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Source channel @githubtrending · Post #15416 · Jan 15

#typescript Eigent is an open-source desktop application that lets you build and deploy a custom AI workforce to automate complex tasks. It uses multiple specialized agents working in parallel—like a Developer Agent for coding, a Search Agent for web research, and a Document Agent for file management—to handle sophisticated workflows efficiently. You can run it locally on your own computer for complete privacy and control, or use the cloud version for quick setup. The main benefit is boosting productivity by automating multi-step processes like report generation, market research, and data analysis without requiring technical configuration, while keeping your data completely private. https://github.com/eigent-ai/eigent

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djangoproject

@djangoproject · Post #519 · 12/10/2017, 06:14 PM

https://blog.wallaroolabs.com/2017/12/stateful-multi-stream-processing-in-python-with-wallaroo/ #Wallaroo is a high-performance, open-source framework for building distributed stateful applications. In an earlier post, we looked at how Wallaroo scales #distributed_state. In this post, we’re going to see how you can use Wallaroo to implement multiple data processing #tasks performed over the same shared #state. We’ll be implementing an application we’ll call “Market Spread” that keeps track of the latest pricing information by stock while simultaneously using that state to determine whether stock order #requests should be rejected. #pipeline