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agentlas-ai/Agentlas-OS

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Latest metrics (snapshot 2026-10-14)

stars1580
forks109
issues1
pushed_at2026-10-13T13:41:53Z

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
2026-10-141580

ADC Momentum: 47/100

ADC Momentum 47 Leaderboard

Growth velocity46
Consistency37
Recency94
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

descriptionAgent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
urlhttps://github.com/agentlas-ai/Agentlas-OS
languagePython
licenseApache-2.0
topicsa2a
agent
agent-framework
agent-os-desktop
agent-skills
agentic-ai
agentic-workflow
agentos
agents
agents-team
agentshub
ai-agents
created_at2026-06-04T04:33:26Z
homepagehttps://agentlas.cloud

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