by lerim-dev · Codex Skill · ★ 90
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The context layer for AI agents. Lerim sits above agent traces, compiles the useful signal into cited context, and gives the next agent the operating memory it needs before work begins. Website · Docs · Benchmarks · Examples · <a href="https://pypi.org/
| Stars | 90 |
| Forks | 6 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 29.75/100 |
| Last Updated | 2026-06-02 |
| Created | 2026-02-23 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~2044k |
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lerim is Compiles AI agent traces and truns them into reusable context.. It is categorized as a Codex Skill with 90 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/lerim-dev/lerim. The project has 90 stars and 6 forks, indicating an active community.
The top alternatives to lerim on Agent Skills Hub include project-butler, recall-loom, OpenContext. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.