Call for Speakers

in 50 days

AI Agents Day

event date

12 Dec 2026

location

Online

website

aiagents.day

AI Agents Day 2026 — Engineering the Future of Autonomous AI

AI Agents Day 2026 is an intensive, engineering-focused virtual event bringing together software engineers, cloud architects, platform engineering leaders, and cybersecurity professionals who are building the next generation of AI agent systems.

Moving beyond conversational assistants toward increasingly autonomous AI agents requires a robust architectural foundation. From open context protocols and secure tool connectivity to runtime isolation, observability, and governance, building production-ready agentic systems introduces complex engineering challenges.

On Saturday, December 12, 2026, we will explore the architectures, infrastructure, open standards, and security practices required to design, deploy, and operate reliable, secure, and scalable AI agents in real-world production environments.

Through technical deep dives, practical demonstrations, and real-world engineering insights, AI Agents Day connects the global technical community to share knowledge, examine architectural trade-offs, and advance the responsible adoption of agentic technologies.

Build Agents. Share Knowledge. Connect People.

open, 24 days left
Call for Speakers
Call opens at 12:00 AM

17 Oct 2026

Call closes at 11:59 PM

15 Nov 2026

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AI Agents Day 2026 invites software engineers, cloud and software architects, researchers, SREs, platform engineers, and technical leaders who design, build, secure, and operate AI agent systems in the real world.

This fully virtual, publicly accessible global technical event brings together practitioners and communities worldwide to exchange knowledge, share engineering experiences, and advance the adoption of open technologies for agentic systems.

We are looking for technically rigorous sessions that go beyond conceptual discussions and showcase the real challenges of building production-ready AI agents.

Our focus is on open standards, interoperability, secure connectivity, multi-agent architectures, runtime isolation, observability, and governance of autonomous systems.

We especially welcome presentations featuring working code, real-world architectures, production lessons, live demonstrations, and thoughtful analysis of engineering trade-offs.

Technical Tracks & Areas of Interest

1. Model Context Protocol (MCP) & Extensibility

Explore how MCP enables standardized integration between AI agents, tools, enterprise systems, and external services.

Suggested topics:
  • Designing, implementing, deploying, and scaling MCP servers.
  • Decoupled integration with APIs, databases, cloud services, and enterprise platforms.
  • Authentication, authorization, identity propagation, and access control for MCP.
  • Secure tool discovery, execution, and lifecycle management.
  • Production deployment patterns, reliability, and operational challenges.
2. Repo-First Agentic Development & Context Engineering

Explore practical approaches to integrating AI coding agents into modern software engineering workflows.

Suggested topics:
  • Standardizing agent behavior with AGENTS.md and repository-level instructions.
  • Context engineering techniques for large and complex codebases.
  • Deterministic workflows, reproducibility, and hallucination mitigation.
  • Agent-assisted software development, testing, code review, and automation.
  • Managing context boundaries, tool permissions, and engineering guardrails.
3. Multi-Agent Collaboration & Agent2Agent (A2A) Protocols

Discover how independent agents communicate, collaborate, and coordinate across distributed environments.

Suggested topics:

  • Implementing Agent2Agent (A2A) communication and interoperability.
  • Agent orchestration, task delegation, discovery, and handoffs.
  • Designing contracts and communication patterns across heterogeneous agent systems.
  • Open protocols versus proprietary multi-agent frameworks.
  • Reliability, coordination, failure handling, and distributed agent architectures.
4. Agent Traffic Management, Routing & Security

Understand how networking and infrastructure components enable secure, reliable, and observable agent communication.

Suggested topics:
  • Implementing agentgateway and Envoy-based agent routing architectures.
  • Securing agent-to-agent and agent-to-tool communications.
  • Traffic management, policy enforcement, authentication, and authorization.
  • Rate limiting, request inspection, and access control for MCP traffic.
  • Applying API gateway and cloud-native networking patterns to agentic workloads.

5. Runtime Isolation, Sandboxing & MicroVMs

Explore the infrastructure and security boundaries required to safely execute autonomous AI workloads.

Suggested topics:

  • Isolating AI agents with Docker Sandboxes and MicroVM-based environments.
  • Container-based execution and sandbox architecture patterns.
  • Network, memory, process, and filesystem isolation.
  • Reducing the risks of arbitrary code execution and untrusted tool invocation.
  • Ephemeral environments, workload identity, and secure execution boundaries.
  • Running and orchestrating isolated agent workloads in cloud-native environments.

6. AI Governance, Guardrails & Observability

Examine how teams can maintain visibility, accountability, and control over increasingly autonomous AI systems.

Suggested topics:

  • Distributed tracing and observability across agent execution workflows.
  • Monitoring tool calls, model interactions, decisions, and task execution.
  • Runtime guardrails, policy enforcement, and human-in-the-loop controls.
  • Prompt injection defenses, tool misuse prevention, and security testing.
  • Audit trails, governance frameworks, and operational accountability.
  • Evaluating agent reliability, behavior, performance, and production readiness.

Accepted Session Formats

We welcome different presentation formats that deliver meaningful technical value.

Full Technical Talk — 35–40 minutes

A deep technical session focused on software architecture, implementation patterns, distributed systems, operational challenges, or lessons learned from production environments.

Includes a live Q&A segment.

Hands-on Workshop / Live Demo — 50–60 minutes

A practical, implementation-focused session in which attendees can follow real technical workflows.

We encourage live demonstrations involving terminals, source code, infrastructure configurations, APIs, or working agent systems.

Lightning Talk — 15 minutes

A focused presentation highlighting an open-source project, emerging standard, innovative engineering technique, or specific technical challenge.

Ideal for sharing practical discoveries, experiments, and community-driven innovations.

Technical Level & Target Audience

Technical level: Intermediate to Advanced

Our audience includes:

  • Cloud and Software Architects
  • AI and Software Engineers
  • Site Reliability Engineers (SREs)
  • Platform and Infrastructure Engineers
  • DevOps and Cloud Native Practitioners
  • Security Engineers and Cybersecurity Specialists
  • AI Researchers and Open-Source Contributors
  • Engineering Leaders and Technical Decision-Makers

What Makes a Strong Proposal?

We prioritize sessions that:

  • Demonstrate real engineering experience and working implementations.
  • Explain architectural decisions and technical trade-offs.
  • Share production challenges, failures, lessons learned, and measurable outcomes.
  • Introduce practical techniques that attendees can apply in their own environments.
  • Promote open standards, interoperability, security, and responsible AI engineering.
  • Deliver clear technical insights supported by code, diagrams, demonstrations, or real-world examples.
Vendor-neutral, educational content is strongly preferred.

Product demonstrations are welcome when they provide meaningful engineering insight. Sales pitches, marketing-driven presentations, and purely promotional sessions will not be accepted.

Global & Virtual Participation

AI Agents Day 2026 is designed to connect the international technical community without geographical barriers.

The event will take place entirely online, enabling speakers and participants from different countries and technical communities to share ideas, exchange experiences, and learn from one another.

We welcome speakers from diverse backgrounds, organizations, open-source communities, and regions who can contribute valuable engineering perspectives.

Code of Conduct

AI Agents Day is committed to providing a professional, respectful, welcoming, and inclusive environment for everyone.

All speakers, attendees, organizers, and community members are expected to communicate respectfully, encourage constructive technical discussions, and contribute to an environment free from harassment, discrimination, intimidation, or abusive behavior.

We value diverse perspectives, open collaboration, knowledge sharing, and responsible innovation.
By participating in AI Agents Day, you agree to help maintain a positive and inclusive experience for the entire community.

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