Reactive agents are the future: they can adapt to other agents and the environment, making them more flexible, autonomous, and generally more intelligent.
An agent does not need to own the whole workflow. It can simply listen for context items.
When it sees a UserMessageItem, it can run inference.
When it sees a FunctionCallItem, it can execute a tool.
<img src="https://media.daily.dev/image/upload/s--AdHjka56--/f_auto/v1778414454/ugc/content_09538cd3-49a8-4392-b76a-356f2c9c2ada?_a=BAMAMiWQ0" alt="onContextItem.png">
AI agent orchestration getting simpler with event-driven architecture. You don’t need to force every agent into rigid workflows.
Humans, agents, observers, and tools can join the same environment. Each one can emit, observe, and react to typed context items in real time.
<img src="https://media.daily.dev/image/upload/s--_xMujFXI--/f_auto/v1778414614/ugc/content_6d5eca97-9470-44dd-b643-e3e4695b17ed?_a=BAMAMiWQ0" alt="agentic-environment-1.jpeg">
I built a TypeScript framework for building reactive agents - check it out and drop a star to support project.
<a href="https://github.com/jigjoy-ai/mozaik" target="_blank" rel="noopener nofollow">https://github.com/jigjoy-ai/mozaik</a>

We’re building infra for concurrent AI agents.

JigJoy

Reactive agents that listen and respond to typed context items (UserMessageItem, FunctionCallItem, etc.) in a shared environment offer a more flexible alternative to rigid workflow-based agent orchestration. Humans, agents, observers, and tools can all participate in the same event-driven environment. A TypeScript framework called Mozaik has been built to implement this pattern.

Reactive Agents Are the Future of AI Systems