skills.rest
kausthubh-coder
kausthubh-coderCOMMUNITY
Explore all skills by this author →
GitHub

convex-agents

Develop stateful AI agents with streaming and tool execution on Convex.

Updated Feb 26, 2026
Search Tags:#ai#llm#rag#agents#tools#workflows#convex
One-click install
npx skills add https://github.com/kausthubh-coder/studi --skill convex-agents-kausthubh-coder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: convex-agents
Source: https://github.com/kausthubh-coder/studi/tree/main/.cursor/skills/convex-agents
Command: npx skills add https://github.com/kausthubh-coder/studi --skill convex-agents-kausthubh-coder

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 provides a robust framework for building persistent, stateful AI agents that can manage conversations, integrate tools, stream responses, and orchestrate complex workflows using the Convex platform.

Core Features & Use Cases

  • Thread Management: Create, list, and retrieve messages for persistent conversations.
  • Streaming Responses: Deliver real-time feedback to users as the agent generates responses.
  • Tool Integration: Define and utilize custom tools for agents to interact with external functionalities or data.
  • RAG Patterns: Implement Retrieval Augmented Generation for knowledge-based responses.
  • Workflow Orchestration: Build multi-step agentic processes for complex tasks.
  • Use Case: Develop a customer support bot that can access a knowledge base, create support tickets, and provide real-time answers to user queries.

Quick Start

Use the convex-agents skill to create a new conversation thread for the current user.

Frequently Asked Questions about convex-agents

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

FAQPage Schema
How do I build AI agents with persistent state and streaming responses?▼

You can build AI agents with persistent state and real-time streaming by using the Convex platform framework. It manages thread conversations and delivers incremental feedback as the agent generates responses.

Can I integrate external APIs and custom tools into my Convex AI agent?▼

Yes, you can integrate external APIs by defining custom tools for your AI agents. This allows the agent to interact with external functionalities and execute operations during workflow orchestration.

How do I implement Retrieval Augmented Generation for an AI agent?▼

You can implement Retrieval Augmented Generation (RAG) patterns to provide knowledge-based responses. This framework facilitates integrating your existing knowledge base for enhanced retrieval during agent conversations.

Do I need Convex backend and frontend libraries to run this agent framework?▼

Yes, building these AI agents requires integration with Convex's backend and frontend libraries for full functionality. The framework depends on Convex, OpenAI, and specific agent packages to operate.

How do I manage conversation threads for a stateful AI chatbot?▼

The framework provides thread management to create, list, and retrieve messages for persistent conversations. This ensures your AI chatbot maintains continuous state and context across user interactions.

Related Skills

Explore More Software Engineering Skills→
iantanwxiantanwx

convex-quickstart

Set up a Convex backend for new or existing frontend projects.

Community
Intermediate
blocknaviblocknavi
1

convex-agents

Build persistent, stateful AI agents with thread management and tool integration in Convex.

Official
Intermediate
SoltusSoltus
1

ai-model-web

Integrate text generation and streaming AI responses in web applications.

Community
Intermediate
bobmatnycbobmatnyc
3

langchain-framework

Build and orchestrate LLM-powered applications with LangChain.

Community
Intermediate