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 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58

{
  "$id": "https://github.com/daniloaguiarbr/sqlite-graphrag/schemas/optimize.schema.json",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false,
  "description": "Response emitted by `sqlite-graphrag optimize` on stdout as a single JSON line.",
  "properties": {
    "db_path": {
      "type": "string"
    },
    "elapsed_ms": {
      "description": "Handler wall-clock time in milliseconds.",
      "minimum": 0,
      "type": "integer"
    },
    "fts_rebuilt": {
      "description": "Whether the FTS5 index was rebuilt during optimization.",
      "type": "boolean"
    },
    "fts_rows_indexed": {
      "type": [
        "string",
        "number",
        "boolean",
        "null"
      ]
    },
    "fts_skipped_functional": {
      "type": [
        "string",
        "number",
        "boolean",
        "null"
      ]
    },
    "fts_unhealthy": {
      "type": [
        "string",
        "number",
        "boolean",
        "null"
      ]
    },
    "status": {
      "enum": [
        "ok"
      ],
      "type": "string"
    }
  },
  "required": [
    "db_path",
    "status",
    "fts_rebuilt",
    "elapsed_ms"
  ],
  "title": "OptimizeResponse",
  "type": "object"
}