diff --git a/src/prompts/scheduler-flow.md b/src/prompts/scheduler-flow.md
index 52c5284..83e67c2 100644
--- a/src/prompts/scheduler-flow.md
+++ b/src/prompts/scheduler-flow.md
@@ -32,10 +32,16 @@ Every agent prompt invoked by the schedulers (daily/weekly) MUST enforce this co
    - Record active unresolved reproducible items in `KNOWN_ISSUES.md`
 4. **Execute memory retrieval before implementation begins**:
    - Run configured memory retrieval workflow before prompt execution (for example via `scheduler.memoryPolicyByCadence.<cadence>.retrieveCommand`)
-   - For current scheduler enforcement, retrieval command MUST emit `MEMORY_RETRIEVED` and/or create the configured artifact (`.scheduler-memory/retrieve-daily.ok` or `.scheduler-memory/retrieve-weekly.ok`)
+   - Retrieval command MUST call real memory services (`src/services/memory/index.js#getRelevantMemories` with `ingestEvents` seeding) and MUST emit deterministic marker `MEMORY_RETRIEVED`.
+   - Retrieval command MUST write cadence-scoped evidence artifacts:
+     - `.scheduler-memory/retrieve-<cadence>.ok`
+     - `.scheduler-memory/retrieve-<cadence>.json` containing operation inputs/outputs (`agentId`, `query`, seeded event count, ingested count, retrieved count).
 5. **Store memory after implementation and before completion publish**:
    - Run configured memory storage workflow after prompt execution (for example via `scheduler.memoryPolicyByCadence.<cadence>.storeCommand`)
-   - For current scheduler enforcement, storage command MUST emit `MEMORY_STORED` and/or create the configured artifact (`.scheduler-memory/store-daily.ok` or `.scheduler-memory/store-weekly.ok`)
+   - Storage command MUST call real memory services (`src/services/memory/index.js#ingestEvents`, which uses ingestor/summarizer pipeline) and MUST emit deterministic marker `MEMORY_STORED`.
+   - Storage command MUST write cadence-scoped evidence artifacts:
+     - `.scheduler-memory/store-<cadence>.ok`
+     - `.scheduler-memory/store-<cadence>.json` containing operation inputs/outputs (`agentId`, input event count, stored count, generated summaries).
 6. **Publish lock completion only after validation passes and before writing success logs**:
    - Run `npm run lock:complete -- --agent <agent-name> --cadence <cadence>` (or equivalent `complete`) successfully
    - If any validation command exits non-zero, do **not** call `lock:complete`; write `_failed.md` with the validation failure reason and stop
@@ -139,12 +145,20 @@ Every agent prompt invoked by the schedulers (daily/weekly) MUST enforce this co
 
    - Memory retrieval evidence must exist for this run (output marker and/or artifact file).
    - Memory storage evidence must exist for this run (output marker and/or artifact file).
-   - Enforced daily commands in `torch-config.json` currently run:
-     - `echo MEMORY_RETRIEVED && mkdir -p .scheduler-memory && : > .scheduler-memory/retrieve-daily.ok`
-     - `echo MEMORY_STORED && mkdir -p .scheduler-memory && : > .scheduler-memory/store-daily.ok`
-   - Enforced weekly commands in `torch-config.json` currently run:
-     - `echo MEMORY_RETRIEVED && mkdir -p .scheduler-memory && : > .scheduler-memory/retrieve-weekly.ok`
-     - `echo MEMORY_STORED && mkdir -p .scheduler-memory && : > .scheduler-memory/store-weekly.ok`
+   - Enforced daily/weekly commands in `torch-config.json` run `node --input-type=module` snippets that call `src/services/memory/index.js` APIs directly:
+     - Retrieval path: `ingestEvents(...)` seed + `getRelevantMemories(...)` retrieval.
+     - Storage path: `ingestEvents(...)` (ingestor + summarizer path).
+   - Input contract for retrieval evidence JSON:
+     - Required keys: `cadence`, `operation: "retrieve"`, `servicePath`, `inputs`, `outputs`, `status: "ok"`.
+     - `inputs` must include `agentId`, `query`, and seeded `events` count.
+     - `outputs` must include `ingestedCount` and `retrievedCount`.
+   - Input contract for storage evidence JSON:
+     - Required keys: `cadence`, `operation: "store"`, `servicePath`, `inputs`, `outputs`, `status: "ok"`.
+     - `inputs` must include `agentId` and input `events` count.
+     - `outputs` must include `storedCount` and generated `summaries`.
+   - Failure semantics for required mode:
+     - If retrieval/store command exits non-zero, scheduler writes `_failed.md` and stops.
+     - If command succeeds but markers/artifacts are missing, scheduler treats this as missing memory evidence.
    - Prompt authors MUST keep any command changes aligned with configured markers/artifacts so scheduler evidence checks remain satisfiable.
    - If `scheduler.memoryPolicyByCadence.<cadence>.mode = required`, missing evidence is a hard failure.
    - If mode is `optional`, log warning context and continue.
diff --git a/torch-config.json b/torch-config.json
index c491b72..58dcd0b 100644
--- a/torch-config.json
+++ b/torch-config.json
@@ -25,8 +25,8 @@
     "memoryPolicyByCadence": {
       "daily": {
         "mode": "required",
-        "retrieveCommand": "echo MEMORY_RETRIEVED && mkdir -p .scheduler-memory && : > .scheduler-memory/retrieve-daily.ok",
-        "storeCommand": "echo MEMORY_STORED && mkdir -p .scheduler-memory && : > .scheduler-memory/store-daily.ok",
+        "retrieveCommand": "set -euo pipefail; mkdir -p .scheduler-memory; node --input-type=module -e \"import { ingestEvents, getRelevantMemories } from './src/services/memory/index.js'; import { writeFileSync } from 'node:fs'; const cadence='daily'; const agentId='scheduler-memory-daily'; const query='scheduler daily memory retrieval'; const timestamp=1700000000000; const events=[{ agent_id: agentId, content: 'Memory retrieval seed for ' + cadence, timestamp, tags:['scheduler', cadence], metadata:{ session_id:'scheduler-' + cadence, source:'scheduler-retrieve', importance:0.4 } }]; const ingested=await ingestEvents(events,{ agent_id: agentId }); const retrieved=await getRelevantMemories({ agent_id: agentId, query, k: 5 }); const artifact={ cadence, operation:'retrieve', servicePath:'src/services/memory/index.js#getRelevantMemories', inputs:{ agentId, query, events:events.length }, outputs:{ ingestedCount:ingested.length, retrievedCount:retrieved.length }, status:'ok' }; writeFileSync('.scheduler-memory/retrieve-daily.json', JSON.stringify(artifact, null, 2)); writeFileSync('.scheduler-memory/retrieve-daily.ok', 'MEMORY_RETRIEVED\\n');\"; echo MEMORY_RETRIEVED",
+        "storeCommand": "set -euo pipefail; mkdir -p .scheduler-memory; node --input-type=module -e \"import { ingestEvents } from './src/services/memory/index.js'; import { writeFileSync } from 'node:fs'; const cadence='daily'; const agentId='scheduler-memory-daily'; const baseTs=1700000100000; const events=[{ agent_id: agentId, content: 'Store memory event A for ' + cadence, timestamp: baseTs, tags:['scheduler', cadence, 'store'], metadata:{ session_id:'scheduler-' + cadence + '-store', source:'scheduler-store', importance:0.55 } },{ agent_id: agentId, content: 'Store memory event B for ' + cadence, timestamp: baseTs + 1, tags:['scheduler', cadence, 'store'], metadata:{ session_id:'scheduler-' + cadence + '-store', source:'scheduler-store', importance:0.55 } }]; const stored=await ingestEvents(events,{ agent_id: agentId }); const artifact={ cadence, operation:'store', servicePath:'src/services/memory/index.js#ingestEvents', inputs:{ agentId, events:events.length }, outputs:{ storedCount:stored.length, summaries:stored.map((m)=>m.summary) }, status:'ok' }; writeFileSync('.scheduler-memory/store-daily.json', JSON.stringify(artifact, null, 2)); writeFileSync('.scheduler-memory/store-daily.ok', 'MEMORY_STORED\\n');\"; echo MEMORY_STORED",
         "retrieveSuccessMarkers": [
           "MEMORY_RETRIEVED"
         ],
@@ -34,16 +34,18 @@
           "MEMORY_STORED"
         ],
         "retrieveArtifacts": [
-          ".scheduler-memory/retrieve-daily.ok"
+          ".scheduler-memory/retrieve-daily.ok",
+          ".scheduler-memory/retrieve-daily.json"
         ],
         "storeArtifacts": [
-          ".scheduler-memory/store-daily.ok"
+          ".scheduler-memory/store-daily.ok",
+          ".scheduler-memory/store-daily.json"
         ]
       },
       "weekly": {
         "mode": "required",
-        "retrieveCommand": "echo MEMORY_RETRIEVED && mkdir -p .scheduler-memory && : > .scheduler-memory/retrieve-weekly.ok",
-        "storeCommand": "echo MEMORY_STORED && mkdir -p .scheduler-memory && : > .scheduler-memory/store-weekly.ok",
+        "retrieveCommand": "set -euo pipefail; mkdir -p .scheduler-memory; node --input-type=module -e \"import { ingestEvents, getRelevantMemories } from './src/services/memory/index.js'; import { writeFileSync } from 'node:fs'; const cadence='weekly'; const agentId='scheduler-memory-weekly'; const query='scheduler weekly memory retrieval'; const timestamp=1700000000000; const events=[{ agent_id: agentId, content: 'Memory retrieval seed for ' + cadence, timestamp, tags:['scheduler', cadence], metadata:{ session_id:'scheduler-' + cadence, source:'scheduler-retrieve', importance:0.4 } }]; const ingested=await ingestEvents(events,{ agent_id: agentId }); const retrieved=await getRelevantMemories({ agent_id: agentId, query, k: 5 }); const artifact={ cadence, operation:'retrieve', servicePath:'src/services/memory/index.js#getRelevantMemories', inputs:{ agentId, query, events:events.length }, outputs:{ ingestedCount:ingested.length, retrievedCount:retrieved.length }, status:'ok' }; writeFileSync('.scheduler-memory/retrieve-weekly.json', JSON.stringify(artifact, null, 2)); writeFileSync('.scheduler-memory/retrieve-weekly.ok', 'MEMORY_RETRIEVED\\n');\"; echo MEMORY_RETRIEVED",
+        "storeCommand": "set -euo pipefail; mkdir -p .scheduler-memory; node --input-type=module -e \"import { ingestEvents } from './src/services/memory/index.js'; import { writeFileSync } from 'node:fs'; const cadence='weekly'; const agentId='scheduler-memory-weekly'; const baseTs=1700000100000; const events=[{ agent_id: agentId, content: 'Store memory event A for ' + cadence, timestamp: baseTs, tags:['scheduler', cadence, 'store'], metadata:{ session_id:'scheduler-' + cadence + '-store', source:'scheduler-store', importance:0.55 } },{ agent_id: agentId, content: 'Store memory event B for ' + cadence, timestamp: baseTs + 1, tags:['scheduler', cadence, 'store'], metadata:{ session_id:'scheduler-' + cadence + '-store', source:'scheduler-store', importance:0.55 } }]; const stored=await ingestEvents(events,{ agent_id: agentId }); const artifact={ cadence, operation:'store', servicePath:'src/services/memory/index.js#ingestEvents', inputs:{ agentId, events:events.length }, outputs:{ storedCount:stored.length, summaries:stored.map((m)=>m.summary) }, status:'ok' }; writeFileSync('.scheduler-memory/store-weekly.json', JSON.stringify(artifact, null, 2)); writeFileSync('.scheduler-memory/store-weekly.ok', 'MEMORY_STORED\\n');\"; echo MEMORY_STORED",
         "retrieveSuccessMarkers": [
           "MEMORY_RETRIEVED"
         ],
@@ -51,10 +53,12 @@
           "MEMORY_STORED"
         ],
         "retrieveArtifacts": [
-          ".scheduler-memory/retrieve-weekly.ok"
+          ".scheduler-memory/retrieve-weekly.ok",
+          ".scheduler-memory/retrieve-weekly.json"
         ],
         "storeArtifacts": [
-          ".scheduler-memory/store-weekly.ok"
+          ".scheduler-memory/store-weekly.ok",
+          ".scheduler-memory/store-weekly.json"
         ]
       }
     }