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
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{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://github.com/daniloaguiarbr/sqlite-graphrag/schemas/reclassify.schema.json",
  "title": "ReclassifyResponse",
  "description": "Response emitted by `sqlite-graphrag reclassify --json` on stdout as a single JSON line.",
  "type": "object",
  "required": ["action", "count", "namespace", "elapsed_ms"],
  "additionalProperties": false,
  "properties": {
    "action":     { "type": "string", "const": "reclassified", "description": "Always 'reclassified' on success." },
    "count":      { "type": "integer", "minimum": 0, "description": "Number of entities whose type was updated by this operation." },
    "description_updated": { "type": "boolean", "description": "Present and true when --description was applied in single mode." },
    "namespace":  { "type": "string", "description": "Namespace in which the reclassification was performed." },
    "elapsed_ms": { "type": "integer", "minimum": 0, "description": "Handler wall-clock time in milliseconds." }
  }
}