LLM-Agents-Papers vs adk-python
LLM-Agents-Papers: This repository provides a comprehensive list of papers focused on Large Language Model (LLM) based agents. It covers various aspects, including enhancement techniques, interaction methods, diverse applications, and underlying infrastructure for LLM agents.; adk-python: ADK (Agent Development Kit) is an open-source, code-first Python framework designed for building, evaluating, and deploying sophisticated AI agents with high flexibility and control. It simplifies the creation and orchestration of agent workflows, supporting everything from simple tasks to complex multi-agent systems, while being model and deployment agnostic.
TL;DR
For academic researchers seeking comprehensive paper collections on LLM agents.
- You want Google's Apache-2.0, code-first toolkit with graph workflows, multi-agent hierarchies, a built-in dev UI, and evaluation tooling.
- Your team deploys on Google Cloud (Cloud Run or Vertex AI Agent Engine) or works across Python and ADK's other language editions.
- Your infrastructure is centred on Azure and .NET; Microsoft Agent Framework is tailored to that stack.
- You want a visual low-code workflow builder rather than writing Python code; n8n or Activepieces fit better.
Side-by-Side Comparison
LLM-Agents-Papersadk-pythonFeatures
LLM-Agents-Papersadk-pythonUse Cases
LLM-Agents-Papersadk-pythonBest For
LLM-Agents-Papersadk-pythonFAQ
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