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cmoraes10/loci

Typed long-term memory for AI agents. One core, an MCP server, and a Hermes plugin.

Latest metrics (snapshot 2026-10-15)

stars28
forks1
issues0
pushed_at2026-10-01T02:14:38Z

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
2026-10-1528

ADC Momentum: 37/100

ADC Momentum 37 Leaderboard

Growth velocity45
Consistency36
Recency50
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

descriptionTyped long-term memory for AI agents. One core, an MCP server, and a Hermes plugin.
urlhttps://github.com/cmoraes10/loci
languagePython
licenseMIT
topicsagent-memory
ai-agents
hermes
llm
long-term-memory
mcp
mcp-server
memory
model
model-context-protocol
open-source
python
created_at2026-10-01T01:09:03Z
homepagehttps://pypi.org/project/mowave-loci/

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