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Giljo HQ

Context engineering for AI coding agents: product context, project missions, and 360 memory.

Latest metrics (snapshot 2026-10-14)

version2.7.0
updatedAt2026-10-13T20:08:48.108668Z

History

Dateversion
2026-10-142.7.0

ADC Momentum: 43/100

ADC Momentum 43 Leaderboard

Growth velocity50
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.giljo/hq
descriptionContext engineering for AI coding agents: product context, project missions, and 360 memory.
urlhttps://giljo.ai
repositoryhttps://github.com/giljoai/giljo-hq
remotesstreamable-http https://app.giljo.ai/mcp
publishedAt2026-10-13T20:08:48.108668Z

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