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flink agents

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Multi-Agent Platforms & Frameworks
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Basic Information

Apache Flink Agents is an Agentic AI framework based on Apache Flink. The repository provides the project structure, build instructions and packaging guidance for both Java and Python components so developers can build and distribute the framework. The README lists prerequisites required to build the project, including a Unix-like environment, Git, Maven and Java 11 for the Java side and Python 3.9–3.12 for the Python side. It explains how to clone the repository and how to produce build artifacts using Maven for Java and either the recommended uv workflow or traditional pip-based workflows for Python. The documentation also points to a migration guide for dependency management and to contribution guidelines and community channels for development and collaboration.

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App URL
https://github.com/apache/flink-agents
Github Repository
https://github.com/apache/flink-agents/blob/main/README.md

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App Details

Features
Multi-language components with both Java and Python parts and explicit build recipes. Java build support using Maven with a typical mvn clean install workflow. Python packaging with two supported workflows: a recommended uv-based sync and build approach and a traditional pip editable install plus build option. Produces sdist and wheel artifacts placed under python/dist for installation. Specifies supported Python versions and Java 11 as a requirement. Encourages modern dependency management via pyproject.toml dependency groups and deprecates older requirements files. Includes contribution guidelines, a migration guide for Python, and community coordination information such as a dedicated Slack channel and a weekly community sync.
Use Cases
The repository helps developers set up, build and package an agentic AI framework that is integrated with Apache Flink by providing clear prerequisites and step-by-step build commands for both Java and Python. It reduces onboarding friction by documenting supported environments and versions, showing where build artifacts are produced and how to install them. The recommended uv workflow and fallback pip instructions give flexible options for different developer preferences. Project guidance on dependency management and a migration guide aid maintainability. Community information including contribution guidelines, a Slack channel and a weekly sync makes it easier for contributors to get support, participate in design discussions and stay aligned with project development.

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