CTX
★ 133
vs
daml
★ 899
CTX vs daml
CTX: CTX is a local context runtime for OpenCode and AI coding agents. It reduces token waste by indexing repositories, storing reusable guidance as graph memory, and providing compact task packs, read-cache compression, command pruning, and a live right-sidebar dashboard. It integrates natively with OpenCode as a context layer without replacing the agent launcher.; daml: Cannot extract a summary from the provided README content as it only references another file.
01
TL;DR
Choose CTX if…Reducing token costs in OpenCode and AI coding workflows
Choose daml if…focusing on Trending
02
Side-by-Side Comparison
03
Features
CTX01Graph memory for reusable project rules and lessons
02Read-cache compression with digest, outline, and full modes
03Compact task packs that minimize token usage
04Command pruning and log compression
05Live right-sidebar dashboard with token savings metrics
daml—
04
Use Cases
CTX↳Reducing token costs in OpenCode and AI coding workflows
↳Efficient project rule retrieval without reloading full markdown files
↳Compressing context for large repositories and repeated file reads
daml—
05
Best For
CTXTrendingAPI Integration
damlTrendingEssential
FAQ
FAQ
What is the difference between CTX and daml?
Both CTX and daml are in the Dev Tooling category. CTX has 133 stars, while daml has 899 stars.
Which is better, CTX or daml?
The best choice depends on your use case. Choose CTX if Reducing token costs in OpenCode and AI coding workflows, and daml if focusing on Trending.
Is CTX free or open source?
Yes, CTX is open source on GitHub.
Is daml free or open source?
Yes, daml is open source on GitHub.
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