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Track the latest features, improvements, and fixes shipped to Lyzr Agent Studio.

July 21, 2026

  • Admin Dashboard Insights: Enterprise plan admins can now view all user insights in a single dashboard, making it easier to spot trends and make decisions across the organization.
  • Custom Guardrails: Connect a guardrail to your own HTTP endpoint to enforce organization-specific validation, compliance, or moderation rules.
  • Improved Git integration: Connecting an agent to Git now supports a lot more functionality.
  • One-Shot RAG: Retrieves relevant context and generates a response in a single LLM call, ideal for straightforward question-answering where one retrieval pass is enough.
  • A2A in the registry: Agent-to-Agent (A2A) agents can now be added directly to the registry, in addition to being used in orchestration.
  • New memory providers: Added GBrain, Azure AI Foundry, Vertex AI Memory Bank, and Vertex AI Sessions.
  • Voice: Bring Your Own Model: Voice agents now support bringing your own model.
  • Agent tagging and deactivation: Add tags and metadata to agents for easier filtering, and deactivate any agent when it’s no longer needed.
  • Simpler tool selection: When adding tools, all actions are selected by default instead of requiring you to pick each one, making agent building faster via both Architect and the conversation builder.
  • Usability improvements:
    • In-product feedback collection.
    • Playground fixes.
    • A utility agent that helps you pick the right model for your agent.
    • A utility agent that analyzes your traces.
  • Studio redesign: A cleaner design, improved navigation, and a more intuitive experience across Studio. The sidebar is better organized, and core flows like Agent Builder, Knowledge Base, Playground, and Deployment are now faster to use.
  • Agent Improvement Engine: Keep production agents reliable by monitoring performance, catching issues early, receiving proactive alerts, and setting rate limits to prevent unexpected costs.
  • Usage reports: Download detailed usage reports for visibility into agent performance across your organization, including usage trends, key metrics, and per-user activity.
  • Guardrails node in SuperFlow: Add guardrails as a node directly in your SuperFlow workflows.
  • ArangoDB connector: Added as a new Data Connector.
  • Storage security: Improved security for all stored files, including file uploads, Knowledge Base, and Knowledge Graph.
  • Native app integrations: Surface any Lyzr agent in Microsoft Teams, Slack, or Telegram and talk to it directly from the app your team already uses.
  • Vertex AI models: Now available on the Models page, where you can add your own credentials.
  • Fallback models: Configure up to 3 fallback models so your agents keep running automatically if an LLM provider goes down.
  • New guardrails: Valid OpenAPI Schema and Valid SQL, to validate SQL queries and OpenAPI schemas directly within your agents.
  • AI Tool Suggestor: Describe what you need in plain English while adding tools, and Lyzr identifies the right tool and capabilities for you.
  • PII Guardrail improvements: Better detection and masking quality for personally identifiable information.
  • SharePoint permission sync: Knowledge Base access now respects SharePoint folder and file permissions.
  • Skills: Modular building blocks that define what an agent can do, including code, tool integrations, or multi-step prompts. Skills can interact with resources like filesystems or external APIs to enable structured, repeatable, complex workflows.
  • Near real-time Knowledge Base: Added Microsoft SharePoint support, with Google Drive coming soon. Webhook-powered updates pull the latest information from SharePoint files, and tracked websites update automatically when they change.
  • Sub-account credit limits: Set credit limits for sub-accounts and get an email notification whenever one is about to cross its limit.
  • New memory providers: Added Mem0 and Supermemory.
  • LLM-as-Judge: Validate agent responses using an independent model. Choose the model, define custom evaluation instructions, and let an external agent review outputs.
  • New database connectors: Added Oracle and Databricks.
  • Grok models: Now available as a model provider.
  • CSV as direct file input: Upload CSV files directly as input, with no extra conversion step.
  • MCP resources and prompts: MCP integrations can now bring in resources and prompts, not just tools.
  • Gibberish Text guardrail: New guardrail to detect gibberish text.
  • Improved resource sharing: Sharing an agent now shares its connected Knowledge Base too, and sharing a manager agent shares all of its sub-agents.