agent frameworks

DevOps

Apr 22, 2025 · Artificial Intelligence

How to Think About Agent Frameworks: A Critical Review of Design Patterns, Challenges, and LangGraph

This article critically examines popular agent frameworks, compares OpenAI and Anthropic definitions, highlights the core difficulty of maintaining proper context for reliable agents, and presents LangGraph’s declarative and imperative features along with practical guidance for building production‑grade agent systems.

AI EngineeringLangGraphLarge Language Models

0 likes · 24 min read

How to Think About Agent Frameworks: A Critical Review of Design Patterns, Challenges, and LangGraph

DataFunSummit

Jan 23, 2025 · Artificial Intelligence

Improving Observability in Multi‑Agent Systems: Analysis and Extension of OpenAI Swarm

This article examines the research‑oriented topic of observability in multi‑agent systems, reviews existing open‑source MAS frameworks such as Swarm, MetaGPT, AutoGen, and AutoGPT, identifies their observability challenges, and proposes extensions and visualization techniques to enhance debugging, testing, and control of OpenAI Swarm‑based applications.

AIObservabilityOpenAI Swarm

0 likes · 26 min read

Improving Observability in Multi‑Agent Systems: Analysis and Extension of OpenAI Swarm

Tencent Cloud Developer

Jun 5, 2024 · Artificial Intelligence

Introduction to AI Development and Practical Applications

The article surveys AI development from early GPT experiments to real‑world deployments, explaining how tools like LangChain and Retrieval‑Augmented Generation enable sophisticated agents, multi‑prompt workflows, and function calls for chatbots, education, and creative content while addressing accuracy, resource, and ethical challenges.

AI DemosAI DevelopmentBig Models

0 likes · 34 min read

Introduction to AI Development and Practical Applications

DaTaobao Tech

Apr 10, 2024 · Artificial Intelligence

Survey of Popular AI Agent Frameworks and Their Architectures

The article surveys modern open‑source AI agent frameworks, defining agents as autonomous perception‑planning‑action systems, outlining core modules (inference, memory, tools, action), comparing single‑agent designs like BabyAGI and AutoGPT with multi‑agent platforms such as MetaGPT and AutoGen, and discussing their benefits, trade‑offs, and future research directions.

AI agentsLLMagent frameworks

0 likes · 28 min read

Survey of Popular AI Agent Frameworks and Their Architectures