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            "tagline": "MIT-licensed framework for document-based and agentic AI apps",
            "summary": "LlamaIndex is an MIT-licensed open-source framework for building document-based and agentic AI applications. Its company also sells LlamaParse, a document parsing service that can be used with the framework or alone.",
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            "overview": "LlamaIndex is an open-source framework for connecting language models to documents and data, and for building agentic applications around them. Its repository describes the project as a document processing platform for AI and releases it under the MIT license.\n\nThe framework is free to use. LlamaParse, the company's document parsing product, is offered separately and can be used on its own as well as with the framework. Compared with LangChain, LlamaIndex centers more on documents and retrieval, although both support agents. Teams with heavy document ingestion may find its parsing tools a natural fit."
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            "overview": "The OpenAI Agents SDK is a lightweight framework from OpenAI for building multi-agent workflows in Python. Its repository describes it as a lightweight framework for multi-agent workflows and is released under the MIT license. The documentation site covers installation and usage.\n\nThe SDK is a free open-source library, and the repository does not list a hosted service to pay for. Its acknowledgments credit projects such as Pydantic, Requests and the MCP Python SDK among its dependencies. It suits developers who already build on OpenAI's models. It has a narrower scope than full agent platforms such as LangChain."
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    "page": "https://listme.name/compare/llamaindex-vs-openai-agents-sdk",
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