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EverMind-AI/EverOS

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Latest metrics (snapshot 2026-10-14)

stars13421
forks935
issues58
pushed_at2026-10-14T13:41:58Z

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
2026-10-1413421

ADC Momentum: 64/100

ADC Momentum 64 Leaderboard

Growth velocity72
Consistency57
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

descriptionOne portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
urlhttps://github.com/EverMind-AI/EverOS
languagePython
licenseApache-2.0
topicsagent-memory
agentic-ai
ai
chats
clawdbot
clawdbot-skill
deepseek-harness
dsh
dsh-plugin
llm
long-term-memory
mcp
created_at2025-10-28T15:09:32Z
homepagehttps://evermind.ai/everos

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