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111 lines
3.7 KiB
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111 lines
3.7 KiB
Plaintext
---
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title: "Zed"
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description: "Connect your Zed editor to CORE's memory system via MCP"
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---
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### Prerequisites
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- Zed editor (latest version recommended)
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- CORE account (sign up at [core.heysol.ai](https://core.heysol.ai))
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### Step 1: Add CORE MCP Server
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1. **Open Agent Panel Settings**:
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- Press `Cmd+Shift+I` or `Cmd+L` (macOS) or `Ctrl+Shift+I` (Linux/Windows) to open Agent Panel
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- Click the **Settings** icon in the Agent Panel Or use Command Palette: `agent: open settings`
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2. **Add Custom MCP Server**:
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- In the Agent Panel Settings, click **"Add Custom Server"** button
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- A configuration modal will appear
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3. **Configure CORE MCP Server**:
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Enter below code in configuraiton file and click on `Add server` button
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```json
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{
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/// The name of your MCP server
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"core-memory": {
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"command": "npx",
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"args": ["-y", "mcp-remote", "https://core.heysol.ai/api/v1/mcp?source=Zed"]
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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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- After adding the CORE MCP server Zed will prompt you to open a website for authentication.
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- When the authentication window opens, Grant Zed permission to access your CORE memory
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### Step 3: Verify Connection
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- Once authenticated CORE Memory will show in the MCP server connected
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### Step 4: Enable Automatic Memory Search and Ingest in Zed (Recommended)
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To make Zed automatically use your CORE memory in conversations:
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1. **Open the Rules Library:**
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- Open the Agent Panel
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- Click the Agent menu (`...`) in the top right corner
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- Select `Rules...` from the dropdown
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2. Use `Cmd + N` to create new rule and add below instruction:
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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 Zed, 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 Zed, your AI assistant 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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