core/docs/providers/vscode.mdx
Harshith Mullapudi b0e141c2a2 1. fix: delete api key is not working
2. moved docs into main repo
2025-10-18 22:23:13 +05:30

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---
title: "VS Code (Github Copilot)"
description: "Connect your VS Code editor to CORE's memory system via MCP"
---
### Prerequisites
- VS Code (version 1.95.0 or later) with GitHub Copilot extension
- CORE account (sign up at [core.heysol.ai](https://core.heysol.ai))
- [MCP support enabled](https://code.visualstudio.com/docs/copilot/chat/mcp-servers) in VS Code
### Step 1: Create MCP Configuration
1. **Create or open your MCP configuration file**:
- Look for existing `mcp.json` file or create a new one in your user settings directory
2. **Add CORE MCP server configuration**:
```json
{
"servers": {
"core-memory": {
"url": "https://core.heysol.ai/api/v1/mcp?source=Vscode",
"type": "http"
}
}
}
```
### Step 2: Authenticate with CORE
- Go to Extensions -> MCP Servers -> `core-memory` server
- Click on settings icon in core-memory server and start server
![Core vscode](/images/core-vscode-start-server.png)
- Allow domain core.heysol.ai to authenticate this MCP server
![Core vscode](/images/allow-domain.png)
- Select `MCP` when this is prompted on your screen
![Core vscode](/images/authenticate-vscode.png)
- Once authenticated, CORE Memory will show as a running MCP server
### Enable Automatic Memory Integration (Recommended)
Configure Copilot to automatically search and store memories for seamless project continuity
Create a new rules file in your project root:
.github/copilot-instructions.md
```text
---
alwaysApply: true
---
I am Copilot, an AI coding assistant with access to CORE Memory - a persistent knowledge system that maintains project context across sessions.
**MANDATORY MEMORY OPERATIONS:**
1. **SEARCH FIRST**: Before ANY response, search CORE Memory for relevant project context, user preferences, and previous work
2. **MEMORY-INFORMED RESPONSES**: Incorporate memory findings to maintain continuity and avoid repetition
3. **AUTOMATIC STORAGE**: After each interaction, store conversation details, insights, and decisions in CORE Memory
**Memory Search Strategy:**
- Query for: project context, technical decisions, user patterns, progress status, related conversations
- Focus on: current focus areas, recent decisions, next steps, key insights
**Memory Storage Strategy:**
- Include: user intent, context provided, solution approach, technical details, insights gained, follow-up items
**Response Workflow:**
1. Search CORE Memory for relevant context
2. Integrate findings into response planning
3. Provide contextually aware assistance
4. Store interaction details and insights
**Memory Update Triggers:**
- New project context or requirements
- Technical decisions and architectural choices
- User preference discoveries
- Progress milestones and status changes
- Explicit update requests
**Core Principle:** CORE Memory transforms me from a session-based assistant into a persistent development partner. Always search first, respond with context, and store for continuity.
```
## What's Next?
With CORE connected to VS Code, your GitHub Copilot conversations will now:
- **Automatically save** important context to your CORE memory
- **Retrieve relevant** information from previous sessions
- **Maintain continuity** across multiple coding sessions
- **Share context** with other connected development tools
### Need Help?
Join our [Discord community](https://discord.gg/YGUZcvDjUa) and ask questions in the **#core-support** channel
Our team and community members are ready to help you get the most out of CORE's memory capabilities.