Core Zed

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Prerequisites

  • Zed editor (latest version recommended)
  • CORE account (sign up at core.heysol.ai)

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Step 1: Add CORE MCP Server

  1. Open Agent Panel Settings:
    • Press Cmd+Shift+I or Cmd+L (macOS) or Ctrl+Shift+I (Linux/Windows) to open Agent Panel
    • Click the Settings icon in the Agent Panel Or use Command Palette: agent: open settings MCP settings Zed
  2. Add Custom MCP Server:
    • In the Agent Panel Settings, click “Add Custom Server” button
    • A configuration modal will appear
  3. Configure CORE MCP Server:
Enter below code in configuraiton file and click on Add server button 
{
  /// The name of your MCP server
  "core-memory": {
    "command": "npx",
    "args": ["-y", "mcp-remote", "https://core.heysol.ai/api/v1/mcp?source=Zed"]
  }
}

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Step 2: Authenticate with CORE

  • After adding the CORE MCP server Zed will prompt you to open a website for authentication.
  • When the authentication window opens, Grant Zed permission to access your CORE memory

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Step 3: Verify Connection

  • Once authenticated CORE Memory will show in the MCP server connected Core Cursor
To make Zed automatically use your CORE memory in conversations:
  1. Open the Rules Library:
    • Open the Agent Panel
    • Click the Agent menu (...) in the top right corner
    • Select Rules... from the dropdown
  2. Use Cmd + N to create new rule and add below instruction: 
---
alwaysApply: true
---
I am Zed, 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.

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What’s Next?

With CORE connected to Zed, your AI assistant 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

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