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memory-estimation vs memcode

memory-estimation and memcode are both knowledge and memory skills. memcode scores higher (84 vs 70 out of 100). memcode has more GitHub stars (6.4k), and memcode was updated more recently (3 days ago). The table compares them side by side.

memory-estimationmemcode
Score70 / 10084 / 100
What it doesUse when the user wants to estimate GPU memory (VRAM) requirements for a training configuration, check if a model will fit on their GPUs, or plan GPU allocation for training.Use the enabled Memcode MCP connection to explicitly save approved facts and recall relevant memories across DeepChat conversations. Never save a transcript or retrieve memory automatically.
PublisherCommunity: Red-Hat-AI-Innovation-TeamCommunity: ThinkInAIXYZ
GradesMaintenance A, Licence A, Quality BMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars1026,371
Last commit12 Oct 202620 Oct 2026
LicenceApache-2.0Apache-2.0
Listed since20 Oct 202620 Oct 2026
Install memory-estimationInstall memcode

Questions

Is memory-estimation or memcode more popular?

memcode has more GitHub stars: 6,371.

Can I use memory-estimation and memcode together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.