A method for building a "personal AI OS" that uses Obsidian's Markdown notes as a persistent "brain" and lets users swap between multiple AI agents such as Claude Code, Codex and DeepSeek without breaking their workflow is drawing attention among developers.
July 2026 · Personal AI OS
Turn Your Notes Into One Persistent AI "Brain"
A single Obsidian vault becomes a shared, model-agnostic hard drive—letting Claude Code, Codex and DeepSeek read and write to the same knowledge base and swap in and out without losing context.
The Problem
"Goldfish memory"
Traditional AI chats reset context every session. Knowledge evaporates between conversations.
The Fix
Vault as persistent disk
Mount a local Markdown vault onto every agent. Context and knowledge survive even when you switch models.
The layered architecture
Built from the vault up — chat apps are no longer the foundation.
Tools layer
CLI agents · terminal · MCP execution
▲
Maps & Manuals
me.md · Vault Map · Skill Map — injects your context
▲
Vault (Ideaverse)
Local Markdown · bidirectional links · model-agnostic base
Who does what
Obsidian Vault
The persistent knowledge base every model shares.
Agent Client
Plugin that wires CLI agents into Obsidian via ACP.
Claude Code / Codex
Capable agent CLIs — powerful but costlier to run.
DeepSeek
Anthropic-compatible API — a low-cost alternative backend.
The compounding loop
Write to vault
→
Any model reads context
→
Output back into vault
Strengthen the vault, not the model. Knowledge compounds and you stay resilient to model changes.
Strengths
Context persists across model switches
Cheap Claude Code-style runs via DeepSeek
Compounding knowledge, briefings, task tracking
Freedom from chat-app dependence
Limitations
A messy vault yields weak results
Cumbersome CLI + WSL + manual setup
Not autonomous — needs human structuring
Scarce benchmarks; felt-sense evaluation only
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