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now in public beta

Not full-text search wearing a trenchcoat.

Code needs more than semantic chunks. Maguyva fuses five retrieval modes into one ranked answer, grounded in the real repo.

Index your first repo Read the docs

free plan: 3 repos, 50K indexed lines, no card.

// five modes

Semantic, structural, graph, text, grounded

Five retrieval lenses ranked into one answer. Not single-mode RAG over chunks.

// grounded

File paths and line numbers

Every result points at real code you can open and verify. No confident hallucination.

// any client

Remote MCP, 278 languages

Works with Claude, Codex, Cursor, and any MCP client. No local indexer to run.

Try it on a repo where you can verify.

Index one repo you already know and ask one question you can check against the source.

  1. // step 01

    Index a repo you know

    Pick one where you can verify the answer against the source. Free tier: 3 repos, 50K indexed lines.

  2. // step 02

    Connect over MCP

    Claude, Codex, Cursor, or any MCP client. One remote server, no embeddings to manage.

  3. // step 03

    Ask a question RAG usually fumbles

    Find the real implementation, not the test mock. Watch five modes rank it first.

now in public beta

Five fused retrieval modes, one ranked answer.

Start free. See why multi-lens retrieval beats single-mode RAG on real code. No credit card, no sales call.

Index your first repo Read the docs

free plan: 3 repos, 50K indexed lines, no card.