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kyegomez/swarms

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

Latest metrics (snapshot 2026-10-14)

stars7256
forks1042
issues315
pushed_at2026-10-14T15:02:39Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-147256

ADC Momentum: 35/100

ADC Momentum 35 Leaderboard

Growth velocity25
Consistency20
Recency99
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionThe Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
urlhttps://github.com/kyegomez/swarms
languagePython
licenseApache-2.0
topicsagentic-ai
agentic-workflow
agents
ai
artificial-intelligence
chatgpt
claude-code
gpt4all
huggingface
langchain
langchain-python
machine-learning
created_at2023-05-11T01:09:00Z
homepagehttps://docs.swarms.world

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