openserv-multi-agent-workflows

You orchestrate multi-agent AI workflows by defining triggers, tasks, and edges in a single declarative workflow. This approach enables the composition of end-to-end automation pipelines across diverse agent capabilities.

Declarative workflow composition works by specifying triggers, tasks, and edges to connect agents. It allows you to build end-to-end pipelines, such as research to writing or content creation, without manual procedural scripting.

Yes, you can integrate marketplace agents into your pipelines via the Platform Client. This enables seamless agent discovery and edge design to connect diverse agent capabilities within your declarative workflows.

The best way to start is by loading an example pipeline from the examples directory, such as a blog or life coaching pipeline. Activating its webhook trigger demonstrates the full multi-agent workflow in action.

Yes, the OpenServ platform supports webhook triggers for workflow automation. You can activate a webhook trigger on an example workflow to observe a complete end-to-end multi-agent pipeline running in action.

Examples of multi-agent workflow pipelines include a blog pipeline, content creation, and life coaching workflows. These examples demonstrate how to chain research and writing tasks across multiple agents.