Atlas
Deterministic code intelligence for developers and AI
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Atlas - Deterministic code intelligence for developers and AI

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Atlas helps developers and AI coding assistants understand any codebase with confidence. Find symbols, trace callers and dependencies, assess change impact, and retrieve focused context with exact file-and-line citations. Results are deterministic and reproducible. Atlas runs locally as a single binary with SQLite, CLI, MCP, and HTTP; your code never leaves your machine. Published benchmarks show 36× fewer context tokens and 17× faster retrieval than the tested graph baseline.

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We built Atlas after seeing AI coding tools consume huge prompts yet still miss the few files and relationships that actually matter. Our goal was a local map of the codebase: compact, source-grounded context for humans and assistants without sending repositories to a hosted service. Atlas indexes symbols, references, callers, routes, and likely change impact into SQLite, then returns bounded answers with file:line citations through CLI, MCP, or HTTP. We’d love feedback on language coverage, workflows, and the queries you want Atlas to answer next.