Build persistent AI agents in Convex with threads, tools, and streaming.
npx skills add https://github.com/cgRGM/rivercitymd --skill convex-agents-cgrgm
Please help me install this Agent Skill. Skill: convex-agents Source: https://github.com/cgRGM/rivercitymd/tree/main/.cursor/skills/convex-agents Command: npx skills add https://github.com/cgRGM/rivercitymd --skill convex-agents-cgrgm
This Skill helps you build persistent AI agents in Convex without stitching together ad hoc chat storage, tool calls, or retrieval logic. It focuses on durable conversational state, real-time responses, and organized orchestration so agent features remain reliable as the app grows.
Use the convex-agents skill to design a Convex-backed agent with persistent threads, streaming replies, and tool-based workflows for your application.
High-intent search queries and answers about installing and using this skill.
Stateful AI agents in Convex are built using persistent threads and message history, ensuring conversational state survives app refreshes and restarts for reliable chat experiences.
Yes, streaming assistant responses in Convex provides real-time updates to user interfaces, creating responsive chat experiences without waiting for full message generation.
Tool integration and workflow orchestration in Convex agents enable actions like searching knowledge, creating tasks, or triggering business logic through structured tool calls.
RAG retrieval in Convex uses vector search to query stored documents, allowing research assistants to search knowledge bases and generate grounded answers for user queries.
Convex supports durable state for production customer support bots, managing conversational threads and tool execution reliably as application scale and complexity grow.
Convex agent orchestration requires agent component setup, Convex functions, and vector search configuration, so simpler stateless chat apps may not need this durable state infrastructure.
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