mimirs

★ 30

vs

ken

★ 33

mimirs vs ken

mimirs: Mímirs provides persistent project memory for AI coding agents, reducing token consumption and context overhead through local indexing, semantic search, cross-session memory, and dependency graphs. It works with multiple editors and is privacy-preserving with no cloud dependencies. The tool achieves 90-98% recall@10 on real codebases.; ken: Ken is a pure Go port of semble, providing fast hybrid code search for agents with drop-in MCP compatibility. It offers a single static binary distribution, approximately 44x fewer tokens than grep+Read at recall@10, and supports indexing source code and documentation. The retrieval algorithm is a verbatim port of semble's hybrid BM25 + Model2Vec approach.