November brought a fresh wave of upgrades across models, interoperability, UI, and content capabilities. These changes make it easier to build, manage, connect, and scale AI agents inside Lyzr Agent Studio.
Below is a walkthrough of everything that’s new.
1. Added the Latest AI Models
Lyzr now includes Gemini 3, Claude 4.5 Opus, the entire GPT-5 series, and Nvidia BYOM (Bring Your Own Model) support.
This expansion gives teams more freedom to pick the right model for each workflow, whether it’s reasoning-heavy tasks, fast response generation, or private deployment using custom Nvidia models.
Developers and enterprises can swap, compare, and ship agents on whichever model works best without vendor lock-in.
2. Credits Can Be Distributed Across Sub-Accounts
A long-requested update. Credits can now be allocated across sub-accounts, giving organizations better control over usage, budgeting, and access. This is especially useful for teams handling multiple clients, internal departments, or project-based agent deployments.
3. PPT Can Be Generated via File Output
Agents can now generate PowerPoint files as part of their output. From research briefings and competitive analysis to onboarding decks, agents can automatically compile structured content into a ready-to-download PPT. This shifts content generation from text-only to presentation-ready without extra manual formatting.
4. UI Improvements
Several interface updates landed to make agent management faster and cleaner:
- Tabs for easy filtering: Quickly jump between agent categories.
- Multi-select: Delete, organize, or move multiple agents in one go.
- Knowledge Base improvements: Faster loading, better structure, and easier editing.
Overall, the workspace feels more organized, especially for accounts running large agent libraries.
5. Interoperability via MCP
Lyzr now connects to any public or private MCP (Model Context Protocol) server. This opens up deeper integrations with external systems, data sources, and developer workflows. Modern AI systems rely on context-rich environments, and MCP support helps Lyzr plug into these environments without custom workarounds.
6. Interoperability via A2A (Agent-to-Agent)
The new A2A capability enables multi-agent orchestration. Lyzr agents can now work alongside agents built on external platforms, passing tasks, data, and decisions between each other.
This is a major step for teams building distributed AI ecosystems that require agents to coordinate across tools, products, or services.
Wrapping Up
November’s updates push Lyzr closer to a fully connected, flexible, and enterprise-ready agent ecosystem. With new models, deeper interoperability, stronger account controls, and a smoother UI, teams can design and deploy agents with less friction and more control.
The pace of innovation continues, and upcoming releases will build on this foundation to support even more complex, high-scale agent systems.
Stay tuned for more updates & start building with studio today
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