convex-agents
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
npx skills add majiayu000/claude-skill-registry --skill convex-agents-benfwalla-things-to-be-happy-a --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Convex Agents Build persistent, stateful AI agents with Convex including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration. ## Documentation Sources Before implementing, do not assume; fetch the latest documentation: - Primary: https://docs.convex.dev/ai - Convex Agent Component: https://www.npmjs.com/package/@convex-dev/agent - For broader context: https://docs.convex.dev/llms.txt ## Instructions ### Why Convex for AI Agents - **Persistent State** - Conversation history survives restarts - **Real-time Updates** - Stream responses to clients automatically - **Tool Execution** - Run Convex functions as agent tools - **Durable Workflows** - Long-running agent tasks with reliability - **Built-in RAG** - Vector search for knowledge retrieval ### Setting Up Convex Agent ```bash npm install @convex-dev/agent ai openai ``` ```typescript // convex/agent.ts import { Agent } from "@convex-dev/agent"; import { components } from "./_generated/api"; import { OpenAI } from "openai"; const openai = new OpenAI(); export const agent = new Agent(components.agent, { chat: openai.chat, textEmbedding: openai.embeddings, }); ``` ### Thread Management ``
- Documentation Sources
- Instructions
- Why Convex for AI Agents
- Setting Up Convex Agent
- Thread Management
- Sending Messages and Streaming Responses
- Tool Integration
- Agent with Tools
- RAG (Retrieval Augmented Generation)
- Workflow Orchestration
- Examples
- Complete Chat Application Schema
- React Chat Component
- Best Practices
npm install @convex-dev/agent ai openai
What does the convex-agents skill do?
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill convex-agents-benfwalla-things-to-be-happy-a --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.