__init__.py

@@ -6,6 +6,8 @@ Config via environment variables:
   MEM0_BASE_URL                — Local Mem0 server URL (required, e.g., http://localhost:8000)
   MEM0_USER_ID                 — User identifier for memory scoping (default: hermes-user)
   MEM0_AGENT_ID                — Agent identifier (default: hermes)
+  MEM0_PREFETCH_LIMIT          — Max memories to prefetch (default: 3)
+  MEM0_PREFETCH_SCORE_THRESHOLD — Min similarity score % to include memory (default: 60)
 
 Or via $HERMES_HOME/mem0-local.json.
 """
@@ -46,8 +48,10 @@ def _load_config() -> dict:
         "agent_id": os.environ.get("MEM0_AGENT_ID", "hermes"),
         "rerank": True,
         "timeout": 10.0,
-        "prefetch_limit": 3,
-        "prefetch_score_threshold": 60,
+        "prefetch_limit": int(os.environ.get("MEM0_PREFETCH_LIMIT", "3")),
+        "prefetch_score_threshold": int(
+            os.environ.get("MEM0_PREFETCH_SCORE_THRESHOLD", "60")
+        ),
     }
 
     config_path = get_hermes_home() / "mem0-local.json"

plugin.yaml

@@ -10,6 +10,10 @@ requires_env:
     url: "https://github.com/mem0ai/mem0"
   - name: MEM0_USER_ID
     description: "User identifier for memory scoping (default: hermes-user)"
+  - name: MEM0_PREFETCH_LIMIT
+    description: "Max memories to prefetch before LLM call (default: 3)"
+  - name: MEM0_PREFETCH_SCORE_THRESHOLD
+    description: "Min similarity score % to include memory 0-100 (default: 60)"
 
 provides_tools:
   - mem0_profile