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June 9-10, 2026
Bengaluru, India
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


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Tuesday, June 9
 

9:30am IST

Keynote: Welcome & Opening Remarks - Angie Jones, VP Developer Experience, Agentic AI Foundation
Tuesday June 9, 2026 9:30am - 9:40am IST

Speakers
avatar for Angie Jones

Angie Jones

VP of Developer Experience, Agentic AI Foundation
Angie Jones is the VP of Developer Experience at the ​Agentic AI Foundation

An award-winning educator and international keynote speaker, Angie shares her extensive knowledge with software companies and conference audiences worldwide.

As a Master Inventor, Angie is recognized for her innovative, out-of-the-box thinking, which has led to 27 patented inventions in virtual worlds, collaboration software, social networking, smarter planet initiatives, and software development processes... Read More →
Tuesday June 9, 2026 9:30am - 9:40am IST
Convention Hall
  Keynote Sessions
  • Audience Experience Level Any
  • Session Slides Yes

9:40am IST

Keynote: The Foundation for Agentic AI Interoperability - David Nalley, Director of Developer Experience, Amazon Web Services
Tuesday June 9, 2026 9:40am - 9:50am IST

Speakers
avatar for David Nalley

David Nalley

Director, Developer Experience, AWS
David Nalley is Director of Developer Experience at Amazon Web Services (AWS), where he leads efforts to improve how developers interact with AWS services and technologies. He brings over two decades of experience in technology to his role.
Nalley previously served as President of... Read More →
Tuesday June 9, 2026 9:40am - 9:50am IST
Convention Hall
  Keynote Sessions
  • Audience Experience Level Any
  • Session Slides Yes

9:55am IST

Keynote: The Missing Middle: The Shared Infrastructure MCP Needs Before It Hits a Million Servers - Hrittik Roy, vCluster
Tuesday June 9, 2026 9:55am - 10:05am IST
MCP reached infrastructure currency in 13 weeks. CNCF took 13 months. That compression is the problem. The shared plumbing every production MCP deployment now reinvents, because no neutral open implementation exists yet, has to be built in months instead of years.

This talk maps five missing layers of the MCP ecosystem and what each needs before the protocol scales two more orders of magnitude.

1. Discovery federation. One registry lookup does not survive public, private, and vendor registries coexisting.
2. Workload identity for servers. Not user OAuth. Who is this server, who signed it, what is it allowed to do?
3. Observability backbone. OpenTelemetry semantic conventions for MCP are still draft, so every gateway ships its own trace format.
4. Health and reputation signals. When seventeen servers are named github-mcp, which one should an agent trust?
5. Metering and cost attribution. Boring, load bearing, absent from the spec.

For each layer: what exists today, where it breaks at scale, what a minimum viable open implementation needs. Attendees leave with a concrete map of which gaps are urgent, which are deferrable, and which are already being filled.
Speakers
avatar for Hrittik Roy

Hrittik Roy

TPME, vCluster
Hrittik is a Platform Advocate at Loft Labs and a CNCF Ambassador, with expertise in cloud native technologies and open source communities. He has contributed extensively to developer advocacy, technical writing, and community engagement. Hrittik has been a featured speaker at events... Read More →
Tuesday June 9, 2026 9:55am - 10:05am IST
Convention Hall
  Keynote Sessions

10:15am IST

Keynote: Building Trustworthy Agentic AI on India's Digital Public Infrastructure - Jagadish Babu, EkStep Foundation; Neha Jagadeesh, Eka Care; Arjun Venkatraman, Gates Foundation
Tuesday June 9, 2026 10:15am - 10:30am IST
What does it take to build agentic AI systems that are scalable, affordable, and trustworthy for India? This keynote explores the emerging AI stack powering next-generation healthcare and public service workflows from frontier and small models to interoperable MCP architectures and DPI integration.

Speakers from the Gates Foundation, Eka Care, and EkStep Foundation discuss the technical and governance choices that will shape AI deployment across India and other emerging markets.
Speakers
avatar for Jagadish Babu

Jagadish Babu

Chief Operating Officer, EkStep Foundation
Jagadish has helped shape India’s education DPI including DIKSHA. He currently focuses on using AI and generative tools in constrained settings to improve learning and livelihoods. Jagadish leads AXL and contributes to OpenAgriNet/Vistaar.
avatar for Neha Jagadeesh

Neha Jagadeesh

Lead, AI Engineering, Eka Care
Neha Jagadeesh is a founding team member at Eka Care, where she leads AI Engineering. With 13+ years of experience building software, she's a developer at heart, currently building agentic pipelines and LLM systems that turn frontier AI research into products people love to use. She... Read More →
avatar for Arjun Venkatraman

Arjun Venkatraman

Senior Officer, Artificial Intelligence, Gates Foundation
Arjun's work at the Foundation is focused on shaping and scaling the use of artificial intelligence for social good, with a keen focus on enabling inclusion and expanding adoption in public sector service delivery and equitable digital transformation. His work is grounded in over... Read More →
Tuesday June 9, 2026 10:15am - 10:30am IST
Convention Hall
  Keynote Sessions
  • Audience Experience Level Any
  • Session Slides Yes

11:30am IST

From Alert To Revert: One MCP 500+ Tools for Production Triage and Real-world DevOps - Avinash Kumar Lodhi, Coursehero
Tuesday June 9, 2026 11:30am - 11:55am IST
What happens when your on-call agent can read Datadog metrics, tail logs in groundcover, pull pod state from Kubernetes, and grep GitLab for the commit that broke prod, all in one conversation? At Learneo we built one MCP endpoint that does that across 11 upstream servers, 518 indexed tools, and can manage multiple AWS accounts credentials. It changed how we triage incidents.
I'll walk a synthetic incident end to end, with redacted screenshots from real ones, showing the agent go from alert to MR to revert.

Key Takeaways:

- Context: meta-tools and BM25 search keep the agent at about 1.5k tokens, not 500 schemas, and it pulls what it needs on demand
- Routing: a company overview shipped as MCP instructions on connect points the agent at the right cluster and Jira project before it picks a tool
- Memory: an agent-maintained company wiki for org structure, data models, and playbooks. The agent reads it and writes back what it learns
- Security: centralized credentials and a write denylist so the agent can read everything without breaking anything

Attendees will leave understanding both the value and the architecture for turning MCP into production-grade agent infrastructure.
Speakers
avatar for Avinash Kumar Lodhi

Avinash Kumar Lodhi

Staff Software Engineer - Devops, CourseHero
Avinash Kumar Lodhi is a Staff DevOps Engineer on the Course Hero Platform team. His job is to automate and manage things on a large scale. He started as a tester at Teradata ten years ago, then moved to DevOps. He worked at Sprinklr and then at Meesho, moving 500+ microservices from... Read More →
Tuesday June 9, 2026 11:30am - 11:55am IST
Scarlet 2&3
  Enterprise Adoption + Integration

12:00pm IST

Context-Aware MCP Servers for Small Language Models - Vivek Mankar, Anto Ajay Raj John, Stuti Sinha, Reeva Nanda, Nethra Khandige, Pradipta Ghosh, IBM
Tuesday June 9, 2026 12:00pm - 12:25pm IST
Small Language Models are great for edge and cost-sensitive deployments, but struggle with limited context windows. This talk shows how MCP servers can act as an external memory and context orchestration layer for SLMs. Based on a survey of 25+ long-context reasoning techniques, we demo concrete implementations: episodic memory with surprise-based retrieval (EM-LLM-inspired), and a dynamic context orchestrator that picks between RAG, summarization, and sliding-window strategies based on query type and model capacity. This is a builder's guide to making small models punch above their weight via smart MCP-based context engineering.
Speakers
avatar for Vivek Mankar

Vivek Mankar

Staff AI Engineer, IBM
Vivek Mankar is an AI Software Engineer specializing in high-performance AI inference systems and scalable cloud software. Operating at the intersection of deep learning and systems engineering, his work focuses on the PyTorch ecosystem, LLM serving, and MLOps automation. Backed by... Read More →
avatar for Nethra Khandige

Nethra Khandige

AI Engineer, IBM
Nethra Khandige is an AI Engineer at IBM, working on the PyTorch ecosystem, AI inference optimization, and context-aware AI systems. Backed by a strong research foundation, including published work in malware detection, neural network inference, deep reinforcement learning with published... Read More →
avatar for Anto Ajay Raj John

Anto Ajay Raj John

AI Engineering Manager, IBM
Anto John is a senior manager for AI with industry experience of 20 years. He has been working on AI projects for the past 10 years in various capacity. He was one of the core team members of the IBM BlueGene/Q supercomputer. He was the performance architect for IBM Power Systems... Read More →
avatar for Stuti Sinha

Stuti Sinha

Software Engineer, IBM
Stuti Sinha is a researcher and developer focused on the intersection of model efficiency and AI safety. With a background in Python, Java, and C++, she specializes in the PyTorch ecosystem, specifically optimizing Long Context Reasoning and architecture for Small Language Models... Read More →
avatar for Reeva Nanda

Reeva Nanda

Software Engineer, IBM India
Reeva Nanda is a software developer and AI ML researcher with strong theoretical foundations in generative AI, deep learning, and neural network architectures. Deeply passionate about the mathematics underpinning modern AI , particularly linear algebra and its role in model design... Read More →
avatar for Pradipta Ghosh

Pradipta Ghosh

AI software Architect, IBM
Tuesday June 9, 2026 12:00pm - 12:25pm IST
Scarlet 2&3
  Building with MCP

1:55pm IST

Designing a Control Plane for Agentic Systems Using MCP - Malepati Bala Siva Sai Akhil, Couchbase
Tuesday June 9, 2026 1:55pm - 2:20pm IST
As MCP-based systems grow in complexity, standardizing tool interaction alone is not enough to ensure reliable execution.

This talk introduces a control-plane perspective for MCP-based systems, grounded in distributed systems principles such as scheduling, retries, idempotency, and fault isolation. Coordinating multi-step workflows across MCP servers introduces challenges such as partial failures, inconsistent state, and retry behavior that can escalate under load.

The focus is on how a control plane actively manages execution, including deciding when and how tool calls are made, handling failures dynamically, and coordinating workflows across multiple services. It also examines how centralized control improves reliability and consistency in complex MCP-based systems.

Attendees will gain concrete mental models for building scalable and reliable MCP-based systems.
Speakers
avatar for Malepati Bala Siva Sai Akhil

Malepati Bala Siva Sai Akhil

Principal Software Engineer, Couchbase
Principal Software Engineer at Couchbase with 10+ years building distributed systems, AI infrastructure and cloud-native platforms across Intel, VMware, and Huawei. IEEE Computing Top 30 (2024) and Intel Distinguished Inventor Award recipient for work in security, distributed systems... Read More →
Tuesday June 9, 2026 1:55pm - 2:20pm IST
Scarlet 2&3
  Agent Architecture + Orchestration

1:55pm IST

From SSE To Streamable HTTP: What Actually Changed in MCP's Transport Layer and Why You Should Care - Animesh Pathak, Harness Inc
Tuesday June 9, 2026 1:55pm - 2:20pm IST
When I started building MCP-powered agents and Claude Skills at Harness, I kept running into weird transport issues, connections dropping behind load balancers, SSE endpoints behaving differently across clients, tutorials that contradicted the actual spec. Turns out, MCP's transport layer had quietly gone through a major overhaul and most of the content out there hadn't caught up.

In this talk, I'll walk through MCP's transport journey, stdio for local tooling, the dual-endpoint SSE model that powered early remote servers, and the Streamable HTTP design that replaced it in the March 2025 spec update. More importantly, I'll explain why each shift happened: the scaling headaches SSE caused, the connection recovery gap, and the auth/CORS simplifications that Streamable HTTP unlocked.

I'll share code from actual migrations I've worked through, what breaks when you switch, what gets simpler, and the backward-compatibility gotchas that the docs don't warn you about. If you're building or maintaining MCP servers today, this should save you a few weekends of debugging.
Speakers
avatar for Animesh Pathak

Animesh Pathak

DevRel Engineer, Harness
Tuesday June 9, 2026 1:55pm - 2:20pm IST
Convention Hall
  MCP Protocol in Depth

2:25pm IST

Voice-First MCP: Real-Time Tool Calling Through a Spoken Interface - Samyuktha Mohan Alagiri, IBM
Tuesday June 9, 2026 2:25pm - 2:50pm IST
Every MCP demo assumes text in and text out. This talk explores what actually happens when you replace the text interface with a live voice stream.
Connecting a real-time voice pipeline to an MCP-backed agent introduces problems that the current MCP ecosystem has no established answers for. This talk walks through them one by one: end-of-turn detection and how tool-calling latency affects perceived conversational fluency, interruption handling when a user speaks while a tool is executing, tool result verbalization where structured JSON responses need to be narrated naturally without losing meaning, and error communication when a tool fails mid-conversation.
The talk is grounded in a working system built with a real-time voice layer, Sarvam AI for speech processing, and MCP-connected agents handling live tool calls. Attendees will see a live demo and leave with an architectural blueprint for voice-first MCP agents, including the specific latency budgets, buffering strategies, and verbalization patterns that make the experience feel natural rather than robotic.
This is a frontier that very few builders have shipped in production.
Speakers
avatar for Samyuktha M S

Samyuktha M S

Software Developer, IBM
Samyuktha is a Software Developer at IBM India Software Labs who loves building things that actually work in production, from voice agents and multilingual multi-agent pipelines to self-healing infrastructure using MCP, LangGraph, Claude, and Qdrant. A 13x hackathon winner including... Read More →
Tuesday June 9, 2026 2:25pm - 2:50pm IST
Convention Hall
  Building with MCP

2:55pm IST

Putting MCP on a Diet: A Proxy for Tool Scoping and Context Compression - Prathamesh Saraf, Truefoundry
Tuesday June 9, 2026 2:55pm - 3:20pm IST
Connect three MCP servers and 55,000 tokens are consumed before the agent reads the user's query. Perplexity's CTO called this out at Ask 2026. Cloudflare measured 244,000 tokens for their API surface. The protocol isn't the problem. The "load everything upfront" pattern is.

FastMCP Code Mode solves this server-side, but requires the server author to opt in. Most MCP servers in the wild will never add it.

I'm currently building mcp-guardian, an open-source Python proxy that addresses this for any server, unmodified. It will do two things:

1. Tool scoping: filter tools/list against a YAML config so agents only see allowed tools. delete_repo won't exist in the agent's world.

2. Progressive disclosure: expose three meta-tools (search_tools, get_schema, execute_tool) instead of full schemas. Agents will start at ~300 tokens instead of ~8,000 and load schemas on demand.

I'll live-demo: direct connection (14 tools, ~8,000 tokens) vs through the proxy (3 meta-tools, ~300 tokens). I'll walk through the JSON-RPC interception, share token benchmarks, and compare with Code Mode. They're complementary, not competing.

The project will be open source.
Speakers
avatar for Prathamesh Saraf

Prathamesh Saraf

Sr. Forward Deployed Engineer, Truefoundry
I'm a senior forward-deployed engineer specializing in GenAI: voice agents, agentic workflows, RAG, and the infrastructure underneath. I ship in customer environments, with customer teams, against customer constraints, and I stay through the part where systems have to actually keep... Read More →
Tuesday June 9, 2026 2:55pm - 3:20pm IST
Convention Hall
  Building with MCP

2:55pm IST

InstaMCP: Instant MCP-ification of Enterprise APIs - Rupal Sharma & Ujjal Sharma, Nutanix
Tuesday June 9, 2026 2:55pm - 3:20pm IST
This session introduces InstaMCP, a common platform designed to instantly "MCP-ify" enterprise APIs and eliminate the need for redundant "glue code" currently required to connect LLMs to internal products. This solution addresses siloed AI integrations and maintenance bottlenecks within large SaaS ecosystems. InstaMCP automatically ingests Swagger/OpenAPI specifications to generate fully deployable, secure Model Context Protocol (MCP) servers in minutes. It moves beyond simple 1:1 API mapping by providing a visual, low-code interface for developers to stitch multiple APIs into complex, multi-step workflow tools for seamless agent execution. Attendees will explore the platform's architecture, automated MCP server generation, and how it addresses the critical "security blindspot" by accommodating token-exchange and other guardrails.
Speakers
avatar for Rupal Sharma

Rupal Sharma

Staff Engineer, Nutanix
A software engineer with more than a decade of experience architecting high-scale platforms across Fintech, Telecom, and Identity. Specialist in major platform modernization and high-concurrency systems.
avatar for Ujjal Sharma

Ujjal Sharma

Member of Technical Staff, Nutanix
Building enterprise grade AI agents and MCP servers
Tuesday June 9, 2026 2:55pm - 3:20pm IST
Scarlet 2&3
  Enterprise Adoption + Integration
  • Audience Experience Level Beginner
  • Session Slides Yes

3:25pm IST

MCP Schema Evolution: Versioning Tool Contracts Without Breaking Agents - Yogesh Sardana, Cloud Engineering Leader & Researcher
Tuesday June 9, 2026 3:25pm - 3:50pm IST
This is just not about a single organisation but for every organisation, tool schemas in MCP evolve as platforms change parameters get renamed, new required fields are added, response shapes shift. Agents built against an older schema break silently, produce incorrect results, or enter undefined behavior, and there is no established SemVer discipline for MCP tools today. This session proposes a practical versioning specification for MCP tool definitions covering additive-only change policies, explicit deprecation signals embedded in tool metadata, capability negotiation via request headers, and client-side schema compatibility layers. The session demonstrates these patterns with a real Kubernetes tool server that ships v1 and v2 tool definitions side by side, with running agents targeting each version independently, and a live migration showing how a breaking change is introduced and absorbed without downtime.
Speakers
avatar for Yogesh Sardana

Yogesh Sardana

Cloud Leader, Independent
I'm working as a Cloud Leader, part of R&D wing, known as Jack of all trades but master of Cloud. Been into various tech stacks before of SDLC like Full Stack App Dev, Testing, Data Analytics, having fun with tech.
Tuesday June 9, 2026 3:25pm - 3:50pm IST
Convention Hall
  MCP Protocol in Depth
  • Audience Experience Level Any
  • Session Slides Yes

4:20pm IST

MCP Resources Are Already a Knowledge Graph - You Are Just Not Reading the Headers - Kesigan Anbalagan, Comcast
Tuesday June 9, 2026 4:20pm - 4:45pm IST
Most retrieval systems ignore the structure MCP Resources already provide unique URIs, typed links, version metadata, timestamps and flatten everything into vector chunks. GraphRAG proved retrieval needs relational structure; MCP already has it natively.
This talk demonstrates with a live adversarial demo: a vanilla RAG agent and a Resource-graph agent answer the same questions against the same corpus. RAG works on single-hop queries. It confidently returns stale data when a superseded document exists. The graph agent catches the version conflict using last-modified metadata that was already there. When the graph has a broken link, it reports the dead end instead of hallucinating.
A hop-count benchmark across seven questions (1–5 hops) makes the gap measurable: at three hops, RAG hit rate dropped to 50% while graph traversal held at 100%.
The primary deliverable is a draft cross-reference metadata convention four optional fields (superseded_by, depends_on, implements, compliance_scope) that any MCP Resource provider can add without breaking existing consumers. The goal: make knowledge as navigable for AI agents as hypertext made the web for people.
Speakers
avatar for Kesigan Anbalagan

Kesigan Anbalagan

Principal Engineer, Comcast India Engineering Center LPP
I am Kesigan Anbalagan technology leader and AI enthusiast with extensive experience in cloud-native solutions, developer experience platforms, and enterprise AI integration. As part of the Central DevX team at Comcast, he focuses on embedding AI across the software development lifecycle... Read More →
Tuesday June 9, 2026 4:20pm - 4:45pm IST
Convention Hall
  Building with MCP

4:20pm IST

MCPeek Into Your Server's Secrets - Akash Sathish, Sahaj Software
Tuesday June 9, 2026 4:20pm - 4:45pm IST
Most "MCP security scanners" are wrappers around npm audit and regex keyword rules. A November 2025 research survey showed 0% detection on TypeScript servers because the underlying tools never parse the AST and two-thirds of public MCP servers ship in TypeScript.

This talk walks through building an AST pipeline using ts-morph that catches what keyword rules miss: path traversal through fs wrapper functions, command injection even when the command is assembled across intermediate variables, SSRF through aliased URL parameters, and tool handlers registered without any schema validation. The key technical contribution is multi-pass taint tracking following a user parameter through variable aliases before reaching a dangerous sink, which eliminates the false-negative class that makes regex rules useless. Audited against more than 50 MCP servers.

Attendees leave with:
(1) the open-source MCPeek ruleset to drop into CI,
(2) a decision framework for choosing SAST depth per vulnerability class,
(3) the taint-tracking pattern for building MCP-aware rules in any language.

Link to MCPeek: https://github.com/iamakash-06/MCPeek
NPM Package: https://www.npmjs.com/package/mcpeek
Speakers
avatar for Akash Sathish

Akash Sathish

Solution Consultant, Sahaj Software
I'm a Solution Consultant at Sahaj Software in Chennai. I've been neck-deep in MCP, AI-Assisted Development, and agentic architectures since before they had proper names. I've spoken at GitTogether 2025, The Fifth Elephant 2025, and six other conferences across AI-assisted development... Read More →
Tuesday June 9, 2026 4:20pm - 4:45pm IST
Scarlet 2&3
  Security Identity + Trust

4:50pm IST

When MCP Meets Reality: Performance, Latency, and the Hidden Cost of AI Orchestration in Enterprises - Partha Sarthy, Applied Materials
Tuesday June 9, 2026 4:50pm - 5:15pm IST
MCP enables powerful AI-driven workflows — but production enterprise systems have SLAs, throughput contracts, and years of performance tuning. Wiring a reasoning loop into that environment reveals costs that don't show up in demos: latency amplification from sequential tool invocations, data movement overhead across system boundaries, schema drift, and observability gaps that span model reasoning and distributed backends.

This talk takes a systems-engineering lens to MCP in enterprise-scale data platforms. We formalize the MCP execution pipeline, identify where overhead accumulates, and present architectural patterns that contain the cost — including isolating orchestration from hot paths, fronting high-performance backends with thin MCP adapters over gRPC, and tracing multi-step workflows end to end.

The central argument: MCP belongs on the control plane, not the data plane. Enforce that boundary, and you gain adaptive orchestration without sacrificing reliability. Cross it, and predictability erodes fast. Attendees leave with a latency model, a failure-mode taxonomy, and a practical framework for deploying MCP in production — deliberately, not by accident.
Speakers
avatar for Partha Sarthy

Partha Sarthy

Software Engineer, Applied Materials
I am a Software Engineer at Applied Materials working in the HPC and AI domain. I have a cumulative experience of close to 8.5 years and have served in companies like HPE, Juniper and Cisco. I am also an active member of IEEE and have presented in Conferences relating to Solid State... Read More →
Tuesday June 9, 2026 4:50pm - 5:15pm IST
Convention Hall
  Enterprise Adoption + Integration

5:20pm IST

MCP + Kubernetes: Building a Self-Healing AI Platform (Not Just Pipelines) - Raghu Reddy, Calix & Esakki Raj E, Cisco
Tuesday June 9, 2026 5:20pm - 5:45pm IST
Most teams treat MCP as a pipeline, and that is the problem. Pipelines fail silently. They have no concept of desired state, no reconciliation loop, and no recovery path when a model times out or a tool call returns garbage. You are essentially writing bash scripts with an LLM in the middle.

Kubernetes already solved this. The operator pattern gives you level-triggered reconciliation, retry logic with backoff, and declarative desired state baked into the control plane. Combine that with MCP's tool abstraction and you stop writing pipelines and start building platforms where AI workflows are first-class resources that the cluster actively keeps healthy. GitOps via ArgoCD means your model routing, fallback configurations, and tool permissions are version-controlled, auditable, and promotable across environments like any other workload.

We will cover: modeling MCP workflows as Kubernetes custom resources, building operators that reconcile AI workflow state including fallback model selection and tool availability, wiring ArgoCD to manage MCP server deployments and configuration drift, and the observability hooks you need to actually trust that self-healing fired correctly.
Speakers
avatar for Esakki Raj E

Esakki Raj E

Senior AIOps Engineer, Cisco
Experienced Site Reliability Engineer (SRE) and MLOps specialist with over 9+ years of practical experience in designing, implementing, and managing cloud-based infrastructure and services. Proven track record in architecting and scaling large-scale AI/ML infrastructure on Kubernetes... Read More →
avatar for Raghu Reddy

Raghu Reddy

Staff Platform Engineer (Security), Calix Inc
Raghu is a Staff Platform Engineer (Security) at Calix Inc. , where he secures Kubernetes infrastructure powering AI and MLOps workloads across multiple clusters.
With over 10 years in Platform Engineering and Security. Applying supply chain security, runtime hardening, and policy... Read More →
Tuesday June 9, 2026 5:20pm - 5:45pm IST
Scarlet 2&3
  Agent Architecture + Orchestration
 
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