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/edit.schema.json",
  "title": "EditResponse",
  "description": "Response emitted by `sqlite-graphrag edit` on stdout as a single JSON line. backend_invoked added in v1.0.84 by ADR-0042.",
  "type": "object",
  "required": ["memory_id", "name", "action", "version", "elapsed_ms"],
  "additionalProperties": false,
  "properties": {
    "memory_id":  { "type": "integer" },
    "name":       { "type": "string" },
    "action":     { "type": "string", "enum": ["updated"] },
    "version":    { "type": "integer", "minimum": 1 },
    "elapsed_ms": { "type": "integer", "minimum": 0, "description": "Handler wall-clock time in milliseconds." },
    "backend_invoked": {
      "description": "v1.0.84 (ADR-0042): backend LLM that ran the live embedding (claude, codex, or none). Omitted when no backend was invoked.",
      "type": "string",
      "enum": ["claude", "codex", "opencode", "openrouter", "none", "auto"]
    }
  }
}