During the NVIDIA GTC 2026 event, the tech giant unveiled NeMoClaw, a significant development in agentic AI frameworks. Built on OpenClaw, NeMoClaw introduces enhanced security and privacy features, making AI agents more suitable for enterprise use. This move underscores NVIDIA’s commitment to deepening its presence in the AI software and agent development sector, joining other major companies like Google, Amazon, and Microsoft in this competitive space.
### The Rise of Agentic AI Frameworks
Building AI agents from scratch is a complex and time-consuming process. Agentic AI frameworks offer a solution by providing pre-built features and functions, acting as operating systems for autonomous software. This development is similar to the early days of cloud computing, where companies raced to establish dominant platforms. Popular frameworks like LangChain and LlamaIndex are already making waves, and big tech companies are integrating these frameworks with their cloud and AI ecosystems.
Ashvin Vellody, Partner at Deloitte India, highlights the demand for these frameworks, driven by enterprise needs and the push from technology vendors. The focus is on making AI technology accessible to a broader range of developers, enabling them to create product-grade solutions and embed these capabilities into business workflows.
### India’s Role in the Agentic AI Landscape
In India, the focus is shifting towards the orchestration and application layers of AI frameworks. Startups like Razorpay and Gnani.ai are leading this charge. Razorpay’s Agentic AI Studio, developed in partnership with Anthropic’s Claude model, is being tested with partners like Swiggy and Zomato to enable AI-driven transactions. This platform operates at the orchestration and application layers, allowing businesses to deploy AI agents for specific use cases.
Similarly, Gnani.ai’s Inya platform offers a rapid deployment solution for voice agents, reflecting a broader trend among Indian startups to focus on these layers rather than foundational models. This approach offers lower entry barriers and quicker monetisation opportunities.
### The Future of AI Agent Frameworks
The race to develop AI agent frameworks is not just about technology but also about controlling the monetisation layer of AI. Companies are positioning their frameworks as gateways for enterprise AI, creating multiple revenue streams through subscription fees, usage-based fees, or outcome-linked pricing.
In India, factors like cost efficiency and multilingual capabilities are crucial. Experts predict that lightweight, modular frameworks will gain traction over heavy enterprise stacks. As the market matures, the focus will shift to how effectively organisations can use these frameworks to drive business outcomes.
Looking ahead, the landscape of AI agent frameworks is expected to consolidate into a few dominant platforms. Control over context and governance will determine the winners in this evolving field, much like the cloud and mobile sectors before it.
