by sjdv1982 · Agent Tool · ★ 23
Seamless Seamless: define your computation once — cache it, scale it, share it. Most computational pipelines are already reproducible — the same inputs produce the same outputs. Wrap your code as a step with declared inputs and outputs, and Seamless gives you caching (never recompute what you've already computed) and remote deployment (run on a cluster without changing your code). Remote execution also acts as a reproducibility test: if your wrapped code runs on a clean worker and produces the same result, it is reproducible.
| Stars | 23 |
| Forks | 7 |
| Language | Shell |
| Category | Agent Tool |
| Quality Score | 65.401346261662/100 |
| Open Issues | 92 |
| Last Updated | 2026-06-12 |
| Created | 2016-06-13 |
| Platforms | cli |
| Est. Tokens | ~10k |
These tools work well together with seamless for enhanced workflows:
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seamless is Wrap Python functions and shell commands as content-addressed transformations. Cache results, run them locally or on a cluster, and share them by checksum.. It is categorized as a Agent Tool with 23 GitHub stars.
seamless is primarily written in Shell. It covers topics such as agent-skill, caching, content-addressed.
You can find installation instructions and usage details in the seamless GitHub repository at github.com/sjdv1982/seamless. The project has 23 stars and 7 forks, indicating an active community.