# kyegomez/swarms

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Repository: https://github.com/kyegomez/swarms
Canonical: https://ross.abutalabs.com/products/swarms
Homepage: https://docs.swarms.world
Language: Python
License: Apache-2.0
License Family: permissive
Topics: artificial-intelligence, langchain, machine-learning, swarms, agents, prompt-engineering, prompt-toolkit, prompting, tree-of-thoughts, ai, chatgpt, gpt4all, huggingface, langchain-python, agentic-workflow, multi-agent-systems, agentic-ai, claude-code
Last push: 2026-08-26T22:11:14+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 86
- inputs: {"age_days": 1211, "days_push": 7, "days_rel": 614, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7087, forks 1007 (observed 2026-08-28T04:09:55.820935+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, prompt-engineering, mcp, workflow-automation, sdk
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: python, cross-platform, cli
- tags: multi-agent-orchestration, agentic-workflow, llm-agents, swarm-intelligence, langchain-compatibility, autonomous-agents, ai-agents, automation

## Member repositories
- kyegomez/swarms (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.820935+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:40:10.970765+00:00, confidence not recorded.
  - readme: https://github.com/kyegomez/swarms (fetched 2026-08-28T04:09:55.820935+00:00, sha 7c5a42c0de50)
  - homepage: https://docs.swarms.world (fetched 2026-08-29T08:36:03.449373+00:00, sha ce0f29e01155)
  - site_page: https://docs.swarms.world/changelog/overview (fetched 2026-08-29T08:36:03.473631+00:00, sha 07c8c7b00474)
  - site_page: https://docs.swarms.world/changelog/swarms-v13 (fetched 2026-08-29T08:36:03.475490+00:00, sha 84d9a9c7b2d4)
  - site_page: https://docs.swarms.world/quickstart (fetched 2026-08-29T08:36:03.459319+00:00, sha 70a4ded68d94)
  - site_page: https://docs.swarms.world/installation (fetched 2026-08-29T08:36:03.461787+00:00, sha 1726ac1fb54c)
  - site_page: https://docs.swarms.world/integrations/model-providers (fetched 2026-08-29T08:36:03.463898+00:00, sha af3e4df286a2)
  - site_page: https://docs.swarms.world/integrations/mcp (fetched 2026-08-29T08:36:03.466218+00:00, sha 3caf4ca1f074)
  - site_page: https://docs.swarms.world/integrations/tools (fetched 2026-08-29T08:36:03.468551+00:00, sha 6c2f69d5a010)
  - site_page: https://docs.swarms.world/integrations/marketplace (fetched 2026-08-29T08:36:03.470777+00:00, sha dd2c13a30514)
- Data as of 2026-08-30T08:39:29.467469+00:00.