providing a robust framework for managing state, integrating tools, and orchestrating complex workflows within the Convex real-time database.

Core Features & Use Cases

  • Persistent State Management: Agents maintain conversation history and context across sessions.
  • Tool Integration: Seamlessly connect agents to external functions and APIs.
  • RAG & Workflow Orchestration: Implement advanced patterns like Retrieval Augmented Generation and multi-step processes.
  • Use Case: Develop a customer support agent that can access a knowledge base, create support tickets, and provide real-time, streaming answers to user queries.

Quick Start

Install the necessary packages and set up the Convex agent component in your Convex project.

Frequently Asked Questions about convex-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build stateful AI agents with persistent conversation history?▼

Build stateful AI agents by using the Convex Agent component to manage conversation threads and maintain persistent context across sessions within the Convex real-time database.

How do I orchestrate RAG and multi-step workflows for AI agents?▼

Orchestrate RAG and multi-step workflows by utilizing the Convex Agent component to coordinate retrieval augmented generation patterns and execute durable, multi-step processes within your Convex project.

Can I stream real-time AI agent responses using Convex?▼

Yes, you can stream real-time AI agent responses using the Convex Agent component, which supports real-time updates and streaming outputs directly within the Convex ecosystem.

How do I integrate external tools and APIs into Convex AI agents?▼

Integrate external tools and APIs into Convex AI agents by connecting your functions to the Convex Agent component, enabling seamless tool execution and orchestration alongside your database workflows.

Do I need the OpenAI SDK to build agents with the Convex Agent component?▼

Yes, building agents with the Convex Agent component requires installing the OpenAI SDK alongside the Convex Agent package to handle underlying LLM interactions and tool integrations.

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