The project does a thorough job explaining the motivation behind RLM and walking through the setup, configuration, and architecture, but it would be significantly more compelling if it also included concrete evidence of the approach actually working. Benchmark data comparing RLM-activated runs against standard Claude Code on complex, large-context tasks (for example, cross-file reasoning or deep debugging scenarios) would give potential users a much clearer picture of the real-world accuracy and cost tradeoffs before committing to the setup.
What do you think?
The project does a thorough job explaining the motivation behind RLM and walking through the setup, configuration, and architecture, but it would be significantly more compelling if it also included concrete evidence of the approach actually working. Benchmark data comparing RLM-activated runs against standard Claude Code on complex, large-context tasks (for example, cross-file reasoning or deep debugging scenarios) would give potential users a much clearer picture of the real-world accuracy and cost tradeoffs before committing to the setup.
What do you think?