agentflowkit is an open-source framework for constructing and managing multi-agent AI pipelines. It supports parallel DAG execution, tool calling, and cost tracking, enabling developers to efficiently build, orchestrate, and monitor complex AI workflows. Ideal for AI researchers and engineers working on agent-based systems.
In the Autonomous agents & workflows space, agentflowkit takes a focused approach. It focuses on building and orchestrating complex multi-agent AI workflows with parallel execution and tool integration. agentflowkit is an open-source project aimed at AI developers and researchers. The project is open source (MIT). agentflowkit is available on the command line and API, and it can be self-hosted.
KaramQ6 builds and maintains agentflowkit, and it first shipped in 2026. Development happens publicly on GitHub with 15 commits in the last 90 days. Among its 8 catalogued features are Parallel DAG execution, tool calling, and cost tracking.
Summary written by a language model from the project’s public pages.
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