Agentic Engineering & ToolingConference50min
Create your own AI Agents without code
Docker Agent is an open-source, no-code platform for creating specialized AI agents quickly and affordably. It supports testing, benchmarking, optimization, and collaborative multi-agent workflows, while working with any LLM provider.
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David GageotDocker
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Wednesday, October 7, 17:50-18:40
TBA 5
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More and more of us use Coding Assistants that excel at **writing code**.
They are good and they are expensive!
The same underlying models can be used to write
more specialized, cheaper, more predictable AI agents.
+ Maybe you need an agent specialized for your business.
+ Or you need a cheap, disposable one for a quick and dirty task.
+ Later, you want multiple agents to collaborate.
All of that can be done with no code, leveraging Docker Agent,
an open-source project and a real Swiss Army knife for AI agent creation:
+ Create intelligent agents that solve real problems in minutes, without code.
+ Test, benchmark, and optimize agent behavior systematically through evals.
+ Build collaborative multi-agent architectures with MCP, ACP and A2A.
+ Work with any LLM provider on your own terms: frontier, local, small, large.
They are good and they are expensive!
The same underlying models can be used to write
more specialized, cheaper, more predictable AI agents.
+ Maybe you need an agent specialized for your business.
+ Or you need a cheap, disposable one for a quick and dirty task.
+ Later, you want multiple agents to collaborate.
All of that can be done with no code, leveraging Docker Agent,
an open-source project and a real Swiss Army knife for AI agent creation:
+ Create intelligent agents that solve real problems in minutes, without code.
+ Test, benchmark, and optimize agent behavior systematically through evals.
+ Build collaborative multi-agent architectures with MCP, ACP and A2A.
+ Work with any LLM provider on your own terms: frontier, local, small, large.