#Agent Component

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compact nova
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What are the use cases of agent components?

worldly ravineBOT
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Hi @compact nova. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Agent components in Convex are used any time you want AI “agents” with memory, tools, and workflows running in your backend. From the docs, key use cases include:

  1. Chatbots and conversational UIs with memory

    • Persist user-specific threads and messages so conversations can continue over time and across devices.
    • Automatically include prior messages as context in each LLM call. [AI Agents; AI Agent component]

  2. Agentic workflows and orchestration

    • Build multi-step, long-running workflows that call agents, tools, and other Convex functions (often together with the Workflow component).
    • Patterns like dynamic routing between agents, fanning out LLM calls, ReAct-style loops, and workflows that can be paused/resumed. [AI Agents; Complex workflows]

  3. Support / customer-service agents

    • Define a “support agent” that answers questions, calls tools (e.g. account lookup, ticket creation), and runs inside durable workflows. [AI Agents with memory]

  4. Human-in-the-loop / human agents

    • Let humans act as agents: save human replies into the same threads, mix LLM and human responses, and decide when a human vs. LLM should answer. [Human agents]

  5. RAG-backed assistants

    • Combine agents with the RAG component to search custom knowledge bases and inject relevant context into prompts, either directly or via tools. [RAG]
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  1. Tool-using agents over your data & APIs

    • Give agents tools that can read/write Convex data, call external APIs, or trigger other actions, with tool calls and results stored in the same thread history. [Tools; AI Agent component]

  2. Multi-agent / collaborative systems

    • Multiple agents (and users) can share threads and message history, enabling agent handoffs or specialized agents collaborating on a task. [AI Agents; Threads]

If you describe your specific app (e.g. “support chat”, “document Q&A”, “multi-step workflow”), I can point to the most relevant agent patterns from these docs.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: