Updated docs for agent_id and run_id (#3294)

docs/open-source/graph_memory/overview.mdx

@@ -296,7 +296,7 @@ The Mem0's graph supports the following operations:
 ### Add Memories
 
 <Note>
-Mem0 with Graph Memory supports both "user_id" and "agent_id" parameters. You can use either or both to organize your memories. Use "userId" and "agentId" in NodeSDK.
+Mem0 with Graph Memory supports "user_id", "agent_id", and "run_id" parameters. You can use any combination of these to organize your memories. Use "userId", "agentId", and "runId" in NodeSDK.
 </Note>
 
 <CodeGroup>
@@ -306,6 +306,9 @@ m.add("I like pizza", user_id="alice")
 
 # Using both user_id and agent_id
 m.add("I like pizza", user_id="alice", agent_id="food-assistant")
+
+# Using all three parameters for maximum organization
+m.add("I like pizza", user_id="alice", agent_id="food-assistant", run_id="session-123")
 ```
 
 ```typescript TypeScript
@@ -331,6 +334,12 @@ m.get_all(user_id="alice")
 
 # Get all memories for a specific agent belonging to a user
 m.get_all(user_id="alice", agent_id="food-assistant")
+
+# Get all memories for a specific run/session
+m.get_all(user_id="alice", run_id="session-123")
+
+# Get all memories for a specific agent and run combination
+m.get_all(user_id="alice", agent_id="food-assistant", run_id="session-123")
 ```
 
 ```typescript TypeScript
@@ -375,6 +384,12 @@ m.search("tell me my name.", user_id="alice")
 
 # Search memories for a specific agent belonging to a user
 m.search("tell me my name.", user_id="alice", agent_id="food-assistant")
+
+# Search memories for a specific run/session
+m.search("tell me my name.", user_id="alice", run_id="session-123")
+
+# Search memories for a specific agent and run combination
+m.search("tell me my name.", user_id="alice", agent_id="food-assistant", run_id="session-123")
 ```
 
 ```typescript TypeScript
@@ -611,12 +626,13 @@ memory.search("Who is spiderman?", { userId: "alice123" });
 ## Using Multiple Agents with Graph Memory
 
 
-When working with multiple agents, you can use the "agent_id" parameter to organize memories by both user and agent. This allows you to:
-
+When working with multiple agents and sessions, you can use the "agent_id" and "run_id" parameters to organize memories by user, agent, and run context. This allows you to:
 
 1. Create agent-specific knowledge graphs
 2. Share common knowledge between agents
 3. Isolate sensitive or specialized information to specific agents
+4. Track conversation sessions and runs separately
+5. Maintain context across different execution contexts
 
 ### Example: Multi-Agent Setup
 
@@ -627,10 +643,17 @@ m.add("I prefer Italian cuisine", user_id="bob", agent_id="food-assistant")
 m.add("I'm allergic to peanuts", user_id="bob", agent_id="health-assistant")
 m.add("I live in Seattle", user_id="bob")  # Shared across all agents
 
+# Add memories for specific runs/sessions
+m.add("Current session: discussing dinner plans", user_id="bob", agent_id="food-assistant", run_id="dinner-session-001")
+m.add("Previous session: allergy consultation", user_id="bob", agent_id="health-assistant", run_id="health-session-001")
+
 # Search within specific agent context
 food_preferences = m.search("What food do I like?", user_id="bob", agent_id="food-assistant")
 health_info = m.search("What are my allergies?", user_id="bob", agent_id="health-assistant")
 location = m.search("Where do I live?", user_id="bob")  # Searches across all agents
+
+# Search within specific run context
+current_session = m.search("What are we discussing?", user_id="bob", run_id="dinner-session-001")
 ```
 
 ```typescript TypeScript