switching to anytype: a developers guide to the obsidian alternative

@pilput

about 3 hours ago0views

why developers are looking beyond obsidian

obsidian has long been the go-to knowledge base for developers, students, and engineers. its local-first approach and plugin ecosystem make it powerful, but it comes with drawbacks: proprietary sync, closed-source core, and a reliance on third-party plugins for collaboration. if you are invested in devops workflows or managing complex full stack projects, these limitations can become roadblocks. enter anytype.

anytype is a local-first, open-source, and peer-to-peer alternative that prioritizes privacy, offline capability, and structured data. it uses an object-based paradigm instead of flat markdown files, which opens up entirely new ways to model your development workflows. let's explore how to make the switch.

core concepts: how anytype differs from obsidian

before migrating your data, you need to understand the philosophical and architectural differences between the two tools. while obsidian is essentially a markdown viewer with a graph overlay, anytype is an object-oriented knowledge manager.

1. files vs. objects

in obsidian, everything is a .md file. in anytype, everything is an object. an object can be a note, a task, a person, or a project. each object has a specific type, which defines its properties and relations. this is incredibly powerful for coding and engineering, where you want to track bugs, features, and documentation with distinct schemas rather than just tagging a flat text file.

2. folders vs. sets

instead of browsing a file tree, anytype uses sets. a set is essentially a database view of objects filtered by type or relations. for example, you can create a set of all "bug" objects assigned to a specific "project" object, viewing them as a kanban board, a gallery, or a table.

3. wikilinks vs. relations

obsidian uses [[links]] to connect notes. anytype uses relations. while you can still link objects inline, relations allow you to create typed, structured connections. for example, a "feature" object can have a relation called "author" linking to a "person" object, and a "status" relation linking to a specific status tag.

mapping your obsidian workflow to anytype

to make the transition smooth, you should map your existing obsidian vault structure to anytype's object model. here is a suggested mapping for a developer workflow:

obsidian folders → anytype types (e.g., "docs", "snippets", "projects")
obsidian tags → anytype relations (e.g., status, priority, language)
obsidian daily notes → anytype daily object
obsidian kanban plugin → anytype set view
obsidian dataview queries → anytype filtered sets

step-by-step: migrating your data

unlike switching code editors, migrating a knowledge base requires careful data transformation. because anytype does not natively import a raw obsidian vault folder, we need to use the intermediate format anytype understands best: markdown.

step 1: export your obsidian vault

if your vault is small, you can simply copy your .md files. for larger, more complex vaults, ensure you export your data properly. obsidian's standard export tool will preserve your markdown formatting.

step 2: convert frontmatter to anytype-ready format

obsidian relies heavily on yaml frontmatter for metadata (which powers plugins like dataview). anytype does not read yaml frontmatter as structured relations upon import. to bridge this gap, you might need a script to parse your frontmatter and reformat it, or you will need to recreate these as relations manually inside anytype post-import.

here is a quick python snippet to scan your obsidian yaml tags, which you can later recreate as anytype relations:

import os
import yaml

def extract_obsidian_metadata(vault_path):
    metadata_list = []
    for root, dirs, files in os.walk(vault_path):
        for file in files:
            if file.endswith('.md'):
                file_path = os.path.join(root, file)
                with open(file_path, 'r', encoding='utf-8') as f:
                    try:
                        content = f.read()
                        # check if frontmatter exists
                        if content.startswith('---'):
                            end_idx = content.find('---', 3)
                            if end_idx != -1:
                                yaml_block = content[3:end_idx]
                                metadata = yaml.safe_load(yaml_block)
                                if metadata:
                                    metadata_list.append({
                                        'file': file,
                                        'meta': metadata
                                    })
                    except exception as e:
                        print(f"error parsing {file}: {e}")
    return metadata_list

# usage: point this to your obsidian vault directory
# vault_data = extract_obsidian_metadata('/path/to/your/vault')

step 3: import into anytype

currently, anytype supports markdown import. you can import your files using the desktop app:

open anytype and create a new space (or use an existing one).
navigate to settings > import > markdown.
select the directory containing your exported markdown files.
anytype will convert each .md file into a note object.

pro tip: after import, all your notes will default to the "note" type. you will need to batch-select relevant objects and change their type to your custom types (e.g., "bug", "api doc", "sprint") to leverage anytype's relational features fully.

rebuilding your devops and full stack workflows

now that your data is in anytype, it is time to level up your setup. here is how you can model a robust full stack development environment.

creating custom object types

go to space settings > types and create the following types:

repository: to track git repos, containing relations for language, framework, and deploy url.
issue/bug: with relations for priority, status (backlog, in progress, done), and assigned developer.
snippet: for reusable code blocks, with a relation for the programming language.
server/environment: for devops tracking, containing ip addresses, ssh keys (encrypted), and deployment status.

setting up your dashboard

once your types are created, build a dashboard that aggregates your sets. you can create a central "home" object and link to:

a set of "issues" filtered by status = "in progress".
a set of "snippets" grouped by language.
a set of "servers" showing your devops infrastructure status.

this dashboard acts as your central command center, replacing the fragmented plugin approach in obsidian with a natively structured database.

documenting code and apis in anytype

developers love markdown for a reason—it makes writing code blocks effortless. anytype fully supports inline code and code blocks with syntax highlighting. when documenting your coding projects, you can easily embed snippets:

// example express.js server setup (full stack)
const express = require('express');
const app = express();
const port = process.env.port || 3000;

app.get('/api/status', (req, res) => {
    res.json({ status: 'operational', service: 'anytype-migration-api' });
});

app.listen(port, () => {
    console.log(`server running on port ${port}`);
});

unlike obsidian, where a code block is just text, in anytype, the snippet object type allows you to attach metadata (like the language, the project it belongs to, and the author) directly to the code, making it searchable and relational.

optimizing your knowledge base for seo

if you are a blogger, technical writer, or a full stack developer managing a company's engineering blog, seo is crucial. anytype can serve as an incredible content management system (cms) for your writing workflow.

modeling an seo content pipeline

create a custom type called article with the following relations:

target keyword (text/tag): e.g., "devops pipeline setup"
search intent (select): informational, navigational, commercial, transactional
word count goal (number)
internal links (relation to other article objects): crucial for seo siloing.
publish date (date)
review status (status): draft, in review, published

by creating a set of "articles" and grouping them by "review status", you instantly have a trello-like board for your seo content pipeline. because anytype is local-first and works offline, you can draft and structure your seo-optimized articles without any internet connection, syncing seamlessly when you are back online via its peer-to-peer protocol.

overcoming common friction points

switching tools is never completely painless. here are a few hurdles you might encounter and how to overcome them:

missing your favorite obsidian plugins

obsidian's plugin ecosystem is massive. you might miss templater, dataview, or git. here is the good news: anytype has native features that replace the most popular plugins:

templates: anytype has built-in object templates. create a template for a "new bug" that pre-fills your relations and headings.
dataview: sets completely replace dataview. instead of writing complex sql-like queries, you use anytype's visual filters and sorting.
version control: anytype maintains an automatic version history for every object. while it is not git, you can easily restore previous states of your notes without external tools.

the mindset shift

the biggest challenge is not technical; it is psychological. stop thinking of your knowledge base as a folder of text files. start thinking of it as a relational database. when you write a note about a new api endpoint, don't just write it in a vacuum—link it to the project, the server it runs on, and the developer who built it. this interconnectedness is where anytype truly outshines obsidian.

conclusion

switching to anytype requires a paradigm shift from file-based thinking to object-oriented modeling. for developers, engineers, and students, this shift is well worth the effort. by leveraging custom types, relations, and sets, you can build a deeply interconnected workspace for coding, devops management, full stack project tracking, and seo content creation. export your markdown, define your types, and start building a knowledge graph that actually thinks the way you code.