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parallel-strategy-analyzer vs memcode

parallel-strategy-analyzer and memcode are both knowledge and memory skills. memcode scores higher (84 vs 68 out of 100). memcode has more GitHub stars (6.4k), and memcode was updated more recently (today). The table compares them side by side.

parallel-strategy-analyzermemcode
Score68 / 10084 / 100
What it doesRecommend DP/FSDP/TP/PP/EP/CP strategy mixes from model + hardware constraints, with memory/comm/compute/bubble estimates. Use for strategy planning, scale-out, OOM, or comparing configs. Not for implementing platform/op code (platform-dev / dist-op-dev) or running training jobs.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: mindspore-aiCommunity: 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 stars806,371
Last commit20 Oct 202620 Oct 2026
LicenceApache-2.0Apache-2.0
Listed since20 Oct 202620 Oct 2026
Install parallel-strategy-analyzerInstall memcode

Questions

Is parallel-strategy-analyzer or memcode more popular?

memcode has more GitHub stars: 6,371.

Can I use parallel-strategy-analyzer and memcode together?

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