
Atlas Mind
app.anakiorPublished by anakior.appv2.5.1Updated Nov 5, 2026
Self-hosted git-native knowledge base with an MCP endpoint your AI reads, writes and rewinds
The publisher's own server: Red Atlas Api
Overview
Self-hosted, git-backed Markdown knowledge base whose MCP endpoint lets an assistant search, read, write and rewind your notes with attributed history.
- What you can do
- Search, grep, read and list notes, and build a token-budgeted context pack on a topic
- Create, edit, move and delete notes, with diffs returned and protection against overwriting concurrent changes
- Walk the note graph through links, backlinks and tags
- Inspect history: what a note said on a date, diffs, blame, changelog and reverting a version
- Review activity: who changed what, agent runs, undo a run, stale notes and contradictions
- Stage inbox items for you to keep, snooze or bin; also serves named prompts and notes as resources
- When to use it
- Useful when you want an assistant to keep durable memory in plain Markdown files you own, rather than in a vendor's store, and you want to see, attribute and undo what it wrote. Suits individuals or small teams running their own instance who need searchable notes with version history.
- Requirements
- A running Atlas Mind instance you host yourself, reachable over HTTP at its MCP address; the server needs Python 3.11+ and git. Clients sign in over OAuth, or use a token created in Settings or via the atlas token command. No credentials are declared in the manifest.
Installation
In SourceWeft
- Open Atlas Mind in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Follow the launch instructions in the repository.
README
Atlas Mind
[Live demo] [Licence: AGPL v3] [Python 3.11+] [Dependencies: standard library] [Database: none]
It's your mind, not someone else's.
Atlas Mind is the memory you share with your AI. Your notes stay plain files in your own git repository, served by an engine you can read line by line; your assistant reads and writes them over MCP, and every change says who made it, you or the AI, so you can see it, rewind it or undo it.
Create your Atlas → free, no card, no terminal · Live demo → the real viewer, in your browser · What is Atlas Mind?
Why Atlas
- Your files. Markdown with no syntax of its own, next to the PDFs, Word documents, HTML decks, images and JSON you already have, read as they are. All of it in a git repository that is yours: leave with a zip, open it anywhere.
- Your AI's memory. One address to give your assistant (Claude, ChatGPT, Claude Code, any MCP client): it signs you in over OAuth, asks for what it may do, then searches, reads, writes and files into your mind in every conversation.
- A memory you can trust. Every change is attributed, a person's or an AI's. See what an agent wrote and undo it in one click, ask what the mind said on a topic six months ago, find the notes nobody has looked at in a year and the ones that contradict each other.
- Yours from end to end. One Python program on the standard library: no database, no build step to run, no telemetry. Your files stay on the server you choose and Atlas hands them to no AI service on its own: an assistant you connect receives the notes it reads, and what happens to them then is up to its service and your settings there.
It is not a multi-tenant SaaS or a real-time collaborative editor: one focused mind per instance, fully yours, that can share slices with other Atlases.
Get started
Without a terminal, on alwaysdata's free plan (no card, hosted in France): seven steps, a few forms. From then on, Atlas updates from Settings › About.
On your computer:
On your server: atlas deploy ~/my-mind --target compose|systemd|fly writes the files and prints the guide (--target fly --wizard goes all the way). Atlas runs at the root of its address or under any sub-path (base_path = "/notes" in the [server] section of atlas.toml).
Requires Python 3.11+ and git. init never overwrites: it refuses a non-empty folder without --force and keeps the files already there.
Connect your AI
-
claude.ai: on your Atlas's home, Add to Claude opens claude.ai with your Atlas filled in. Claude's free plan allows one connector: Atlas can be that one.
-
Claude Code, for every project:
then
/mcp, pickatlasand sign in. Prompts read/atlas:weekly-review, a document attaches as@atlas:doc://notes/x.md.atlas initalso installs a git hook so the commits Claude Code makes in a clone count as Claude's. -
Any other MCP client: give it
https://<your-atlas>/mcp. Clients that can't do OAuth take a token instead, from Settings › AI assistants oratlas token create ~/my-mind --label my-agent.
Every access shows in Settings › AI assistants, with when it was last used, and can be revoked. An access can be limited to read, inbox and/or write: an agent that reads your mail never needs to edit a note. Your AGENTS.md reaches every client as its instructions, so an assistant follows your conventions the moment it connects.
What your AI can do
Thirty-four tools, in six groups:
It also serves prompts you start by name (weekly-review, triage-contradictions, new-doc, resume, and your own, one Markdown file each), and every note is a resource (doc://<path>) to attach to a conversation.
In hosts that show MCP Apps (Claude on the web and desktop, ChatGPT, VS Code), four answers come as views you work in: your recent work sessions to resume, the mind's weather folder by folder, what you thought then beside what you think now, and an agent's runs to play back commit by commit and cut. Other hosts get the same answer as text.
[The mind's weather as an MCP App: folders ranked by what is being forgotten] [Then and now as an MCP App: each claim badged reversed, refined, held, dropped or new]
There is also a REST API v1 (Bearer tokens) with a published OpenAPI 3.1 spec.
In the viewer
[The Mind: a real mind of some 460 notes, each folder a region, links between them]
- Read: GitHub-flavoured Markdown with a table of contents and
[[wikilinks]], and PDF,.docx, HTML decks, images and JSON previewed inline. Full-text search, a command palette (Ctrl-K), backlinks, tags, pinned notes. - The Mind: every note and tag a node, every folder a region, recent notes glowing, orphans dimmed. Above: a real mind, some 460 notes.
- Write and organise: create, edit, rename and move notes and whole folders (links follow), templates, drag and drop from your computer, a bin you can restore from or empty, a mind-wide task list.
- History and activity: every note versioned, with clean diffs and restore; a home with the week at a glance, a journal of who changed what with the AI's share, and an undo for what one writer did in one go.
- Inbox: what your agents staged, one card at a time: keep, snooze or bin, by click or keyboard.
- Team and sharing: accounts, groups, per-note access (private, shared, common), and public share links that can expire.
- Hive Mind: publish a folder as a node; another Atlas subscribes and keeps a read-only mirror, which its AI reads like any other note.
- Copies: a copy on your own GitHub, updated at every change; a copy on your computer (
atlas sync); a full backup to download, and Restore on a new instance. - Everywhere: an installable app on your phone (scan the code in Settings), offline reading, light and dark themes.
- Settings: a page with your account (name, password, recovery codes, 2FA, sessions), your AI's accesses, the team, the look (language, accent, the name and line under the logo) and About, with the update button.
Run it
- Security: admin and member accounts, per-note access, optional TOTP 2FA, recovery codes for a forgotten password, per-account lockout and per-IP rate limits, full CSRF defence.
- Network: by default Atlas only reaches out to read an MCP client's public metadata when you connect that client over OAuth (
[oauth] client_metadata_fetch = falseturns it off), and to ask PyPI for the latest version when an admin opens About (and at most once a day for the admin's update banner with[server] update_check = true, which the alwaysdata install turns on). - Configuration: one small
atlas.toml: the name and line under the logo, the language, the port, accounts, the sub-path. - Updates: from Settings › About on a pip install (alwaysdata),
atlas update --target …for a deployment,uv tool upgrade atlas-mindon your computer. The engine and your notes update separately: upgrading never touches a note. - Commands:
atlas --helplists them:init,serve,build,deploy,update,user,token,share,inbox,import,export,sync,backup,restore,hook,setup-code,doctor.
Documentation
The documentation is itself an Atlas mind: browse it in the live demo → (the guides/ and features/ folders).
Support
Atlas is free and open source. To help keep it going: sponsor it on GitHub. Bugs and ideas go to the issues.
Licence
AGPL v3, see LICENSE. The "Atlas" + "Mind" branding in the viewer and on the sign-in page is a fixed part of the project.
Source: README.md at commit 3dcfe14
Tools
0Version history
9- v2.5.1LatestNov 5, 2026
- v2.5.0Nov 5, 2026
- v2.4.1Nov 4, 2026
- v2.3.0Nov 4, 2026
- v2.1.1Nov 3, 2026
- v2.1.0Nov 3, 2026
- v2.0.3Nov 3, 2026
- v1.11.1Oct 29, 2026
- v1.0.8Sep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declaredRequired10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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