Construct and manage AI agents with Convex's agent component.
npx skills add https://github.com/xrehpicx/vector --skill convex-agents-xrehpicx
Please help me install this Agent Skill. Skill: convex-agents Source: https://github.com/xrehpicx/vector/tree/main/.agents/skills/convex-agents Command: npx skills add https://github.com/xrehpicx/vector --skill convex-agents-xrehpicx
This Skill unit helps solve the problem of building and managing AI agents with the Convex Agent component, providing tools for thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration.
Initialize and use the convex-agents skill to create a chatbot agent with access to tools like searching the knowledge base, creating tasks, and getting weather information.
High-intent search queries and answers about installing and using this skill.
You can build stateful AI agents in Convex by using the Convex agent component to construct persistent agents with thread management, streaming responses, and tool integration for continuous context.
Yes, you can execute Convex functions as agent tools. The Skill enables tool integration so your AI agent can trigger internal functions like searching a knowledge base or creating tasks alongside OpenAI's chat API.
You need a Convex environment, OpenAI API access, and AI SDKs to set up an agent. You must configure thread management and tool integration within your Convex system to enable agent functionality.
Integrate RAG patterns by using the workflow orchestration and tool integration features of the Convex agent component. This enables your agent to answer questions based on internal knowledge bases.
Yes, the Convex agent component supports streaming responses. This makes it suited for customer support and knowledge base assistance applications where real-time feedback is required.
FISHers6Configure ClawBro gateway, API keys, and operating modes via config files.
xotongOrchestrate cloud-based AI agent swarms for event-driven workflows.
Kingly-AgencyBuild RAG pipelines that ground LLM responses with retrieved external knowledge.
riecktDevelop persistent, stateful AI agents with Convex for conversations and tasks.
