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MemCell

Shared, persistent memory for AI agents: recall before acting, report outcomes to earn confidence.

Latest metrics (snapshot 2026-10-29)

version1.7.1
updatedAt2026-10-28T15:54:04.643988Z

History

Dateversion
2026-10-291.7.1

ADC Momentum: 39/100

ADC Momentum 39 Leaderboard

Growth velocity43
Consistency0
Recency100
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

idai.memcell/memcell
descriptionShared, persistent memory for AI agents: recall before acting, report outcomes to earn confidence.
urlhttps://memcell.ai
repositoryhttps://github.com/memcell-ai/mcp
remotesstreamable-http https://memcell.ai/mcp
packagesnpm memcell
publishedAt2026-10-28T15:54:04.643988Z

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