As teams put AI agents to work, they need to move quickly without losing control of what they deploy. They’re combining models, tools, and infrastructure from across a fast-changing ecosystem. Making those pieces work together and keeping them accountable as the stack evolves is becoming a core part of building AI applications.
Docker’s approach to this challenge is providing a trusted, common foundation for containment, curation, and control of agent workloads at its core, while pairing those capabilities with an open ecosystem of partners and tools.
That ecosystem spans model providers, MCP tools and gateways, enterprise applications, data and memory platforms, identity, security, observability, and code quality. It also includes the cloud providers, systems integrators, and channel partners that help organizations bring these capabilities into production.
Integrating this ecosystem gives teams the freedom to choose the models, platforms, and clouds that fit their needs while maintaining a consistent foundation for governance. Developers remain in the lead: choosing what agents can access, directing their work, and verifying the outcomes. The goal is to give them the tools and guardrails to build with confidence as models, frameworks, and requirements change.
At WeAreDevelopers World Congress North America, September 23–25 in San Jose, partners and customers are bringing that ecosystem to life at the Docker Pavilion. Customer sessions will show how these technologies come together in practice, from repeatable AI deployments at the edge to simpler development with payment APIs. Lightning talks and demos will explore enterprise knowledge and agent memory, collaboration between agents, security and incident response, and verification of generated code.
Here’s who you can meet and what they’ll be sharing.
Customer talks — September 24
Customers bring another essential perspective: how these technologies come together in the systems they build.
Spectro Cloud: In “Repeatable Agentic Workloads on Palette,” Colton Shaw will demonstrate how a versioned cluster profile brings together hardened images, local inference, and agent workloads for repeatable edge deployments, including environments without a cloud connection. 12:15–12:30 PM.
Joint panel “From TokenMaxxing to True AI Ownership,” hosted by Per Krogslund from Docker and executives from Spectro Cloud and J.P. Morgan Payments, for a conversation about moving beyond token consumption toward ownership of how AI is deployed, governed, and put to work. September 24, 3:45 PM.
J.P. Morgan Payments: In “Insert Coin: docker compose up with J.P. Morgan Payments,” Alan Torrance will show how developers can run Unicorn Finance with one command and no API keys. The open source example brings a client, mock server, and the real OpenAPI specifications behind J.P. Morgan’s Payments APIs together in two containers. 4:30–4:45 PM.
Partner talks — Sep 24, 2026
Palo Alto Networks: Investigate agent activity through searchable audit records and live detections in Cortex XSIAM, with Cameron Hyde showing the integration in action. 11:15–11:30 AM.
Datadog: Follow an agent security incident from detection to investigation and response, with Amrita Lakhanpal connecting AI Guard, service context, and incident management. 12:45–1:00 PM.
ClickHouse: Reduce unnecessary components in your database’s base image. Zoe Steinkamp will walk through running ClickHouse on Docker Hardened Images. 1:15–1:30 PM.
Prediction Guard: Explore how execution isolation and controls over model calls work together, with Sharan Shirodkar testing both against a poisoned tool output. 3:15–3:30 PM.
Snyk: See the prompts, file activity, and generated code behind an agent’s work, with Javier Garza demonstrating the Evo Agentic Development Security Sandbox Kit. 5:00–5:15 PM.
Partner talks — Sep 25, 2026
GitGuardian: Put controls around the moments an agent reads files, edits code, or runs commands, with Dwayne McDaniel showing how hooks can help protect secrets. 9:00–9:15 AM.
Mend.io: Add runtime guardrails to detect malicious inputs, prevent unsafe actions, and record agent activity, with Gary M Segal demonstrating the approach. 9:30–9:45 AM.
Merge: Give agents access to an integration catalog while keeping third-party credentials outside the sandbox, with Gil Feig explaining how the pieces connect. 9:45–10:00 AM.
BAND: Explore how separately sandboxed coding agents can exchange tasks, messages, and artifacts, with Vlad Luzin demonstrating collaboration through Jam. 12:15–12:30 PM.
Chainloop: Give reviewers evidence of what an agent actually did. Daniel Liszka will demonstrate signed session records and policy checks on a pull request. 1:15–1:30 PM.
Box: Turn enterprise documents into deliverables that people can review, with Carter Rabasa demonstrating governed document access, evidence checks, and isolated code execution. 2:30–2:45 PM.
SurrealDB: Build agents with memory you can inspect over time, with Chiru Boggavarapu showing how to trace what an agent knew and when. 2:45–3:00 PM.
Cognee: Give agents temporary access to company knowledge and remove it when the task is finished, with Vasilije Markovic demonstrating a practical architecture. 3:45–4:00 PM.
Sonar: Guide and verify agent-generated changes using Sonar Vortex and the SonarQube CLI, with Manish Kapur demonstrating the workflow inside a sandbox. 4:45–5:00 PM.
These sessions bring together the people building the tools and the teams putting them to work. It’s an opportunity to compare approaches, ask questions, and see how the ecosystem can help you tackle your next engineering challenge.
Come visit us at WeAreDevelopers. Meet our partners, customers, and speakers, catch a lightning talk, and see their technologies in action. Plan your visit to San Jose.
Quelle: https://blog.docker.com/feed/
