mnemosyne-ollama drops zero-config local code search

// 53d agoOPENSOURCE RELEASE

mnemosyne-ollama drops zero-config local code search

mnemosyne-ollama is an open-source bridge connecting Ollama to the Mnemosyne retrieval engine for zero-config local code search. It uses a 6-tiered hybrid retrieval system to provide models with accurate code citations and ranked chunks without external vector databases.

// ANALYSIS

Mnemosyne's shift away from vector embeddings towards structural signals like AST-aware compression is a smart move for codebase RAG.

* Uses 6-tiered hybrid retrieval instead of just vector search.

* Zero-dependency bridge (210 lines of code) makes it extremely lightweight.

* MCP integration allows it to work with both local models (via Ollama) and frontier models (via Claude Code).

* AST-aware compression significantly reduces token usage while keeping code meaning intact.

// TAGS

mnemosyne-ollamaollamaragcodebase-searchmcplocal-llmpythonopen-source

DISCOVERED

53d ago

2026-04-04

PUBLISHED

53d ago

2026-04-04

RELEVANCE

8/ 10

AUTHOR

Enough_Leopard3524

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