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gonzaroman/IHMT-MEMORY

Long-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files

Latest metrics (snapshot 2026-10-15)

stars36
forks1
issues0
pushed_at2026-10-12T23:18:44Z

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
2026-10-1536

ADC Momentum: 50/100

ADC Momentum 50 Leaderboard

Growth velocity52
Consistency42
Recency89
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

descriptionLong-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files
urlhttps://github.com/gonzaroman/IHMT-MEMORY
languagePython
licenseMIT
topicsagent-memory
ai-agent
ai-agent-memory
awesome
awesome-agent-memory
awesome-list
llm-memory
long-term-memory
memory
memory-management
multimodal-llm-memory
rag
created_at2026-09-30T16:14:20Z
homepagehttps://github.com/gonzaroman/IHMT-MEMORY

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