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