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convex-agents

Configure persistent, stateful AI agents with the Convex framework.

23|5|Updated Nov 5, 2025
Search Tags:#rag#streaming#workflows#convex#ai-agents#tool-integration#thread-management
One-click install
npx skills add https://github.com/JStaRFilms/VibeCode-Protocol-Suite --skill convex-agents-jstarfilms
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-agents
Source: https://github.com/JStaRFilms/VibeCode-Protocol-Suite/tree/main/assets/.agent/skills/convex-agents
Command: npx skills add https://github.com/JStaRFilms/VibeCode-Protocol-Suite --skill convex-agents-jstarfilms

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convex enables developers to build persistent, stateful AI agents that can manage conversations, tools, and workflows across sessions, ensuring continuity and reliability.

Core Features & Use Cases

  • Thread management: maintain multiple concurrent conversations with persistent state.
  • Tool integration: connect agents to external functions and services.
  • Streaming responses: deliver real-time AI outputs to clients.
  • RAG and knowledge retrieval: index and search documents to augment reasoning.
  • Workflow orchestration: compose multi-step tasks across agents.

Quick Start

Install the convex-agent package and initialize your first agent to manage threads, tools, and streaming responses.

Frequently Asked Questions about convex-agents

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

FAQPage Schema
How do I build persistent AI agents that maintain state across multiple conversations?▼

You can build persistent, stateful AI agents by using the Convex framework to manage thread state, integrate external tools, and orchestrate workflows across multiple concurrent conversations. This ensures session continuity and reliable state management.

What is the best way to integrate RAG retrieval and tool integration into a stateful agent?▼

The best way to integrate RAG retrieval and tool integration is using Convex tooling, which allows agents to index and search documents to augment reasoning while connecting to external functions and services within the same workflow.

Can I deliver streaming responses to clients using Convex for AI agents?▼

Yes, Convex supports streaming responses to deliver real-time AI outputs directly to clients. This feature is built into the agent tooling alongside thread management and workflow orchestration capabilities.

How do I set up and configure my first stateful AI agent with Convex?▼

To set up your first stateful AI agent, install the convex-agent package and initialize the agent using the provided example setup code and reference schema to configure threads, tools, and knowledge workflows.

Does Convex support workflow orchestration for multi-step tasks across multiple agents?▼

Yes, Convex supports workflow orchestration to compose multi-step tasks across agents. It enables developers to manage complex workflows, tool integration, and concurrent threads within a persistent state environment.

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