As autonomous AI agents gain traction across industries, frameworks like Auto-GPT and CrewAI have showcased their potential but also exposed critical limitations: uncontrolled token usage, narrow domain adaptability, and lack of enterprise-grade safety controls.

In this session, we will introduce SynapseAI, a new open-source framework designed to build cost-efficient, scalable, and safe AI agents that go beyond experimental use. With a modular multi-agent architecture, SynapseAI enables intelligent delegation through specialized roles (Planner, Executor, Verifier, Auditor) and integrates dynamic model selection and token budgeting to reduce cost and carbon footprint.

Its core innovation lies in the Trust Layer, a human-aligned safety system that enables approval gates, transparent logging, and rollback-safe actions. Designed for real-world use across industries, SynapseAI includes plug-and-play integrations with enterprise APIs and domain-adaptive plugins for DevOps, finance, logistics, and healthcare.

This session will walk attendees through the motivation, design, and use cases of SynapseAI, including a live DevOps demo and practical steps to get started. Whether you're building internal automation or scaling customer-facing agents, SynapseAI offers a reliable foundation.