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--- a/README.md
+++ b/README.md
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-
-
-
-
-## 🧠 C.O.R.E.
-
-**Contextual Observation & Recall Engine**
-
-C.O.R.E is a portable memory graph built from your llm interactions and personal data, making all your context and workflow history accessible to any AI tool, just like a digital brain. This eliminates the need for repeated context sharing . The aim is to provide:
-
-- **Unified, Portable Memory**: Add and recall context seamlessly, and connect your memory across apps like Claude, Cursor, Windsurf and more.
-- **Relational, Not just Flat Facts**: CORE organizes your knowledge, storing both facts and relationships for a deeper richer memory like a real brain.
-- **User Owned**: You decide what to keep, update or delete and share your memory across the tool you want and be freed from vendor lock-in.
-
-## 🎥 Demo Video
-
-[Check C.O.R.E Demo](https://youtu.be/iANZ32dnK60)
-
-
-
-## 🧩 Key Features
-
-- **Memory Graph**: Visualise how your facts and preferences link together
-- **Chat with Memory**: Ask questions about memory for instant insights and understanding
-- **Plug n Play**: Instantly use CORE memory in apps like Cursor, Claude
-
-## ☁️ C.O.R.E Cloud Setup
-
-1. Sign up to [Core Cloud](https://core.heysol.ai) and start building your memory graph.
-2. Add your text that you want to save in memory. Once clicking on `+ Add` button your memory graph will be generated.
-3. [Connect Core Memory MCP with Cursor](#connecting-core-mcp-with-cursor)
-
-## 💻 C.O.R.E Local Setup
-
-#### Prerequisites
-
-1. Docker
-2. OpenAI API Key
-
-
-> **Note:** We are actively working on improving support for Llama models. At the moment, C.O.R.E does not provide optimal results with Llama-based models, but we are making progress to ensure better compatibility and output in the near future.
->
-#### Run C.O.R.E locally
-
-1. **Copy Environment Variables**
-
- Copy the example environment file to `.env`:
-
- ```bash
- cp .env.example .env
- ```
-
-2. **Start the Application**
-
- Use Docker Compose to start all required services:
-
- ```bash
- docker-compose up
- ```
-
-3. **Access the App**
-
- Once the containers are running, open your browser and go to [http://localhost:3000](http://localhost:3000).
-
-4. **Create Account with Magic Link**
-
- - To Create an account, click on `Continue with email` button
-
- 
-
- - Enter your email and click on `Send a Magic Link` button
-
- 
-
- - `Copy the magic link from terminal logs` and open it in your browser
-
- 
-
-
-5. **Create Your Private Space & Add Data**
-
- - In the dashboard, go to the top right section -> Type a message, e.g., `I love playing badminton`, and click `+Add`.
- - Your memory is queued for processing; you can monitor its status in the `Logs` section.
-
- 
-
- - Once processing is complete, nodes will be added to your private knowledge graph and visible in the dashboard.
- - You can later choose to connect this memory to other tools or keep it private.
-
-6. **Search Your Memory**
-
- - Use the dashboard's search feature to query your ingested data within your private space.
-
-
-## Connecting CORE MCP with Cursor
-
-1. Open the CORE dashboard and navigate to the API section to generate a new API token.
-2. In Cursor, go to: Settings → Tools & Integrations → New MCP Server.
-3. Add the CORE MCP server using the configuration format below. Be sure to replace the API_TOKEN value with the token you generated in step 1.
-
- MCP configuration to add in Cursor
-
- ```json
- {
- "mcpServers": {
- "memory": {
- "command": "npx",
- "args": ["-y", "@redplanethq/core-mcp"],
- "env": {
- "API_TOKEN": "YOUR_API_TOKEN_HERE",
- "API_BASE_URL": "https://core.heysol.ai",
- "SOURCE": "cursor"
- }
- }
- }
- }
- ```
-
-4. Go to Settings-> User rules -> New Rule -> and add the below rule to ensure all your chat interactions are being stored in CORE memory
-
-```
-After every interaction, update the memory with the user's query and the assistant's
-response to core-memory mcp. sessionId should be the uuid of the conversation
-```
-
-## Documentation
-
-Explore our documentation to get the most out of CORE
-- [Basic Concepts](https://docs.heysol.ai/core/overview)
-- [API Reference](https://docs.heysol.ai/core/local-setup)
-- [Connect Core Memory MCP with Cursor](#connecting-core-mcp-with-cursor)
-
-
-## 🧑💻 Support
-Have questions or feedback? We're here to help:
-- Discord: [Join core-support channel](https://discord.gg/YGUZcvDjUa)
-- Documentation: [docs.heysol.ai/core](https://docs.heysol.ai/core/overview)
-- Email: manik@poozle.dev
-
-## Usage Guidelines
-
-**Store:**
-
-- Conversation history
-- User preferences
-- Task context
-- Reference materials
-
-**Don't Store:**
-
-- Sensitive data (PII)
-- Credentials
-- System logs
-- Temporary data
-
-## 👥 Contributors
-
-
- 
-
+
+
+
+
+## 🧠 C.O.R.E.
+
+**Contextual Observation & Recall Engine**
+
+C.O.R.E is a portable memory graph built from your llm interactions and personal data, making all your context and workflow history accessible to any AI tool, just like a digital brain. This eliminates the need for repeated context sharing . The aim is to provide:
+
+- **Unified, Portable Memory**: Add and recall context seamlessly, and connect your memory across apps like Claude, Cursor, Windsurf and more.
+- **Relational, Not just Flat Facts**: CORE organizes your knowledge, storing both facts and relationships for a deeper richer memory like a real brain.
+- **User Owned**: You decide what to keep, update or delete and share your memory across the tool you want and be freed from vendor lock-in.
+
+## 🎥 Demo Video
+
+[Check C.O.R.E Demo](https://youtu.be/iANZ32dnK60)
+
+
+
+## 🧩 Key Features
+
+- **Memory Graph**: Visualise how your facts and preferences link together
+- **Chat with Memory**: Ask questions about memory for instant insights and understanding
+- **Plug n Play**: Instantly use CORE memory in apps like Cursor, Claude
+
+## ☁️ C.O.R.E Cloud Setup
+
+1. Sign up to [Core Cloud](https://core.heysol.ai) and start building your memory graph.
+2. Add your text that you want to save in memory. Once clicking on `+ Add` button your memory graph will be generated.
+3. [Connect Core Memory MCP with Cursor](#connecting-core-mcp-with-cursor)
+
+## 💻 C.O.R.E Local Setup
+
+#### Prerequisites
+
+1. Docker
+2. OpenAI API Key
+
+
+> **Note:** We are actively working on improving support for Llama models. At the moment, C.O.R.E does not provide optimal results with Llama-based models, but we are making progress to ensure better compatibility and output in the near future.
+>
+#### Run C.O.R.E locally
+
+1. **Copy Environment Variables**
+
+ Copy the example environment file to `.env`:
+
+ ```bash
+ cp .env.example .env
+ ```
+
+2. **Start the Application**
+
+ Use Docker Compose to start all required services:
+
+ ```bash
+ docker-compose up
+ ```
+
+3. **Access the App**
+
+ Once the containers are running, open your browser and go to [http://localhost:3000](http://localhost:3000).
+
+4. **Create Account with Magic Link**
+
+ - To Create an account, click on `Continue with email` button
+
+
+
+ - Enter your email and click on `Send a Magic Link` button
+
+
+
+ - `Copy the magic link from terminal logs` and open it in your browser
+
+
+
+
+5. **Create Your Private Space & Add Data**
+
+ - In the dashboard, go to the top right section -> Type a message, e.g., `I love playing badminton`, and click `+Add`.
+ - Your memory is queued for processing; you can monitor its status in the `Logs` section.
+
+
+
+ - Once processing is complete, nodes will be added to your private knowledge graph and visible in the dashboard.
+ - You can later choose to connect this memory to other tools or keep it private.
+
+6. **Search Your Memory**
+
+ - Use the dashboard's search feature to query your ingested data within your private space.
+
+
+## Connecting CORE MCP with Cursor
+
+1. Open the CORE dashboard and navigate to the API section to generate a new API token.
+2. In Cursor, go to: Settings → Tools & Integrations → New MCP Server.
+3. Add the CORE MCP server using the configuration format below. Be sure to replace the API_TOKEN value with the token you generated in step 1.
+
+ MCP configuration to add in Cursor
+
+ ```json
+ {
+ "mcpServers": {
+ "memory": {
+ "command": "npx",
+ "args": ["-y", "@redplanethq/core-mcp"],
+ "env": {
+ "API_TOKEN": "YOUR_API_TOKEN_HERE",
+ "API_BASE_URL": "https://core.heysol.ai",
+ "SOURCE": "cursor"
+ }
+ }
+ }
+ }
+ ```
+
+4. Go to Settings-> User rules -> New Rule -> and add the below rule to ensure all your chat interactions are being stored in CORE memory
+
+```
+After every interaction, update the memory with the user's query and the assistant's
+response to core-memory mcp. sessionId should be the uuid of the conversation
+```
+
+## Documentation
+
+Explore our documentation to get the most out of CORE
+- [Basic Concepts](https://docs.heysol.ai/core/overview)
+- [API Reference](https://docs.heysol.ai/core/local-setup)
+- [Connect Core Memory MCP with Cursor](#connecting-core-mcp-with-cursor)
+
+
+## 🧑💻 Support
+Have questions or feedback? We're here to help:
+- Discord: [Join core-support channel](https://discord.gg/YGUZcvDjUa)
+- Documentation: [docs.heysol.ai/core](https://docs.heysol.ai/core/overview)
+- Email: manik@poozle.dev
+
+## Usage Guidelines
+
+**Store:**
+
+- Conversation history
+- User preferences
+- Task context
+- Reference materials
+
+**Don't Store:**
+
+- Sensitive data (PII)
+- Credentials
+- System logs
+- Temporary data
+
+## 👥 Contributors
+
+
+
+
+