wbcli is a command-line tool for orchestrating multi-agent AI workflows, enabling iterative development and coordination of autonomous agents. It is open source under the MIT license and designed for developers building complex agent-based systems.
In the Frameworks & runtimes space, wbcli takes a focused approach. It focuses on coordinating and managing multiple AI agents in iterative development workflows from the command line. wbcli is an open-source project aimed at AI developers. The project is open source (MIT). It ships for the command line, and it can be self-hosted.
Behind wbcli is Duncan K. McKinnon, and it first shipped in 2026. Development happens publicly on GitHub with 262 commits in the last 90 days. Among its 5 catalogued features are agent orchestration, iterative development, and multi-agent support.
Summary written by a language model from the project’s public pages.
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