Visibility winner
langchain-ai/langchain
144.2K stars
Use this as the long-horizon mindshare read, not as the final answer.
Freshness winner
langchain-ai/langchain
+537 in the weekly window
Last commit Aug 14, 2026
Adoption winner
langchain-ai/langchain
17.4M/week
pypi package signal
Data completeness
Comparison confidence
1/2 package links
1/2 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.
langchain-ai/langchain currently leads on long-horizon mindshare with the strongest star base in this comparison. langchain-ai/langchain has the strongest linked package footprint in this group.
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.
langchain-ai/langchain 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.
langchain-ai/langchain has the strongest current movement signal in this set.
Weekly movement is +537 in the weekly window.
langchain-ai/langchain has the strongest linked package footprint in this group.
pypi usage is a better production proxy than stars when it exists.
This comparison lives in the same frameworks lane, so package usage and repo detail should carry more weight than raw stars alone.
Shared category overlap makes the comparison more decision-useful than a random popularity matchup.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
The agent engineering platform.