remem-ai 0.6.70

Local-first coding agent memory for Claude Code and OpenAI Codex
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
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
use anyhow::Result;
use rusqlite::{params, Connection, OptionalExtension};

use crate::memory::poisoning::{scan_instruction_pattern, InstructionPatternMatch};
use crate::memory::Memory;

use super::{
    consolidation::{classify_preference_texts, PreferenceConsolidationKind},
    query_global_preferences, query_project_preferences,
};

#[derive(Debug, Clone, Copy, Default, PartialEq, Eq)]
pub struct PreferenceRenderSummary {
    pub rendered: usize,
    pub project_rendered: usize,
    pub global_rendered: usize,
}

#[derive(Debug, Clone, Default)]
pub(crate) struct PreferenceRenderDetails {
    pub summary: PreferenceRenderSummary,
    pub rendered_ids: Vec<i64>,
    /// Canonical rows from the same query snapshot that produced the text.
    /// Bundle compilation must not query these identities a second time:
    /// another process could supersede or suppress a row between rendering
    /// and compilation.
    pub rendered_memories: Vec<Memory>,
    /// Unsafe rows rejected before rendering. Bundle consumers retain only a
    /// redacted identity for their selection/drop audit.
    pub poisoning_drops: Vec<Memory>,
    /// Safe canonical rows intentionally omitted by preference selection.
    /// Context Bundle consumers use these identities and stable reasons to
    /// account for every fetched row without re-running the selector.
    pub selection_drops: Vec<PreferenceSelectionDrop>,
    /// Character offsets, relative to the start of this preference render,
    /// immediately after each rendered list item.
    pub item_end_chars: Vec<usize>,
}

#[derive(Debug, Clone)]
pub(crate) struct PreferenceSelectionDrop {
    pub(crate) memory: Memory,
    pub(crate) reason: &'static str,
}

pub(crate) const DROP_CLAUDE_MD_DEDUP: &str = "claude_md_dedup";
pub(crate) const DROP_PREFERENCE_SIMILARITY_DEDUP: &str = "preference_similarity_dedup";
pub(crate) const DROP_PREFERENCE_CHAR_LIMIT: &str = "preference_char_limit";
pub(crate) const DROP_PROJECT_TOPIC_OVERRIDE: &str = "project_topic_override";

impl PreferenceRenderDetails {
    pub(crate) fn absolute_item_end_chars(&self, output_start: usize) -> Vec<usize> {
        self.item_end_chars
            .iter()
            .map(|end| output_start + end)
            .collect()
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq)]
enum PreferenceSource {
    Project,
    Global,
}

pub fn dedup_with_claude_md(prefs: &[Memory], cwd: &str) -> Vec<usize> {
    let claude_md_path = std::path::Path::new(cwd).join("CLAUDE.md");
    let claude_md_content = std::fs::read_to_string(&claude_md_path).unwrap_or_default();

    if claude_md_content.is_empty() {
        return (0..prefs.len()).collect();
    }

    let claude_lower = claude_md_content.to_lowercase();
    (0..prefs.len())
        .filter(|&i| {
            let title_lower = prefs[i].title.to_lowercase();
            let search_term = title_lower
                .strip_prefix("preference: ")
                .unwrap_or(&title_lower);
            !claude_lower.contains(search_term)
        })
        .collect()
}

pub fn render_preferences(
    output: &mut String,
    conn: &Connection,
    project: &str,
    cwd: &str,
) -> Result<()> {
    render_preferences_with_limits(output, conn, project, cwd, 20, 0, 1500).map(|_| ())
}

pub fn render_preferences_with_limits(
    output: &mut String,
    conn: &Connection,
    project: &str,
    cwd: &str,
    project_limit: usize,
    global_limit: usize,
    char_limit: usize,
) -> Result<usize> {
    render_preferences_with_context_details(
        output,
        conn,
        project,
        cwd,
        project_limit,
        global_limit,
        char_limit,
    )
    .map(|details| details.summary.rendered)
}

pub fn render_preferences_with_limits_detailed(
    output: &mut String,
    conn: &Connection,
    project: &str,
    cwd: &str,
    project_limit: usize,
    global_limit: usize,
    char_limit: usize,
) -> Result<PreferenceRenderSummary> {
    render_preferences_with_context_details(
        output,
        conn,
        project,
        cwd,
        project_limit,
        global_limit,
        char_limit,
    )
    .map(|details| details.summary)
}

pub(crate) fn render_preferences_with_context_details(
    output: &mut String,
    conn: &Connection,
    project: &str,
    cwd: &str,
    project_limit: usize,
    global_limit: usize,
    char_limit: usize,
) -> Result<PreferenceRenderDetails> {
    let project_prefs = query_project_preferences(conn, project, project_limit)?;
    let global_prefs = query_global_preferences(conn, global_limit)?;

    let mut all_prefs: Vec<(Memory, PreferenceSource)> = project_prefs
        .into_iter()
        .map(|memory| (memory, PreferenceSource::Project))
        .collect();
    let project_topics: std::collections::HashSet<String> = all_prefs
        .iter()
        .filter_map(|(memory, _)| memory.topic_key.clone())
        .collect();
    let mut selection_drops = Vec::new();
    for global_pref in global_prefs {
        if let Some(ref topic_key) = global_pref.topic_key {
            if project_topics.contains(topic_key) {
                selection_drops.push(PreferenceSelectionDrop {
                    memory: global_pref,
                    reason: DROP_PROJECT_TOPIC_OVERRIDE,
                });
                continue;
            }
        }
        all_prefs.push((global_pref, PreferenceSource::Global));
    }
    let (filtered_prefs, poisoning_drops) =
        filter_unacknowledged_poisoned_preferences(conn, all_prefs)?;
    all_prefs = filtered_prefs;

    if all_prefs.is_empty() {
        return Ok(PreferenceRenderDetails {
            poisoning_drops,
            selection_drops,
            ..PreferenceRenderDetails::default()
        });
    }

    let memories = all_prefs
        .iter()
        .map(|(memory, _)| memory.clone())
        .collect::<Vec<_>>();
    let keep_indices = dedup_with_claude_md(&memories, cwd);
    record_selection_drops(
        &all_prefs,
        &(0..all_prefs.len()).collect::<Vec<_>>(),
        &keep_indices,
        DROP_CLAUDE_MD_DEDUP,
        &mut selection_drops,
    );
    if keep_indices.is_empty() {
        return Ok(PreferenceRenderDetails {
            poisoning_drops,
            selection_drops,
            ..PreferenceRenderDetails::default()
        });
    }
    let similarity_keep_indices = dedup_with_preference_similarity(&memories, &keep_indices);
    record_selection_drops(
        &all_prefs,
        &keep_indices,
        &similarity_keep_indices,
        DROP_PREFERENCE_SIMILARITY_DEDUP,
        &mut selection_drops,
    );
    if similarity_keep_indices.is_empty() {
        return Ok(PreferenceRenderDetails {
            poisoning_drops,
            selection_drops,
            ..PreferenceRenderDetails::default()
        });
    }

    output.push_str("## Your Preferences (always apply these)\n");
    let mut total_chars = 0usize;
    let mut summary = PreferenceRenderSummary::default();
    let mut rendered_ids = Vec::new();
    let mut rendered_memories = Vec::new();
    let mut item_end_chars = Vec::new();
    let header_chars = "## Your Preferences (always apply these)\n".chars().count();
    for (position, &idx) in similarity_keep_indices.iter().enumerate() {
        let (pref, source) = &all_prefs[idx];
        let text = normalize_rendered_preference_text(&pref.text);
        let preview: String = text.chars().take(120).collect();
        let line = if preview.chars().count() < text.chars().count() {
            format!("- {}...\n", preview)
        } else {
            format!("- {text}\n")
        };
        let line_chars = line.chars().count();
        if total_chars + line_chars > char_limit && total_chars > 0 {
            selection_drops.extend(similarity_keep_indices[position..].iter().map(|&drop_idx| {
                PreferenceSelectionDrop {
                    memory: all_prefs[drop_idx].0.clone(),
                    reason: DROP_PREFERENCE_CHAR_LIMIT,
                }
            }));
            break;
        }
        output.push_str(&line);
        total_chars += line_chars;
        summary.rendered += 1;
        rendered_ids.push(pref.id);
        rendered_memories.push(pref.clone());
        item_end_chars.push(header_chars + total_chars);
        match source {
            PreferenceSource::Project => summary.project_rendered += 1,
            PreferenceSource::Global => summary.global_rendered += 1,
        }
    }
    output.push('\n');

    Ok(PreferenceRenderDetails {
        summary,
        rendered_ids,
        rendered_memories,
        poisoning_drops,
        selection_drops,
        item_end_chars,
    })
}

fn record_selection_drops(
    prefs: &[(Memory, PreferenceSource)],
    before: &[usize],
    after: &[usize],
    reason: &'static str,
    drops: &mut Vec<PreferenceSelectionDrop>,
) {
    drops.extend(
        before
            .iter()
            .filter(|idx| !after.contains(idx))
            .map(|&idx| PreferenceSelectionDrop {
                memory: prefs[idx].0.clone(),
                reason,
            }),
    );
}

#[derive(Debug, Default)]
struct PreferencePoisoningState {
    acknowledged_pattern_id: Option<String>,
    acknowledged_pattern_version: Option<i64>,
    source_trust_class: String,
    source_project: Option<String>,
}

fn filter_unacknowledged_poisoned_preferences(
    conn: &Connection,
    prefs: Vec<(Memory, PreferenceSource)>,
) -> Result<(Vec<(Memory, PreferenceSource)>, Vec<Memory>)> {
    let mut kept = Vec::with_capacity(prefs.len());
    let mut dropped = Vec::new();
    for (memory, source) in prefs {
        let Some(pattern_match) =
            scan_instruction_pattern(&format!("{}\n{}", memory.title, memory.text))
        else {
            kept.push((memory, source));
            continue;
        };
        let state = load_preference_poisoning_state(conn, memory.id)?;
        if state.acknowledged_pattern_id.as_deref() == Some(pattern_match.pattern_id)
            && state.acknowledged_pattern_version == Some(pattern_match.pattern_set_version)
        {
            kept.push((memory, source));
            continue;
        }
        crate::log::error(
            "context-poisoning",
            &format!(
                "dropping unacknowledged poisoned preference memory id={} pattern={}@v{}",
                memory.id, pattern_match.pattern_id, pattern_match.pattern_set_version
            ),
        );
        record_preference_injection_drop(conn, &memory, &state, pattern_match)?;
        dropped.push(memory);
    }
    Ok((kept, dropped))
}

fn load_preference_poisoning_state(
    conn: &Connection,
    memory_id: i64,
) -> Result<PreferencePoisoningState> {
    Ok(conn
        .query_row(
            "SELECT acknowledged_pattern_id, acknowledged_pattern_version,
                    source_trust_class, source_project
             FROM memories WHERE id = ?1",
            params![memory_id],
            |row| {
                Ok(PreferencePoisoningState {
                    acknowledged_pattern_id: row.get(0)?,
                    acknowledged_pattern_version: row.get(1)?,
                    source_trust_class: row.get(2)?,
                    source_project: row.get(3)?,
                })
            },
        )
        .optional()?
        .unwrap_or_else(|| PreferencePoisoningState {
            acknowledged_pattern_id: None,
            acknowledged_pattern_version: None,
            source_trust_class: "external_content".to_string(),
            source_project: None,
        }))
}

fn record_preference_injection_drop(
    conn: &Connection,
    memory: &Memory,
    state: &PreferencePoisoningState,
    pattern_match: InstructionPatternMatch,
) -> Result<()> {
    conn.execute(
        "INSERT INTO memory_poisoning_injection_drops
         (memory_id, pattern_id, pattern_version, source_trust_class, source_project,
          title, created_at_epoch)
         VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7)",
        params![
            memory.id,
            pattern_match.pattern_id,
            pattern_match.pattern_set_version,
            state.source_trust_class.as_str(),
            state.source_project.as_deref(),
            memory.title.as_str(),
            chrono::Utc::now().timestamp(),
        ],
    )?;
    Ok(())
}

fn normalize_rendered_preference_text(text: &str) -> String {
    text.trim()
        .lines()
        .filter(|line| !line.trim().is_empty())
        .collect::<Vec<_>>()
        .join(" ")
}

fn dedup_with_preference_similarity(prefs: &[Memory], indices: &[usize]) -> Vec<usize> {
    let mut kept: Vec<usize> = Vec::new();
    for &idx in indices {
        let incoming = &prefs[idx];
        let already_represented = kept.iter().any(|&kept_idx| {
            let existing = &prefs[kept_idx];
            classify_preference_texts(existing.id, &existing.text, &incoming.text).is_some_and(
                |matched| {
                    matches!(
                        matched.kind,
                        PreferenceConsolidationKind::SamePreference
                            | PreferenceConsolidationKind::Refinement
                    )
                },
            )
        });
        if !already_represented {
            kept.push(idx);
        }
    }
    kept
}