personal memory agent
revert entity extraction to segment schedule
Cross-workstream review identified that facets agent (priority 90)
reads {segment}/agents/entities.md as input. Moving entities to
activity schedule would break facet classification. Entity redundancy
is instead handled by the change-detection gate which skips all
priority-10 agents during idle/low-change segments.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
+18
-16
+3
-5
muse/entities.md
+3
-5
muse/entities.md
···
4
4
"title": "Entity Extraction",
5
5
"description": "Extracts people, companies, projects, and tools from segment content",
6
6
"color": "#2e7d32",
7
-
"schedule": "activity",
8
-
"activities": ["*"],
7
+
"schedule": "segment",
9
8
"priority": 10,
10
9
"hook": {"post": "entities"},
11
10
"thinking_budget": 4096,
···
13
12
"output": "md",
14
13
"instructions": {
15
14
"sources": {"transcripts": true, "percepts": true, "agents": false},
16
-
"facets": false,
17
-
"activity": true
15
+
"facets": false
18
16
}
19
17
20
18
}
21
19
22
-
$activity_preamble
20
+
$segment_preamble
23
21
24
22
Extract named entities and descriptions from the given segment transcription document.
25
23
+1
-1
tests/baselines/api/agents/agents-day.json
+1
-1
tests/baselines/api/agents/agents-day.json
···
105
105
"description": "Extracts people, companies, projects, and tools from segment content",
106
106
"multi_facet": false,
107
107
"output_format": "md",
108
-
"schedule": "activity",
108
+
"schedule": "segment",
109
109
"source": "system",
110
110
"title": "Entity Extraction",
111
111
"type": "generate"
+10
tests/baselines/api/settings/generators.json
+10
tests/baselines/api/settings/generators.json
···
174
174
},
175
175
{
176
176
"app": null,
177
+
"description": "Extracts people, companies, projects, and tools from segment content",
178
+
"disabled": false,
179
+
"extract": null,
180
+
"has_extraction": false,
181
+
"key": "entities",
182
+
"source": "system",
183
+
"title": "Entity Extraction"
184
+
},
185
+
{
186
+
"app": null,
177
187
"description": "Identifies who said what in each transcript segment. Layers 1-3 (owner, structural, acoustic) run computationally via hook; Layer 4 uses contextual LLM analysis for remaining unmatched sentences.",
178
188
"disabled": false,
179
189
"extract": null,
+1
-1
tests/baselines/api/settings/providers.json
+1
-1
tests/baselines/api/settings/providers.json
+1
-5
tests/baselines/api/stats/stats.json
+1
-5
tests/baselines/api/stats/stats.json
···
138
138
"type": "generate"
139
139
},
140
140
"entities": {
141
-
"activities": [
142
-
"*"
143
-
],
144
141
"color": "#2e7d32",
145
142
"description": "Extracts people, companies, projects, and tools from segment content",
146
143
"hook": {
147
144
"post": "entities"
148
145
},
149
146
"instructions": {
150
-
"activity": true,
151
147
"facets": false,
152
148
"sources": {
153
149
"agents": false,
···
160
156
"output": "md",
161
157
"path": "<PROJECT>/muse/entities.md",
162
158
"priority": 10,
163
-
"schedule": "activity",
159
+
"schedule": "segment",
164
160
"source": "system",
165
161
"thinking_budget": 4096,
166
162
"title": "Entity Extraction",
+2
-4
tests/test_entities_hook.py
+2
-4
tests/test_entities_hook.py
···
45
45
assert "missing output_path" in caplog.text
46
46
47
47
48
-
def test_entities_muse_is_activity_scheduled():
48
+
def test_entities_muse_is_segment_scheduled():
49
49
from think.muse import get_muse_configs
50
50
51
51
segment_prompts = get_muse_configs(schedule="segment")
52
-
activity_prompts = get_muse_configs(schedule="activity")
53
52
54
-
assert "entities" not in segment_prompts
55
-
assert activity_prompts["entities"]["activities"] == ["*"]
53
+
assert "entities" in segment_prompts