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/remember-batch.schema.json",
  "title": "RememberBatchItemEvent",
  "description": "Per-item event emitted by `sqlite-graphrag remember-batch` on stdout as NDJSON. Each line represents one memory processed. The final line is a BatchSummary (see remember-batch-summary.schema.json).",
  "type": "object",
  "required": ["name", "status", "index"],
  "additionalProperties": false,
  "properties": {
    "name":       { "type": "string", "description": "Normalized kebab-case memory name." },
    "status":     { "type": "string", "enum": ["indexed", "failed"] },
    "memory_id":  { "type": "integer", "description": "Present when status=indexed." },
    "error":      { "type": "string", "description": "Present when status=failed." },
    "index":      { "type": "integer", "minimum": 0, "description": "Zero-based index of the input line." }
  }
}