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Introducing Lyzr: The Enterprise Agent Framework
Lyzr is a sophisticated agent framework designed with an agentic approach to building generative AI applications. By combining highly configurable agents with pre-built RAG pipelines and robust safety features, Lyzr enables developers to deploy enterprise-ready solutions in minutes rather than weeks.
Flexible Deployment
Whether you prefer a low-code environment or direct integration, Lyzr fits your workflow:
- Lyzr Studio: Build, test, and iterate on your agents in a dedicated sandbox.
- REST APIs: Seamlessly integrate agentic capabilities directly into your existing tech stack via comprehensive API documentation.
Core Capabilities
Lyzr simplifies the complexity of modern AI, allowing you to launch high-impact tools with minimal effort:
- Intelligent Search: Advanced knowledge search and RAG-powered applications.
- Data & Interaction: AI chatbots and automated data-analysis assistants.
- Workflow Automation: Complex, multi-agent orchestrations for end-to-end business processes.
- Safety First: Built-in responsible AI guardrails to ensure secure enterprise adoption.
Lyzr’s Safe and Responsible AI Architecture
Lyzr’s framework incorporates our proprietary Safe and Responsible AI features directly into the agent inference flow. Every agent you build benefits from:
- Input filtering and sanitization
- Bias and toxicity checks
- Privacy protections
- Audit-ready logging
Ensuring high accuracy, compliance, and traceability for all results.
Who Is Lyzr For?
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Developers
You’ll love the simplicity of the framework and rapid prototyping capabilities.
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CTOs & CPOs
Seamlessly integrate generative AI into your products with configurable agents—minimal learning curve for your in-house team.
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CIOs
Introduce GenAI enterprise-wide with our Safe and Responsible AI architecture, plus use the AI Management System (AIMS) to manage agents, monitor logs, and train your team via the in-built Lyzr Academy.
Orchestration Modes
Lyzr provides two distinct orchestration paradigms:
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Directed Acyclic Graph (DAG) Orchestration
Ideal when your workflow has well-defined, dependent tasks.
- Ensures all dependencies are resolved in order
- Provides full traceability
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Managerial Orchestration
Suited for dynamic workflows where tasks evolve at runtime.
- A “manager” agent decomposes goals into subtasks
- Handles retries, branching, and fault recovery
- Adapts to changing requirements on the fly