Mmcp.market

Head to head

AI Model Retirement Lint vs Particles

Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.

AI Model Retirement Lintio.github.jmshinhwa/ai-model-retirement-lint
A
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Finds the LLM model IDs pinned in your code that vendors have already switched off, or have dated to

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Particlesorg.linkedparticles/particles
A
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An append-only ledger of sourced, dated, confidence-scored claims your agent cites and you audit

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The short version

Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. Both score close on the safety scan (89 and 86 out of 100). Particles has noticeably more public adoption.

 AI Model Retirement LintParticles
User ratingNo reviews yetNo reviews yet
Safety gradeA89/100A86/100
AdoptionNewGrowing
GitHub stars02
Downloads / week122
Runs whereYour machine (local)Your machine (local)
Gateway-readyNoNo
Tools6
Write actions2
Price per callFreeFree
LicenceNOASSERTIONApache-2.0
Last release2026-09-192026-09-13
CategoryAI and agentsAI and agents

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