AdalFlow is an open-source framework for building, tracing, and optimizing LLM agent workflows. It supports integrations with OpenAI, Anthropic, and local models, and provides tools for streaming, tracing, human-in-the-loop, and RAG optimization. Designed for AI developers and researchers building advanced agent systems.
AdalFlow sits in PulseGate's Frameworks & SDKs category. It focuses on simplifying the development and tracing of complex LLM agent workflows with support for multiple AI providers. It is built as an open-source project for AI developers and researchers. The project is open source (MIT). AdalFlow is available on the command line and API.
Behind AdalFlow is Sylph AI, and it first shipped in 2024. The project is developed in the open on GitHub with 4.2k stars and 10 commits in the last 90 days. Among its 7 catalogued features are agent runner, streaming, and tracing.
Summary written by a language model from the project’s public pages.
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