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convex-agents

Develop persistent, stateful AI agents with Convex for conversations and tasks.

Updated Feb 7, 2026
Search Tags:#typescript#rag#streaming#workflows#convex#ai-agents#tool-integration
One-click install
npx skills add https://github.com/rieckt/create-loumi-app --skill convex-agents-rieckt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-agents
Source: https://github.com/rieckt/create-loumi-app/tree/main/template/skills/convex/convex-agents
Command: npx skills add https://github.com/rieckt/create-loumi-app --skill convex-agents-rieckt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Building stateful, scalable AI agents that can manage conversations, run tools, and orchestrate workflows in Convex.

Core Features & Use Cases

  • Persistent agents with thread management and memory across sessions
  • Tool integration, streaming responses, and RAG-based knowledge retrieval
  • Workflow orchestration for multi-step tasks and automation
  • Use cases include chat assistants that require long-running tasks and real-time collaboration

Quick Start

Install dependencies and scaffold a Convex agent-enabled environment, then implement agents and tools in TypeScript and expose server actions.

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 memory in Convex?▼

You can build stateful AI agents with persistent memory in Convex by using this Skill to manage threads and conversations across sessions. It leverages Convex to maintain agent state and memory for continuous chat assistant interactions.

How do I integrate tools and stream responses with OpenAI in a Convex AI agent?▼

You integrate tools and stream responses by installing @convex-dev/agent and OpenAI integration to enable real-time replies. This Skill provides a typed API for streaming responses and managing tool interactions within Convex.

Can I orchestrate multi-step workflows for AI automation using Convex?▼

Yes, you can orchestrate multi-step workflows for AI automation using Convex. This Skill provides workflow orchestration features to handle long-running tasks and automate multi-step processes for your agents.

Does this Skill support RAG-based knowledge retrieval for Convex agents?▼

Yes, this Skill supports RAG-based knowledge retrieval for Convex agents. It enables persistent agents to use retrieval augmented generation, allowing your chat assistants to query knowledge bases during tool interactions.

Do I need prior TypeScript experience to deploy AI agents with this Skill?▼

Yes, you need TypeScript experience to deploy AI agents with this Skill. It requires implementing agents and tools in TypeScript and exposing server actions within a Convex agent-enabled environment.

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