XiaoConstantine

Semantic and hybrid code and conversation search for intent-based queries. Use when exploring unfamiliar codebases, finding code by concept instead of exact text, or recalling past agent conversations about similar problems.

Semantic and hybrid code and conversation search for intent-based queries. Use when exploring unfamiliar codebases, finding code by concept instead of exact text, or recalling past agent conversations about similar problems.

Recursive Language Model for processing large contexts (>50KB). Use for complex analysis tasks where token efficiency matters. Achieves 40% token savings by letting the LLM programmatically explore context via Query() and FINAL() patterns.