Scaling Intelligence Out: Cisco's Vision for the Internet of Cognition, with Vijoy Pandey

Higher-order protocols for agent collaboration

AI agents require new networking layers above the traditional OSI stack to share context, understand intent, build reputation, and establish trust when solving problems in shared spaces.

Horizontal scaling of intelligence

Rather than concentrating capabilities into monolithic frontier models through resource-intensive scaling 'up,' this paradigm scales intelligence 'out' through distributed, permissionless participation.

Decentralized network architecture

The vision returns to the internet's original decentralized ethos, creating an ecological, buffered network where no single entity can accumulate systemically dangerous amounts of power.

CAPE automation results

Cisco's Community AI Platform Engineer (CAPE) deploys 20 specialized agents that automate 40% of site reliability engineering tasks, reducing team workload by 30% and cutting response times from hours to instantaneous.

Massive tool integration

The system executes 100+ tool calls across cloud-native environments through five user interfaces, handling more than 10 workflows spanning observability, orchestration, networking, and security.

Open-source expansion

Originally developed as Jarvis, the platform has been released through the Cloud Native Operational Excellence community with enterprise contributors including Adobe, AWS, and Nike.

AGNTCY open-source foundation

Cisco leads the AGNTCY project to create standardized protocols allowing AI agents representing different interests and organizations to meaningfully connect, communicate, and collaborate.

Healthcare collaboration demo

A live demonstration showed four independent agents—specializing in diagnostics, insurance, pharmacy, and scheduling—collaborating across organizational boundaries to serve a single patient.

Enterprise security requirements

Distributed architectures provide enterprises with minimum necessary permissions, clean separation of concerns, full auditability, and controlled interfaces for external agent interactions.

Safety through distribution

Unlike frontier models that concentrate dangerous capabilities into single systems, distributed agent networks create resilient architectures resistant to monopolistic control and single points of failure.

Historical civilization parallel

Just as language and distributed culture enabled human civilization to scale cooperation without centralization, the Internet of Cognition aims to enable AI collaboration without dangerous power concentration.