Visibility winner
deepseek-ai/deepseek-harness
221.2K stars
Use this as the long-horizon mindshare read, not as the final answer.
Freshness winner
deepseek-ai/deepseek-harness
+8.6K in the weekly window
Last commit Sep 11, 2026
Adoption winner
anywhere-labs/dsh-desktop
Package mapping still partial
GitStar keeps the comparison directional when linked package telemetry is missing.
Data completeness
Comparison confidence
0/3 package links
3/3 repos have weekly momentum in the current snapshot.
Compare up to four repositories with comma-separated owner/repo names. GitStar keeps missing package or momentum data explicit instead of flattening it into a false zero.
deepseek-ai/deepseek-harness currently leads on long-horizon mindshare with the strongest star base in this comparison. Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
GitStar keeps cross-repository gaps visible. Missing package mappings or partial momentum data lower confidence, but they do not stop the page from showing a directional read.
deepseek-ai/deepseek-harness currently leads on long-horizon mindshare with the strongest star base in this comparison.
Stars are strongest at showing durable visibility, not direct production fit.
deepseek-ai/deepseek-harness has the strongest current movement signal in this set.
Weekly movement is +8.6K in the weekly window.
Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
Treat this as a directional evaluation and verify ecosystem usage directly from package registries.
All compared repos live in the TypeScript ecosystem, but they do not cleanly share the same category footprint.
Treat this as a directional stack comparison and verify the actual problem each repo solves.
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」，桌面本身也是「插件」。
DeepSeek Harness: Everything is a Plugin.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.