kyegomez/swarms

Health v2 · maintenance only

Adoption not part of the score

7087 stars · 1007 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Swarms is an enterprise-grade Python framework for orchestrating multi-agent systems powered by large language models, offering prebuilt sequential, concurrent, hierarchical, and graph-based agent architectures. It supports multiple LLM providers, tool integration, MCP protocol support, and interoperability with frameworks like LangChain, AutoGen, and CrewAI.

Use cases

• orchestrate multiple AI agents to complete complex tasks
• build hierarchical agent workflows for business process automation
• run agents in parallel or sequential pipelines
• connect LLM agents to external tools via MCP servers
• create autonomous agents with memory and tool use
• coordinate a team of AI agents that decide when to speak in group chat
• build production-scale agentic applications with multiple LLM providers

When to choose

• you need to coordinate multiple LLM agents in structured workflows
• you want provider-agnostic agent orchestration across OpenAI, Anthropic, Groq, and others
• you need production-ready multi-agent patterns like hierarchical swarms or graph workflows
• you want MCP tool discovery and multi-framework interoperability

When to avoid

• you only need a single simple LLM call without agent orchestration
• you need a lightweight minimal agent loop with few dependencies
• you require a framework with long-term enterprise support contracts or formal SLAs

Facets

framework · maturity active

agent-framework llm-inference prompt-engineering mcp workflow-automation sdk artificial-intelligence large-language-models developer-tools python cross-platform cli multi-agent-orchestration agentic-workflow llm-agents swarm-intelligence langchain-compatibility autonomous-agents ai-agents automation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kyegomez/swarms")