RLM

소개

RLM provides a specialized server that empowers Claude Code to process and analyze files far exceeding its native context window limitations. By implementing MIT's Recursive Language Models, it treats large files as an 'external environment,' executing Python code on them via a REPL and returning only the relevant results to Claude. This approach dramatically reduces token usage while maintaining accuracy, allowing Claude Code to perform complex analyses, aggregations, and multi-pattern searches on massive datasets up to 10GB+, transforming Claude from a brain into a powerful analytical engine that can interact with an external computational environment.

주요 기능

• Analyze multi-gigabyte files (10GB+) without context window limits
• Secure execution with process isolation and timeout limits
• Access a suite of RLM tools for file loading, code execution, and session management
• Reduce token usage by up to 78% for large file analysis
• 0 GitHub stars
• Execute full Python scripts for advanced data processing and analytics

사용 사례

• Correlate multiple patterns and aggregate data across massive datasets
• Analyze and query extremely large files (>200KB) that exceed Claude's context window
• Perform complex analysis and statistics on large log files or codebases