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Built-in - These agents are part of the Conductor framework itself. You can configure them, but cannot modify their source code.

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What Are Built-in Agents?

Built-in agents are framework-level components that require deep integration with Cloudflare’s platform:
  • Durable Objects for stateful operations
  • Cloudflare AI for embeddings and inference
  • Vectorize for vector storage and search
Unlike starter kit agents which you own and can modify, built-in agents are maintained by the Conductor team and updated with framework releases.

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Available Built-in Agents

rag

Vector search + LLM using Cloudflare AI & Vectorize

hitl

Human-in-the-loop approval flows using Durable Objects

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Built-in vs Starter Kit

AspectBuilt-in AgentsStarter Kit Agents
Source codeFramework (not editable)Your project (fully editable)
UpdatesWith Conductor releasesYou control
Platform depsDeep (DO, AI, Vectorize)Minimal
CustomizationConfig onlyFull code access
Examplesrag, hitlfetch, validate, scrape, etc.

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When to Use Built-in Agents

Use rag when you need:
  • Manual control over document indexing
  • Custom chunking strategies
  • Hybrid search (vector + keyword)
  • Fine-tuned retrieval parameters
Use hitl when you need:
  • Human approval workflows
  • Asynchronous task completion
  • Audit trails for decisions
  • Multi-step approval chains

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Configuration Pattern

Built-in agents are configured, not coded: 
agents:
  - name: search-docs
    agent: rag
    config:
      vectorBinding: DOCS_VECTORS
      aiBinding: AI
      model: '@cf/baai/bge-base-en-v1.5'
      topK: 5
    input:
      query: ${input.question}
      operation: search

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Starter Kit Alternatives

For simpler use cases, consider starter kit agents:
NeedBuilt-inStarter Kit Alternative
RAG with zero config-autorag
Simple validation-validate
HTTP requests-fetch

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Next Steps

RAG Agent

Vector search + LLM

HITL Agent

Human approval flows

Utility Agents

Editable agents you own

AutoRAG

Zero-config managed RAG