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Agentic AI

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Multi-Agent Platforms & Frameworks
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Basic Information

Agentic-AI is a focused repository about agentic artificial intelligence that aims to explore and demonstrate approaches for building autonomous AI agents. The project centers on using multiple modern agent frameworks and SDKs to construct, compare, and experiment with agent workflows. The README and repo description list OpenAI Agents SDK, Langgraph, CrewAI, and Hugging Face Smolagents as primary technologies of interest, indicating a multi-tool orientation. The repository is presented as an early-stage collection with an initial commit dated Feb 20, 2025, and is intended as a focal point for learning, experimentation, and reference about composing agentic systems across different platforms. The content is aimed at developers and researchers who want an organized starting place for agentic AI work using those specific frameworks.

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App URL
https://github.com/Zeeshier/Agentic-AI
Github Repository
https://github.com/Zeeshier/Agentic-AI/blob/main/README.md

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App Details

Features
The repository emphasizes cross-framework agent development and investigation. It highlights integration and interoperability with named tools such as OpenAI Agents SDK, Langgraph, CrewAI, and Hugging Face Smolagents, signaling multi-platform support and comparative perspective. The project appears to collect patterns and guidance for agent construction, orchestration, and experimentation across these SDKs. As an early public repo it likely functions as a curated starting kit or reference for combining libraries and runtime patterns, and it documents intent to explore different agent design choices. The visible metadata shows an initial commit and public hosting, which suggests ongoing development and contributions are expected.
Use Cases
Agentic-AI helps practitioners by consolidating a set of agentic AI frameworks and framing their use together, making it easier to survey current tools and approaches. By naming several prominent agent SDKs, the repo signals a comparative and integrative resource for developers deciding which frameworks to adopt or combine. As an early-stage, publicly visible project it can serve as a seed for experiments, community contributions, and iterative documentation of best practices for agent design. The repository is useful for anyone looking to learn about agentic architectures, evaluate multiple SDKs in one place, or start prototyping cross-framework agent solutions with an explicit focus on the listed technologies.

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