{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Builds multi-agent swarm systems where specialized agents hand off control to each other dynamically, with built-in support for memory and streaming via LangGraph.","skillfed_tags":["multi-agent","langgraph","agent-orchestration"],"use_cases":["Build a customer-support swarm where a routing agent directs queries to billing, technical, or sales specialists, each with domain-specific tools.","Create a research assistant that hands off between a web-search agent, a data-analysis agent, and a report-writing agent based on task needs.","Implement a coding assistant where a planner agent routes to a code-generation agent, a testing agent, and a documentation agent in sequence.","Design a multi-domain chatbot where agents for math, writing, coding, and general knowledge collaborate and hand off mid-conversation.","Orchestrate a workflow where agents with different LLM models or tool sets work together, each handling its specialization before passing to the next."],"what_it_does":"LangGraph Swarm is a Python library that layers multi-agent coordination on top of LangGraph, enabling specialized agents to collaborate by handing off control to one another based on their expertise. Instead of a single monolithic agent, you define multiple agents with distinct roles and tools, then let them route requests dynamically\u2014the system remembers which agent was active last, so multi-turn conversations resume with the right agent in context.\n\nThe library provides factory functions to create agents and handoff tools, handles message passing and state management through LangGraph's graph compilation, and integrates with LangGraph's built-in memory (short-term via checkpointers, long-term via stores) and streaming. You customize it by either modifying handoff tool behavior (what data passes between agents, what arguments the LLM fills in) or by changing the agent state schema to isolate agent histories.","worth_installing":"Yes, if you are already committed to LangGraph and need multi-agent handoff orchestration. The library is straightforward and low-friction to install, with no security vulnerabilities. However, the aging maintenance status (253 days since last release) means you should verify compatibility with your LangGraph version and be prepared for slower bug fixes. Not a fit if you need active development or prefer a more mature multi-agent framework."},"id":"langgraph-swarm","links":{"html":"https://skillfed.io/packages/langgraph-swarm","md":"https://skillfed.io/packages/langgraph-swarm.md","pypi":"https://pypi.org/project/langgraph-swarm/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-12-04","license_spdx":"MIT","license_treatment":"permissive","name":"langgraph-swarm","python_support":"supports_current","summary":"An implementation of a multi-agent swarm using LangGraph"},"popularity":{"monthly_downloads":153770,"position":10868,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.0"}