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Lyzr Blocks are standalone AI capabilities — available as independent API endpoints you can add to any application or agent framework. You don’t need Agent Studio or a full Lyzr agent to use them.

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Available blocks

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Knowledge Base

RAG-as-a-service. Create a knowledge base, upload documents, and query it from any application, including LangChain agents, Semantic Kernel, and custom code. The same Knowledge Base you build in Agent Studio is accessible as a standalone service. One KB, used by any agent from any framework.

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Knowledge Graph

Graph-as-a-service. Connect a Neo4j instance, upload documents, and query entity relationships across your content using natural language. Where the Knowledge Base retrieves text chunks, Knowledge Graph traverses typed connections between concepts, enabling accurate answers to multi-hop queries that span multiple documents.

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Cognis (Memory)

Memory-as-a-service. Lyzr’s production-grade memory module available via API and MCP. Plug Cognis into any agent for cross-session, temporal-aware memory without building a memory system yourself. Available integrations: Cursor, Claude Desktop, Zed, Opencode, and any custom agent via the Cognis MCP server or REST API.

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Responsible AI

Guardrails-as-a-service. Apply toxicity detection, PII redaction, prompt injection protection, and content filtering to any pipeline, not just Lyzr agents.

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Agent Simulation Engine

Simulation-as-a-service. Test and harden AI agents through automated persona and scenario combinations before they reach production. The engine generates synthetic conversations, evaluates responses across accuracy, safety, and helpfulness metrics, and rewrites agent instructions based on the failures it finds. Available as a Python SDK and REST API.

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Voice Agents

Voice infrastructure for building conversational phone experiences. Includes telephony integrations (Twilio, Telnyx, Plivo), real-time transcription, and analytics, usable independently of Agent Studio.

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When to use Blocks vs. Agent Studio

Use Blocks when:
  • You have existing infrastructure (LangChain, custom) and want to add one specific capability
  • You want your KB or memory layer to be independent of the agent framework
  • You’re integrating into a non-Lyzr stack (e.g., a CrewAI or LangGraph pipeline)
Use Agent Studio when:
  • You want the full agent experience: visual building, monitoring, eval, and governance
  • You’re building new agents from scratch rather than adding to an existing system