@SawyerHan-AI
Basic information
A living second brain that connects everything you think with — your AI agents, your notes, and beyond.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"tidemind": {
"command": "node",
"args": [
"/path/to/tidemind/dist/index.js"
],
"env": {
"EB_AGENT_ID": "claude-code-main"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Tidemind is a living second brain that connects AI agents, notes, and other tools into a single knowledge graph. It provides a memory layer spanning all your tools via the MCP protocol, building a profile from all your data and delivering it to AI at the start of every conversation.
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.
Tidemind is not a note-taking app—it is a memory layer that sits between your tools. It ingests notes from Obsidian, Logseq, and Apple Notes, plus conversations from AI tools, and weaves them into a single living knowledge graph. You keep using whatever tools you prefer; Tidemind connects them behind the scenes.
Your notes are only one slice of your thinking. Tidemind captures all slices—AI conversations, decisions made in passing, preferences expressed across tools—and builds connections you wouldn’t make manually. It delivers this context to your AI automatically, so every conversation starts with full awareness of who you are.
All data lives in a single SQLite file on your machine, exportable to Markdown anytime. No cloud, no vendor lock-in. You can go fully local with Ollama for privacy, use cloud models for quality, or mix both.
Node.js >= 18 is the only hard requirement. Optional: an LLM provider (Anthropic, Vertex AI, or Gemini) for advanced features, and an embedding provider (Ollama, Vertex AI, or Gemini) for semantic search.
Three tools: `brain_prepare` (load memory context at conversation start), `brain_recall` (navigate and retrieve memories, optionally following links), and `brain_digest` (store new information, decomposing
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