For fast-growing, cloud-native Organizations, velocity is everything. The race is no longer about just querying a model—it’s about building highly scalable, code-first multi-agent systems that can delegate tasks, interact with open protocols, and run autonomous, long-horizon workflows without melting your infrastructure budget. Transitioning to the Gemini Enterprise Agent Platform provides developers with a production-grade, multi-language ecosystem built to orchestrate and scale decentralized agent networks seamlessly.
Fragile Multi-Agent Orchestration: Hardcoded scripts fail when managing complex, nonlinear dependencies across a web of specialized agents, creating severe reasoning drift.
The "State & Memory" Problem: Custombuilding long-term context storage and vector management drains massive engineering cycles and inflates prompt window costs.
Tooling Silos and Lock-in: Fragmented opensource tools make it brutally difficult to standardize enterprise integrations, secure tool access, and hot-swap models.
Graph-Based Reasoning Framework: Transitioning to modular, graph-based execution architectures for micro-agent synchronization and deterministic workflow routing.
Infinite State Autonomy: Utilizing a fully managed memory architecture that allows agents to retain persistent context, histories, and user preferences over months, not sessions.
Native Open Protocols & Multi-Model Flexibility: Standardizing on open frameworks like the Model Context Protocol (MCP) to access tools instantly, while maintaining the freedom to hot-swap between 200+ models.
Full control with native Python/Go SDKs, graph-based logic frameworks, and native MCP server support.
Sub-second cold starts and persistent Memory Banks acting as long-term context streams without token bloat.
Stress-test logic against thousands of synthetic interactions and map execution trace spans seamlessly.
Full control with native Python/Go SDKs, graph-based logic frameworks, and native MCP server support.
Enforce machine-speed compliance. Every deployed agent receives a
unique cryptographic Agent Identity, while Agent Gateway acts as air traffic control.
Instantly connect your agent fleet to live developer and data stacks (GKE, Cloud Run, BigQuery, Jira, and GitHub) using pre-built enterprise connectors.
Connect directly with Google Cloud AI engineers and Core Product Teams to push the technical boundaries of your multi-agent mesh networks.
Registration
Kickoff
Google Presentation: From Vertex AI to Enterprise Readiness
Demo: Watch AI at work
Brio Presentation: Brio and Beyond
Q&A & Closing Remarks
Networking Dinner