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Lyzr offers multiple entry points depending on how you want to build.

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Decision guide

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Agent Studio

Agent Studio is the fastest way to ship agents. Use it when:
  • Your team includes non-engineers who need to configure agents.
  • You want to iterate on prompts, models, and tools without redeployment.
  • You need voice agents, scheduling, or webhook triggers.
  • You want built-in evaluation, monitoring, and version control.
Agent Studio includes SuperFlow (workflow builder), Manager Agent (dynamic orchestration), Knowledge Base (Classic, Graph, Semantic), Voice Agents, Responsible AI, and Agent Eval.

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Architect

Use Architect when you need a full-stack application, not just an API endpoint. Architect generates the frontend, wires in Studio agents, and self-corrects via a QA agent. Best for: proof-of-concept apps, customer-facing tools, internal dashboards.

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ADK (Agent Development Kit)

Use the ADK when:
  • You are integrating Lyzr into an existing Python or TypeScript application.
  • You need fine-grained control over agent behavior and retry logic.
  • You are building CI/CD pipelines that create or update agents programmatically.

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REST API

Use the REST API when:
  • You are calling from a non-Python language (Node, Go, Ruby, and others).
  • You are integrating with an existing API gateway or service mesh.
  • You want direct endpoint control without any SDK abstraction.

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Lyzr Blocks

Lyzr Blocks are modular components you can use without adopting the full Studio:
  • Knowledge Base: RAG-as-a-service endpoint; use from LangChain, Semantic Kernel, or any agent framework.
  • Cognis: Memory-as-a-service with MCP support; plug into Cursor, Claude, or custom agents.
  • Responsible AI: Guardrails-as-a-service; add toxicity, PII, and injection checks to any pipeline.

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Mixing products

These products compose. You can build agents in Agent Studio and import them into Architect apps. The ADK can create agents programmatically that you then manage in Studio. Lyzr Blocks (Knowledge Base, Cognis) are callable from agents built in LangChain or any other framework.