refactor: rename tools to LLM-friendly names

mem0_profile → mem0_list_all (clearer intent)
mem0_conclude → mem0_save_memory (self-explanatory)

__init__.py

@@ -75,7 +75,7 @@ def _load_config() -> dict:
 # ---------------------------------------------------------------------------
 
 PROFILE_SCHEMA = {
-    "name": "mem0_profile",
+    "name": "mem0_list_all",
     "description": (
         "Retrieve all stored memories about the user — preferences, facts, "
         "project context. Fast, no reranking. Use at conversation start."
@@ -107,7 +107,7 @@ SEARCH_SCHEMA = {
 }
 
 CONCLUDE_SCHEMA = {
-    "name": "mem0_conclude",
+    "name": "mem0_save_memory",
     "description": (
         "Store a durable fact about the user. Stored verbatim (no LLM extraction). "
         "Use for explicit preferences, corrections, or decisions."
@@ -310,8 +310,8 @@ class Mem0LocalMemoryProvider(MemoryProvider):
         return (
             "# Mem0 Memory (Local)\n"
             f"Active. User: {self._user_id}.\n"
-            "Use mem0_search to find memories, mem0_conclude to store facts, "
-            "mem0_profile for a full overview.\n"
+            "Use mem0_search to find memories, mem0_save_memory to store facts, "
+            "mem0_list_all for a full overview.\n"
             "\n"
             "## Memory Context Format\n"
             "Retrieved memories are injected via the <mem0_context> XML tag. "
@@ -465,7 +465,7 @@ class Mem0LocalMemoryProvider(MemoryProvider):
         except Exception as e:
             return tool_error(str(e))
 
-        if tool_name == "mem0_profile":
+        if tool_name == "mem0_list_all":
             try:
                 memories = client.get_all(user_id=self._user_id)
                 self._record_success()
@@ -501,7 +501,7 @@ class Mem0LocalMemoryProvider(MemoryProvider):
                 self._record_failure()
                 return tool_error(f"Search failed: {e}")
 
-        elif tool_name == "mem0_conclude":
+        elif tool_name == "mem0_save_memory":
             conclusion = args.get("conclusion", "")
             if not conclusion:
                 return tool_error("Missing required parameter: conclusion")

plugin.yaml

@@ -17,9 +17,9 @@ requires_env:
     description: "Min similarity score % to include memory 0-100 (default: 60)"
 
 provides_tools:
-  - mem0_profile
+  - mem0_list_all
   - mem0_search
-  - mem0_conclude
+  - mem0_save_memory
   - mem0_delete
 
 pip_dependencies: