UniDB-PyAtlas

The Problem: The Hallucination Dilemma

Modern coding agents (Claude, Cursor, Windsurf) frequently hallucinate Python API signatures, deprecated kwargs, and library types. When models speculate on parameters that changed between versions (e.g., Pydantic v1 vs. v2, FastAPI, HTTPX), developers waste hours debugging subtle runtime exceptions.

The PyAtlas Solution

UniDB-PyAtlas indexes entire package ecosystems into a pre-baked, page-aligned UniDB binary layout. It gives AI coding agents instant, deterministic ground truth:

• 0ms Cold Boot (42ms total process time): Uses pre-baked binary index regions (magic PAIX) accessed directly via memory-mapped pointer slices with zero deserialization.
• Sub-Microsecond Point Lookups (< 1µs): Direct-memory symbol headers eliminate runtime JSON deserialization entirely.
• CSR Dependency Graphs: Maps classes, methods, functions, and module exports with instant relationship navigation.
• Bitemporal Package Versions: Tracks symbol definitions across library releases without data corruption or overlapping intervals.

{
  "mcpServers": {
    "pyatlas": {
      "url": "https://pyatlas.unidb.io/sse"
    }
  }
}