rlm-processing

What problem does it solve?

Analyze large codebases efficiently by externalizing context and applying Recursive Language Model (RLM) patterns to operate beyond token limits.

Core Features & Use Cases

• External context management: load files into a REPL and chunk, filter, and process code without flooding the LLM context.
• Semantic sub-tasks: use llm_query() for focused analyses like pattern discovery, cross-file tracing, and dependency mapping.
• End-to-end workflow: supports multi-file analysis across modules, APIs, and configuration files for wide-scale auditing or refactoring.
• Use Case: When a project exceeds token limits or requires cross-file reasoning across multiple interconnected files.

Quick Start

Provide a high-level plan to analyze a large repository using RLM patterns.