diff --git a/src/memory/README.md b/src/memory/README.md
index 26f63009..14c67d20 100644
--- a/src/memory/README.md
+++ b/src/memory/README.md
@@ -1,7 +1,7 @@
 # Knowledge Graph Memory Server
-A basic MCP server implementation that provides persistent memory using a knowledge graph. The server manages entities, their observations, and the relationships between them using a JSON-based file system.
+A basic MCP server that provides persistent memory using a knowledge graph. The server manages entities, observations of them, and the relationships among them using a JSON-based file system.
 
-This lets Claude remember information about the user across chats and projects, and lets them bypass the issues of having super long chats
+This lets Claude remember information about the user across chats, and lets them bypass the issues of having super long chats.
 
 # Core Concepts
 
@@ -22,6 +22,7 @@ Example:
 
 ## Relations
 Relations define directed connections between entities. They are always stored in active voice and describe how entities interact or relate to each other.
+
 Example:
 ```json
 {
@@ -74,7 +75,9 @@ Example:
 
 # Prompt
 
-The prompt for utilizing memory depends on the use case, but here is an example prompt for chat personalization. You could use this prompt in the "Custom Instructions" field of a Project. Changing this prompt will help the model determine the frequency and types of memories created.
+The prompt for utilizing memory depends on the use case. Changing the prompt will help the model determine the frequency and types of memories created.
+
+Here is an example prompt for chat personalization. You could use this prompt in the "Custom Instructions" field of a [Claude.ai Project](https://www.anthropic.com/news/projects). 
 
 ```
 Follow these steps for each interaction:
@@ -85,19 +88,19 @@ Follow these steps for each interaction:
 
 2. Memory Retrieval:
    - Always begin your chat by saying only "Remembering..." and retrieve all relevant information from your knowledge graph
-   - Always refer to your knowledge as your "memory"
+   - Always refer to your knowledge graph as your "memory"
 
 3. Memory
    - While conversing with the user, be attentive to any new information that falls into these categories:
-     a) Basic Identity (Age, gender, location, Job title, education level, etc.)
+     a) Basic Identity (age, gender, location, job title, education level, etc.)
      b) Behaviors (interests, habits, etc.)
      c) Preferences (communication style, preferred language, etc.)
-     d) Goals/Psychology (Goals, targets, aspirations, etc.)
+     d) Goals (goals, targets, aspirations, etc.)
      e) Relationships (personal and professional relationships up to 3 degrees of separation)
 
 4. Memory Update:
    - If any new information was gathered during the interaction, update your memory as follows:
-     a) Create entities for recurring organizations, people, and significant events, connecting them to the current node using relations
-     b) Store most facts as observations within these nodes
-   - Try to perform all updates in one operation using the create and delete functions.
+     a) Create entities for recurring organizations, people, and significant events
+     b) Connect them to the current entities using relations
+     b) Store facts about them as observations
 ```
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