Nudox

Compiler-verified · MCP-native

Graph for your Agent

The amount of code being produced is increasingly exponentially. It bloats context and fills limits to keep agents sharp. Nudox brings fact-backed querying for a world that needs to keep up.

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What is Nudox?

A compiler-verified, version-aware graph of code that AI agents query over MCP instead of burning tokens re-exploring a codebase.

The benefits of Nudox

Two things compound quietly in an agent-assisted codebase: the tokens spent re-reading code the agent has already seen, and the bugs that slip through when it works from a stale picture. Compare the trajectories.

Relative volume Time in production

Token consumptionBugs in the codebase

Every session starts cold. The agent re-reads the same directories to rebuild context it had yesterday, and token spend compounds faster than the codebase itself grows. Working from a stale picture of the code, it reaches for APIs that moved — and the defect count climbs behind it.

The agent asks for the symbols a task actually touches and gets them back already resolved against the version you are running. Re-exploration stops being the default, and the class of bug that comes from guessing at a stale API stops arriving.

What one session actually costs

The same task, the same model, run twice — once by an agent that re-explores the codebase from scratch, once by an agent that queries the graph. Both sessions are drawn to the same scale.

Task · Add rate limiting to the auth middleware

Re-explorationGraph queryActual workDefect shipped

5×fewer tokens per session

3×fewer defects shipped

How Nudox Works

router.rs user_svc.rs tests/auth.rs TokenStore AuthToken::refresh session.rs middleware.rs api/auth.rs
Nudox parses your codebase into a dependency graph — every file, symbol, and relationship — so an agent asking about AuthToken::refresh gets back exactly what calls it and what it touches, not a pile of grep results to sift through. The graph is version-aware and rebuilt deterministically, with no LLMs in the pipeline, so its structure is never hallucinated. Agents query it over MCP and get only the exact context a task needs instead of burning tokens re-exploring the same code every session — cutting token consumption by 5×.

Ready to ground your agents in truth?

Stop shipping hallucinated APIs. Give your agents compiler-verified knowledge of any codebase.

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