gosidian
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gosidiansearch my vault for meeting notes from last week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
gosidian
Markdown notes your AI agents can read, write, and reason over — via MCP.
A self-contained markdown vault with a built-in MCP server. Humans
edit through a web UI, agents talk to it over MCP, everything lives
in plain .md files that Obsidian (and every other markdown tool)
reads natively.

Try it in your browser
Launch a free, throwaway gosidian in
GitHub Codespaces — no install,
running on your own Codespaces quota. It builds from source, seeds a small
demo vault, and opens the web UI. Log in with demo /
gosidian-demo.
Related MCP server: Markdown Memory Context MCP Server
Quick start
docker run -d --name gosidian \
-p 8080:8080 \
-v "$(pwd)/vault:/vault" \
ghcr.io/daniele-chiappa/gosidian:latest
# open http://localhost:8080, create admin, copy the MCP token from /admin/tokens
claude mcp add gosidian http://localhost:8080/mcp \
--transport http --header "Authorization: Bearer $TOKEN"Three commands: Docker up → token created from the web UI → agent
wired. Your .md vault is persisted under ./vault/; stop the
container and the files are still there.
Other installation paths (source, custom compose, bare-metal): docs/getting-started.md.
What is gosidian
A markdown vault. Notes are
.mdfiles on disk. Open the same folder in Obsidian, VS Code,vim, or any editor you already use. Zero lock-in: delete.gosidian/and you have a pure Obsidian vault.An MCP server. 57 typed tools let agents bootstrap a session, ingest files, search, read, write, link, handoff, self-check, audit. Bearer-token authentication with per-project scoping.
A web UI. A Vue 3 single-page app served from the same binary (built with Vite, embedded via
go:embed). Notes, graph, search and config forms open as windows in a tiling "plancia" workspace — full-text search, backlinks, graph view, editor with live preview, audit trail, admin pages for tokens and users.
All three views hit the same files on disk. The SQLite FTS5 index is a cache — drop it and it rebuilds.
Who it's for
AI engineers wiring agents that need persistent structured memory: note-taking, plans, skills, ADRs, handoffs, audit.
Obsidian users who want a programmable layer on top of a vault they already trust.
Teams with shared vault + per-project scoped tokens per agent.
Why gosidian instead of X
vs RAG / vector search: gosidian retrieves by identity (path, tag, frontmatter, backlinks) — more predictable than similarity search for an agent's working memory. Semantic search is deliberately deferred: see ADR-007 rationale.
vs Obsidian Sync: Sync mirrors a vault between human devices. gosidian adds a typed automation surface (MCP) to the same vault. Not competitive — complementary.
vs Notion / Roam: hosted or proprietary formats; migration is a project. gosidian's vault is already
.mdfiles you can take anywhere.
FAQ covers the long form.
Feature highlights
Single binary, ≤50 MB, Alpine-based Docker image
Web UI: a Vue 3 SPA (Vite, Pinia, Tailwind, CodeMirror, Cytoscape), embedded in the binary — editor + live preview, sidebar, search, graph view, attachments, audit log, admin pages
Plancia tiling window manager (niri-style): notes, graph, search and config forms open as resizable, side-by-side windows in a horizontally-scrollable workspace, restorable from the URL
MCP server over Streamable HTTP (legacy HTTP+SSE kept) with 57 typed tools
Bearer tokens with scopes (
read/write) and per-project restriction — including multi-project tokens for orchestrators; cascade-revoke on user disableAgent orchestration bus: handoff notes with an atomic claim/complete lifecycle, server-stamped identity, and a
memory_wait_changeslong-poll change feed — a minimal multi-agent task queue where everything stays plain markdownMulti-user web login with role-based access (owner / member / guest), per-project public/private visibility, and invite-only signup (24h TTL)
Optional TOTP two-factor (global mode + per-user override) and LDAP / Active Directory login with guest auto-provisioning
Optional git sync (debounced commits, push with token auth)
SQLite FTS5 full-text search + ETag optimistic locking
First-class
.htmlnotes, rendered in a sandboxed iframe (off by default, opt-in per project)Graph analytics over the wikilink graph:
memory_hubs(most-linked notes) andmemory_path(shortest path between two notes)Opt-in self-improve loop: agents record usage-friction insights per token, off by default
Print / Save-as-PDF for any markdown note straight from the web UI
Internationalization (IT + EN complete; ES / FR / DE scaffolding)
Light & dark theme presets (Catppuccin, Tokyo Night, Solarized) + custom palette
Opinionated Karpathy-Wiki-Stack project layout with one-call scaffolding
Optional global projects for skills, agents & scaffold templates shared across projects (opt-in per project, local-overrides-global)
Documentation
Area | Start here |
Install + configure | |
MCP integration | Overview, Tool catalogue, Authentication, Client setup, Agent patterns |
Web UI | |
Vault | Format, Conventions, Multi-project, Global projects, Obsidian compatibility |
Internals | |
Common questions |
Full index: docs/README.md.
Contributing
Contributions welcome. See CONTRIBUTING.md for the workflow, test expectations, and translation guidelines.
Security
Security issues are reported privately. See SECURITY.md for the disclosure process.
License
Released under the MIT License.
See also
PROJECT-STORY.md — project genesis, design philosophy, and a comparison with Obsidian / Logseq / RAG-based knowledge stacks.
CHANGELOG.md — release history.
This server cannot be deployed
Maintenance
Related MCP Connectors
Agent-native notes, tasks, dev-docs, vaults, sync & handoffs. MCP + OpenAPI dual surface.
Search and reason over your Obsidian-style Markdown vault, right from ChatGPT.
Personal context for every AI: search, read, and write back to your private Markdown library.
Search, read, and safely update Markdown notes in your connected Phasoric knowledge vaults.
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