sqlite-graphrag 1.1.4

Persistent GraphRAG memory for Claude Code, Codex, Cursor, and 24+ AI agents — one self-contained ~16 MiB Rust binary, zero daemon. Never re-explain your codebase again. Hybrid retrieval (FTS5 BM25 + cosine similarity + multi-hop graph traversal) surfaces the right memory in milliseconds. Embedding and entity enrichment run as parallel REST calls against your cloud LLM — no fragile headless subprocesses, no ONNX runtime, no model downloads. Soft-delete with full version history, transactional atomic writes, BLAKE3-tracked mutations. OAuth-only: raw API keys ABORT the spawn.
Documentation
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://github.com/daniloaguiarbr/sqlite-graphrag/schemas/namespace-detect.schema.json",
  "title": "NamespaceResolution",
  "description": "Response emitted by `sqlite-graphrag namespace-detect` on stdout as a single JSON line. Exit codes: 0 success, 1 runtime error, 2 CLI usage error.",
  "type": "object",
  "required": ["namespace", "source", "cwd", "elapsed_ms"],
  "additionalProperties": false,
  "properties": {
    "namespace":             { "type": "string", "description": "Resolved namespace string." },
    "source":                {
      "type": "string",
      "enum": ["explicit_flag", "environment", "default"],
      "description": "How the namespace was resolved."
    },
    "cwd":                   { "type": "string", "description": "Absolute path of the working directory at resolution time." },
    "elapsed_ms":            { "type": "integer", "minimum": 0, "description": "Wall-clock time in milliseconds." }
  }
}