I’ve been following Mitko Vasilev on LinkedIn and his work on RLMGW (RLM Gateway) So the idea of using MIT’s RLM paper to keep large data out of the context window really clicked for me. So I turned it into a skill/plugin for both Claude Code and OpenCode. Instead of reading large files into context, Claude writes a Python script to process them. Only the summary enters context. Anyone working with large log files, CSVs, repos, or data that burns through context would benefit from it. 500KB log file: 128K tokens → ~100 tokens (99% saved); depends on info needed. Auto-detects large files before you read them /rlm:stats shows your token savings This plugin is based on RLMGW Project and context-mode by Mert Koseoglu which is much more feature-rich with a full sandbox engine, FTS5 search, and smart truncation. Definitely try it if you’re on Claude Code. I built RLM Skill as a lighter version that also works on OpenCode. https://github.com/lets7512/rlm-skill submitted by /u/lets7512
Originally posted by u/lets7512 on r/ClaudeCode