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Provides a persistent sandbox for AI coding agents to explore codebases efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rlm-tools" yet — see the docs or source repo.
Scan this repository in the persistent sandbox and return a compact summary of its structure, core modules, entry points, main dependencies, and key data flows.
A concise codebase overview covering module responsibilities, architecture relationships, and important files.
Search the sandbox for code related to user login and authorization checks, then summarize the involved files, call chains, and configuration points.
A summary of where login and authorization logic lives, including key call paths and configurations.
Analyze which services, tests, and documents may be affected if the payment module API parameters change, and return only a compact impact summary.
An impact analysis listing affected modules, potential risks, and recommended checkpoints.
Enable recursive LLM reasoning and code execution for large-context exploration.
Gives AI coding agents persistent memory and semantic file discovery across sessions.
Analyze large codebases hierarchically and build a queryable knowledge map.
Process arbitrarily long contexts with recursive decomposition, without external LLM APIs.
Search and read indexed local documents with full-text and fuzzy matching.
Help AI agents navigate, search, and understand codebases and change history.