by nablo-io · Codex Skill · ★ 97
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Lerim compiles completed agent traces into cited, reusable context. Lerim sits above agent traces, compiles useful signal into cited context and eval assets, and gives future agents the operating memory they need before work begins. Lerim is an open-source project by Nablo. It compiles context and does not train models — training a small model on the result is the Nablo pipeline. <
| Stars | 97 |
| Forks | 6 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 59.0946506184569/100 |
| Last Updated | 2026-07-28 |
| Created | 2026-02-23 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
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lerim is Compiles AI agent traces and truns them into reusable context.. It is categorized as a Codex Skill with 97 GitHub stars.
lerim is primarily written in Python. It covers topics such as agent-memory, ai-coding, ai-coding-agent.
You can find installation instructions and usage details in the lerim GitHub repository at github.com/nablo-io/lerim. The project has 97 stars and 6 forks, indicating an active community.
The top alternatives to lerim on Agent Skills Hub include lerim, lerim-cli, project-butler. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.