Tidemind

by SawyerHan-AI

8 stars
391 downloads
Not rated
GitHub Website

About

Open-source AI memory layer — a living knowledge graph across all your AI tools and notes. Local-first, SQLite-backed, MCP-native.

Details

Author
SawyerHan-AI
GitHub stars
8
Downloads
391
Categories
Other, Knowledge Base, Productivity, AI

- All memory in a single knowledge graph.
- Profile built from all data delivered to AI at conversation start.
- Graph-based recall that follows links between memories.
- Background metabolism that reinforces, crystallizes, and forgets memories.
- Local SQLite storage, exportable to Markdown anytime.
- Integrates with multiple AI tools and note systems.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Tidemind
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Download the desktop app or build from source (Node.js >= 18 required). Connect AI tools via MCP configuration (one-click in Settings or manual); import notes from Logseq, Obsidian, or Apple Notes. The MCP server exposes three tools: brain_prepare, brain_recall, and brain_digest.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "tidemind": {
            "tidemind": {
                "command": "node",
                "args": [
                    "/path/to/tidemind/dist/index.js"
                ],
                "env": {
                    "EB_AGENT_ID": "claude-code-main"
                }
            }
        }
    }
}

McpServers

{
    "tidemind": {
        "command": "node",
        "args": [
            "/path/to/tidemind/dist/index.js"
        ],
        "env": {
            "EB_AGENT_ID": "claude-code-main"
        }
    }
}

Why TideMind

Your memory is scattered across a dozen tools, and none of them talk to each other.

Claude remembers you like concise code, but Cursor has no idea. You spent a week organizing design thinking in your notes, but the next time you discuss it with an AI, it knows nothing. Every tool quietly accumulates its own understanding of you, yet nothing connects them.

The deeper problem: existing AI memory is just listing and storing facts. It won't link memories together, won't discover commonalities across your ideas that you haven't noticed yourself, and certainly won't build a complete profile of who you are. And as memories pile up, the data grows increasingly redundant and harder to retrieve.

TideMind is a memory layer that spans all your tools — a living knowledge graph that connects your AI, your notes, and your thinking.

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