dory-memory 0.1.11

Backend memory store for Hermes Agent — pgvector-powered semantic memory engine with server-side embeddings
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
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
use chrono::{DateTime, Utc};
use sqlx::PgPool;
use uuid::Uuid;

use crate::cache::DoryCacheManager;
use crate::models::{DoryInsertPayload, DoryIntent, DoryMemoryNode, TimeWindow};

#[derive(serde::Serialize)]
pub struct DoryStats {
    pub total_memories: i64,
    pub immortal_count: i64,
    pub namespace_count: i64,
    pub namespaces: Vec<NamespaceStat>,
    pub avg_importance: f64,
    pub low_importance_count: i64,
    pub oldest_memory: Option<DateTime<Utc>>,
    pub newest_memory: Option<DateTime<Utc>>,
}

#[derive(serde::Serialize)]
pub struct NamespaceStat {
    pub name: String,
    pub count: i64,
}

pub struct DoryEngine {
    pool: PgPool,
}

impl DoryEngine {
    pub fn new(pool: PgPool) -> Self {
        Self { pool }
    }

    pub async fn process_and_route_memory(
        &self,
        cache_manager: &DoryCacheManager,
        mut payload: DoryInsertPayload,
        intent: DoryIntent,
    ) -> Result<(), sqlx::Error> {
        match intent {
            DoryIntent::Correction => {
                let mut sandbox = cache_manager.get_sandbox_lock().await;
                if let Some(last_inserted) = sandbox.back_mut() {
                    last_inserted.content_l0 = payload.content_l0;
                    last_inserted.content_l1 = payload.content_l1;
                    last_inserted.content_l2 = payload.content_l2;
                    return Ok(());
                }
                self.commit_memory(payload).await?;
            }
            DoryIntent::Environment => {
                payload.is_immortal = true;
                payload.tags.push("type:environment".to_string());
                payload.tags.push("scope:global".to_string());
                self.commit_memory(payload).await?;
            }
            DoryIntent::Preference => {
                payload.tags.push("type:preference".to_string());
                payload.tags.push("scope:habit".to_string());
                self.commit_memory(payload).await?;
            }
            DoryIntent::Backlog => {
                payload.tags.push("status:backlog".to_string());
                payload.tags.push("type:idea".to_string());
                self.commit_memory(payload).await?;
            }
            DoryIntent::Reference => {
                payload.is_immortal = true;
                payload.tags.push("type:reference".to_string());
                payload.tags.push("scope:documentation".to_string());
                self.commit_memory(payload).await?;
            }
            DoryIntent::Pivot => {
                cache_manager.flush_sandbox_to_db(self).await?;
                cache_manager.stage_ephemeral_memory(payload).await;
            }
            DoryIntent::Task => {
                cache_manager.stage_ephemeral_memory(payload).await;
            }
            DoryIntent::Standard => {
                self.commit_memory(payload).await?;
            }
        }
        Ok(())
    }

    pub async fn commit_memory(&self, payload: DoryInsertPayload) -> Result<Uuid, sqlx::Error> {
        let vector_wrapper = pgvector::Vector::from(payload.embedding);
        let tags_json = serde_json::to_value(&payload.tags).unwrap_or_default();

        let row = sqlx::query_scalar::<_, Uuid>(
            r#"
            INSERT INTO dory_memories (namespace, content_l0, content_l1, content_l2, embedding, is_immortal, tags, deferred_until)
            VALUES ($1, $2, $3, $4, $5, $6, $7, $8)
            RETURNING id
            "#,
        )
        .bind(&payload.namespace)
        .bind(&payload.content_l0)
        .bind(&payload.content_l1)
        .bind(&payload.content_l2)
        .bind(vector_wrapper)
        .bind(payload.is_immortal)
        .bind(tags_json)
        .bind(payload.deferred_until)
        .fetch_one(&self.pool)
        .await?;

        Ok(row)
    }

    pub async fn hybrid_recall(
        &self,
        namespace: &str,
        query_text: &str,
        query_embedding: Vec<f32>,
        required_tags: Vec<String>,
        candidate_limit: i32,
    ) -> Result<Vec<DoryMemoryNode>, sqlx::Error> {
        let vector_wrapper = pgvector::Vector::from(query_embedding);
        let tags_filter = serde_json::to_value(&required_tags).unwrap_or_default();

        let records = sqlx::query_as::<_, DoryMemoryNode>(
            r#"
            WITH vector_matches AS (
                SELECT id, ROW_NUMBER() OVER (ORDER BY embedding <=> $1) AS rank
                FROM dory_memories
                WHERE namespace = $2 AND tags @> $3::jsonb
                LIMIT 50
            ),
            text_matches AS (
                SELECT id, ROW_NUMBER() OVER (ORDER BY ts_rank(fts_tokens, plainto_tsquery('english', $4)) DESC) AS rank
                FROM dory_memories
                WHERE namespace = $2 AND fts_tokens @@ plainto_tsquery('english', $4) AND tags @> $3::jsonb
                LIMIT 50
            )
            SELECT m.id, m.namespace, m.content_l0, m.content_l1, m.content_l2,
                   m.embedding, m.importance, m.is_immortal, m.tags, m.deferred_until, m.last_accessed_at, m.created_at
            FROM dory_memories m
            JOIN (
                SELECT COALESCE(v.id, t.id) AS id,
                       (1.0 / (60 + COALESCE(v.rank, 10000)) + 1.0 / (60 + COALESCE(t.rank, 10000))) AS rrf_score
                FROM vector_matches v
                FULL OUTER JOIN text_matches t ON v.id = t.id
            ) scores ON m.id = scores.id
            ORDER BY scores.rrf_score DESC
            LIMIT $5
            "#,
        )
        .bind(vector_wrapper)
        .bind(namespace)
        .bind(tags_filter)
        .bind(query_text)
        .bind(candidate_limit)
        .fetch_all(&self.pool)
        .await?;

        let ids: Vec<Uuid> = records.iter().map(|r| r.id).collect();
        if !ids.is_empty() {
            sqlx::query(
                "UPDATE dory_memories SET last_accessed_at = NOW(), importance = LEAST(importance + 0.20, 1.0) WHERE id = ANY($1)",
            )
            .bind(&ids)
            .execute(&self.pool)
            .await?;
        }

        Ok(records)
    }

    pub async fn temporal_recall(
        &self,
        namespace: &str,
        time_window: Option<TimeWindow>,
        required_tags: Vec<String>,
        limit: i32,
    ) -> Result<Vec<DoryMemoryNode>, sqlx::Error> {
        let tags_filter = serde_json::to_value(&required_tags).unwrap_or_default();

        match time_window {
            Some(window) => {
                sqlx::query_as::<_, DoryMemoryNode>(
                    r#"
                    SELECT id, namespace, content_l0, content_l1, content_l2, embedding, importance, is_immortal, tags, deferred_until, last_accessed_at, created_at
                    FROM dory_memories
                    WHERE namespace = $1 AND tags @> $2::jsonb AND created_at >= $3 AND created_at <= $4
                    ORDER BY created_at DESC
                    LIMIT $5
                    "#,
                )
                .bind(namespace)
                .bind(tags_filter)
                .bind(window.start)
                .bind(window.end)
                .bind(limit)
                .fetch_all(&self.pool)
                .await
            }
            None => {
                sqlx::query_as::<_, DoryMemoryNode>(
                    r#"
                    SELECT id, namespace, content_l0, content_l1, content_l2, embedding, importance, is_immortal, tags, deferred_until, last_accessed_at, created_at
                    FROM dory_memories
                    WHERE namespace = $1 AND tags @> $2::jsonb AND (deferred_until IS NULL OR deferred_until <= NOW())
                    ORDER BY importance DESC, created_at DESC
                    LIMIT $3
                    "#,
                )
                .bind(namespace)
                .bind(tags_filter)
                .bind(limit)
                .fetch_all(&self.pool)
                .await
            }
        }
    }

    pub async fn recall_within_token_budget(
        &self,
        namespace: &str,
        query_text: &str,
        query_vector: Vec<f32>,
        tags: Vec<String>,
        time_window: Option<TimeWindow>,
        max_token_budget: usize,
    ) -> Result<Vec<DoryMemoryNode>, sqlx::Error> {
        let candidates = if time_window.is_some() || (query_text.is_empty() && !tags.is_empty()) {
            self.temporal_recall(namespace, time_window, tags, 20)
                .await?
        } else {
            self.hybrid_recall(namespace, query_text, query_vector, tags, 20)
                .await?
        };

        let mut selected_nodes = Vec::new();
        let mut current_tokens = 0;
        let bpe = tiktoken_rs::cl100k_base().expect("Failed to load BPE tokenizer");

        for node in candidates {
            let node_tokens = bpe.encode_with_special_tokens(&node.content_l0).len();
            if current_tokens + node_tokens > max_token_budget {
                break;
            }
            current_tokens += node_tokens;
            selected_nodes.push(node);
        }
        Ok(selected_nodes)
    }

    pub async fn proactive_horizon_sweep(
        &self,
        namespace: &str,
    ) -> Result<Vec<DoryMemoryNode>, sqlx::Error> {
        sqlx::query_as::<_, DoryMemoryNode>(
            r#"
            SELECT id, namespace, content_l0, content_l1, content_l2, embedding, importance, is_immortal, tags, deferred_until, last_accessed_at, created_at
            FROM dory_memories
            WHERE namespace = $1
              AND tags @> '["status:todo"]'::jsonb
              AND (deferred_until IS NULL OR deferred_until <= NOW())
              AND last_accessed_at < NOW() - INTERVAL '24 hours'
            ORDER BY importance DESC
            LIMIT 5
            "#,
        )
        .bind(namespace)
        .fetch_all(&self.pool)
        .await
    }

    pub async fn get_namespace_dimensions(&self, name: &str) -> Result<Option<i32>, sqlx::Error> {
        let row =
            sqlx::query_scalar::<_, i32>("SELECT dimensions FROM dory_namespaces WHERE name = $1")
                .bind(name)
                .fetch_optional(&self.pool)
                .await?;
        Ok(row)
    }

    pub async fn ensure_namespace(
        &self,
        name: &str,
        model: &str,
        dimensions: i32,
    ) -> Result<(), sqlx::Error> {
        sqlx::query(
            r#"
            INSERT INTO dory_namespaces (name, embedding_model, dimensions)
            VALUES ($1, $2, $3)
            ON CONFLICT (name) DO NOTHING
            "#,
        )
        .bind(name)
        .bind(model)
        .bind(dimensions)
        .execute(&self.pool)
        .await?;
        Ok(())
    }

    pub async fn delete_memory(&self, id: Uuid) -> Result<bool, sqlx::Error> {
        let result = sqlx::query("DELETE FROM dory_memories WHERE id = $1")
            .bind(id)
            .execute(&self.pool)
            .await?;
        Ok(result.rows_affected() > 0)
    }

    pub async fn list_stale(
        &self,
        namespace: Option<&str>,
        older_than_hours: i64,
        importance_below: f32,
        limit: i32,
    ) -> Result<Vec<DoryMemoryNode>, sqlx::Error> {
        match namespace {
            Some(ns) => {
                sqlx::query_as::<_, DoryMemoryNode>(
                    r#"
                    SELECT id, namespace, content_l0, content_l1, content_l2, embedding, importance, is_immortal, tags, deferred_until, last_accessed_at, created_at
                    FROM dory_memories
                    WHERE namespace = $1
                      AND is_immortal = FALSE
                      AND last_accessed_at < NOW() - ($2 || ' hours')::INTERVAL
                      AND importance < $3
                    ORDER BY last_accessed_at ASC
                    LIMIT $4
                    "#,
                )
                .bind(ns)
                .bind(older_than_hours.to_string())
                .bind(importance_below)
                .bind(limit)
                .fetch_all(&self.pool)
                .await
            }
            None => {
                sqlx::query_as::<_, DoryMemoryNode>(
                    r#"
                    SELECT id, namespace, content_l0, content_l1, content_l2, embedding, importance, is_immortal, tags, deferred_until, last_accessed_at, created_at
                    FROM dory_memories
                    WHERE is_immortal = FALSE
                      AND last_accessed_at < NOW() - ($1 || ' hours')::INTERVAL
                      AND importance < $2
                    ORDER BY last_accessed_at ASC
                    LIMIT $3
                    "#,
                )
                .bind(older_than_hours.to_string())
                .bind(importance_below)
                .bind(limit)
                .fetch_all(&self.pool)
                .await
            }
        }
    }

    pub async fn batch_delete(
        &self,
        namespace: Option<&str>,
        older_than_hours: Option<i64>,
        importance_below: Option<f32>,
        tags_required: Vec<String>,
    ) -> Result<u64, sqlx::Error> {
        let tags_filter = serde_json::to_value(&tags_required).unwrap_or_default();
        let has_tags = !tags_required.is_empty();

        if let Some(ns) = namespace {
            if let Some(hours) = older_than_hours
                && let Some(imp) = importance_below
            {
                let result = sqlx::query(
                    r#"
                    DELETE FROM dory_memories
                    WHERE namespace = $1
                      AND is_immortal = FALSE
                      AND last_accessed_at < NOW() - ($2 || ' hours')::INTERVAL
                      AND importance < $3
                      AND ($4::bool = FALSE OR tags @> $5::jsonb)
                    "#,
                )
                .bind(ns)
                .bind(hours.to_string())
                .bind(imp)
                .bind(has_tags)
                .bind(tags_filter)
                .execute(&self.pool)
                .await?;
                return Ok(result.rows_affected());
            }
            let result = sqlx::query(
                r#"
                DELETE FROM dory_memories
                WHERE namespace = $1
                  AND is_immortal = FALSE
                  AND ($2::bool = FALSE OR tags @> $3::jsonb)
                "#,
            )
            .bind(ns)
            .bind(has_tags)
            .bind(tags_filter)
            .execute(&self.pool)
            .await?;
            Ok(result.rows_affected())
        } else {
            if let Some(hours) = older_than_hours
                && let Some(imp) = importance_below
            {
                let result = sqlx::query(
                    r#"
                    DELETE FROM dory_memories
                    WHERE is_immortal = FALSE
                      AND last_accessed_at < NOW() - ($1 || ' hours')::INTERVAL
                      AND importance < $2
                      AND ($3::bool = FALSE OR tags @> $4::jsonb)
                    "#,
                )
                .bind(hours.to_string())
                .bind(imp)
                .bind(has_tags)
                .bind(tags_filter)
                .execute(&self.pool)
                .await?;
                return Ok(result.rows_affected());
            }
            let result = sqlx::query(
                r#"
                DELETE FROM dory_memories
                WHERE is_immortal = FALSE
                  AND ($1::bool = FALSE OR tags @> $2::jsonb)
                "#,
            )
            .bind(has_tags)
            .bind(tags_filter)
            .execute(&self.pool)
            .await?;
            Ok(result.rows_affected())
        }
    }

    pub async fn get_stats(&self) -> Result<DoryStats, sqlx::Error> {
        let total: (Option<i64>,) = sqlx::query_as("SELECT COUNT(*) FROM dory_memories")
            .fetch_one(&self.pool)
            .await?;

        let immortal: (Option<i64>,) =
            sqlx::query_as("SELECT COUNT(*) FROM dory_memories WHERE is_immortal = TRUE")
                .fetch_one(&self.pool)
                .await?;

        let ns_count: (Option<i64>,) = sqlx::query_as("SELECT COUNT(*) FROM dory_namespaces")
            .fetch_one(&self.pool)
            .await?;

        let ns_rows: Vec<(String, Option<i64>)> = sqlx::query_as(
            "SELECT n.name, COUNT(m.id)::bigint FROM dory_namespaces n LEFT JOIN dory_memories m ON m.namespace = n.name GROUP BY n.name ORDER BY count DESC",
        )
        .fetch_all(&self.pool).await?;

        let avg_imp: (Option<f64>,) =
            sqlx::query_as("SELECT AVG(importance::numeric)::float8 FROM dory_memories")
                .fetch_one(&self.pool)
                .await?;

        let low_imp: (Option<i64>,) = sqlx::query_as(
            "SELECT COUNT(*) FROM dory_memories WHERE importance < 0.15 AND is_immortal = FALSE",
        )
        .fetch_one(&self.pool)
        .await?;

        let oldest: (Option<DateTime<Utc>>,) =
            sqlx::query_as("SELECT MIN(created_at) FROM dory_memories")
                .fetch_one(&self.pool)
                .await?;

        let newest: (Option<DateTime<Utc>>,) =
            sqlx::query_as("SELECT MAX(created_at) FROM dory_memories")
                .fetch_one(&self.pool)
                .await?;

        Ok(DoryStats {
            total_memories: total.0.unwrap_or(0),
            immortal_count: immortal.0.unwrap_or(0),
            namespace_count: ns_count.0.unwrap_or(0),
            namespaces: ns_rows
                .into_iter()
                .map(|(name, count)| NamespaceStat {
                    name,
                    count: count.unwrap_or(0),
                })
                .collect(),
            avg_importance: avg_imp.0.unwrap_or(0.0),
            low_importance_count: low_imp.0.unwrap_or(0),
            oldest_memory: oldest.0,
            newest_memory: newest.0,
        })
    }

    pub fn pool_ref(&self) -> &PgPool {
        &self.pool
    }
}