Build AI agents with Convex for chat, workflows, streaming, and RAG.
npx skills add https://github.com/matiacone/dotfiles --skill convex-agents-matiacone
Please help me install this Agent Skill. Skill: convex-agents Source: https://github.com/matiacone/dotfiles/tree/main/agents/.agents/skills/convex-agents Command: npx skills add https://github.com/matiacone/dotfiles --skill convex-agents-matiacone
Convex Agents unifies the process of building AI agents on the Convex platform by providing an out-of-the-box toolkit for managing agents, threads, messages, streaming, tools, RAG, workflows, and React integration.
Install the agent package, configure Convex with an agent, and run the dev server to generate types and try a basic setup.
High-intent search queries and answers about installing and using this skill.
To build AI agents with Convex, you define agents with specific prompts, tools, and configurations to manage multi-turn conversations and orchestrate dynamic workflows.
Yes, you can integrate with React UIs to display and stream agent messages, enabling real-time streaming responses for interactive agent-driven workflows within your application.
The best way to add RAG is by using an out-of-the-box toolkit that supports retrieval-augmented generation, allowing you to define agents equipped with RAG-enabled tools and dynamic workflows.
To set up an AI agent workflow, install the agent package, configure Convex with your agent definitions, and run the dev server to generate types and test the basic setup.
Building agents with Convex provides concepts and code patterns to explicitly define and manage agents, threads, and messages, simplifying the orchestration of complex interactions.
Convex agents support tool orchestration and streaming interactions, but implementation depth is advanced, requiring understanding of Convex workflows, React integration, and RAG configurations.
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