You're at your desk, deep in a 📝Claude Code session, logging decisions and tasks as you go. You close the laptop and walk to dinner. On the train, you open Claude on your phone. Your AI has no idea what you were working on.
The Challenge
Most knowledge tools are locked to a filesystem. 📝Obsidian vaults live on one machine. 📝CLAUDE.md files travel with one repo. Local MCP servers require a running process on a specific computer. The structural problem isn't feature gaps — it's transport. Stdio-based 📝MCP connections can't leave the device they're running on. Your knowledge is tethered to hardware.
The Approach
📝MythOS runs as a hosted MCP server at mythos.one/api/mcp. Every AI client connects over HTTP — OAuth for Claude.ai and mobile, API keys for Claude Code and 📝Cursor. One library, one identity, every device. When you log a decision in Claude Code, it's in your library. When you open Claude on your phone, that decision is already there. The 📝Session Memory Protocol structures this into a daily workflow without manual file management.
What Changes
Start a deep work session on your laptop in Claude Code. Log tasks, capture decisions, update project context. Close the laptop. Open Claude on your phone during your commute. Ask "what did I work on today?" — and get an answer grounded in your actual session, not a hallucination. Your knowledge library is always current, always accessible, and always identity-aware — regardless of which device or client you're using.
Go Deeper
- 📝How to Connect MythOS to Claude.ai — one-click setup for web and mobile
- 📝How to Set Up MythOS with Claude Code — terminal setup with API key
- 📝MythOS on Claude Mobile — the full cross-platform story with comparison table
- 📝MythOS Session Memory Protocol — structured daily memo workflow
The moment that sold me on this architecture was opening Claude on my phone at a coffee shop and asking about a decision I'd logged from my desk an hour earlier. It was just there. No sync step, no export, no "let me check my notes." The AI knew because my library knew. That's when I understood: the value isn't the tool, it's the transport.