LangChain is an open-source framework for building language model applications with prompt chaining, memory, and external integrations
Guardrails is an open-source Python framework for adding programmable input/output validators to LLM applications, ensuring safe, structured, and compliant model interactions
CrewAI is an open-source Python framework for orchestrating role-playing, autonomous AI agents into collaborative "crews" and "flows," combining high-level simplicity with fine-grained control.
Google ADK is a Python SDK for building AI applications with Google's Gemini models and agent framework capabilities
BeeAI is an open-source platform that enables developers to discover, run, and compose AI agents from any framework, facilitating the creation of interoperable multi-agent systems
Agno is an open-source Python framework for building lightweight, model-agnostic AI agents with built-in memory, knowledge, tools, and reasoning capabilities
Connect Phoenix with your favorite AI frameworks, LLM providers, and tools
AI agents are quickly moving from prototypes to production — and openness is key to making them scalable, interoperable, and community-driven. In this sessio...
Build multi?agent systems the right way with Microsoft Foundry. Go from single?agent prototypes to fleet?level orchestration using the Foundry Agent Framework (Semantic Kernel + AutoGen), shared state, Human in the loop, OpenTel, MCP toolchains, A2A, and the A…
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Learn how to develop AI agents on Azure using the Microsoft Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026
LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves
We summarize the potential impact that the European Union's new General Data Protection Regulation will have on the routine use of machine learning algorithms. Slated to take effect as law across the EU in 2018, it will restrict automated individual decision-m…
This paper develops a critical theory of artificial intelligence, within a historical constellation where computational systems increasingly generate cultural content that destabilises traditional distinctions between human and machine production. Through this…
Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks.
We propose a framework for robust evaluation of reasoning capabilities of language models, using functional variants of benchmarks. Models that solve a reasoning test should exhibit no difference in performance over the static version of a problem compared to…