{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Provides a high-level API for building multi-agent applications with preset agent behaviors and predefined multi-agent design patterns, built on autogen-core.","skillfed_tags":["multi-agent-systems","llm-orchestration","agent-framework"],"use_cases":["Build a customer support system where specialized agents handle different ticket categories and escalate to a supervisor agent.","Create a research assistant that coordinates multiple agents\u2014one for web search, one for document analysis, one for synthesis.","Implement a code review workflow where agents check style, security, and functionality in parallel before merging.","Design a data analysis pipeline where agents fetch data, clean it, and generate reports in sequence.","Prototype a multi-turn conversation system where agents take turns responding and refining answers."],"what_it_does":"AutoGen AgentChat is a high-level abstraction layer for building applications where multiple AI agents collaborate to solve tasks. It sits on top of autogen-core and is designed as the recommended entry point for developers new to multi-agent systems, offering intuitive defaults like preset agent behaviors and predefined team patterns rather than requiring manual orchestration. The package bundles agents with common configurations and teams with established multi-agent design patterns, reducing boilerplate and decision fatigue.\n\nFor typical use, you instantiate agents with preset behaviors, compose them into teams following established patterns, and let the framework handle inter-agent communication and coordination. The underlying autogen-core dependency provides the event-driven engine; AgentChat wraps it in a simpler, more opinionated interface. Advanced users can drop down to autogen-core for finer control, but most workflows stay within AgentChat's higher-level abstractions.","worth_installing":"Yes, if you are building multi-agent applications and want a structured, batteries-included starting point. The low install friction, permissive MIT license, and position within an active ecosystem make it a reasonable choice for prototyping and production use. The aging maintenance status (318 days since last release) is not alarming for a stable library, but verify that autogen-core updates remain compatible before adopting in a fast-moving project."},"id":"autogen-agentchat","links":{"html":"https://skillfed.io/packages/autogen-agentchat","md":"https://skillfed.io/packages/autogen-agentchat.md","pypi":"https://pypi.org/project/autogen-agentchat/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-09-30","license_spdx":null,"license_treatment":"permissive","name":"autogen-agentchat","python_support":"supports_current","summary":"AutoGen agents and teams library"},"popularity":{"monthly_downloads":1056308,"position":4431,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.7.5"}