mindm 0.0.6.1

Python library for interacting with local installed MindManager(tm) on Windows and MacOS platform.

mindm

Python library for interacting with locally installed MindManager™ on Windows and macOS platforms.

Features

• Direct automation hooks for MindManager via platform-specific connectors in mindm/
• High-level document model, serialization helpers, and exporters in mindmap/
• YAML, JSON, and Mermaid serialization/deserialization helpers for round-tripping maps
• CLI export via mindm-export (HTML or data-only outputs)
• Codex skill in skills/mindm-export (packaged as dist/mindm-export.skill)
• Sphinx documentation plus runnable snippets under examples/

Project Layout

mindm/
├── mindm/        # Platform connectors (MindManager COM, AppleScript, etc.)
├── mindmap/      # MindmapDocument model + serialization helpers
├── mindmap/export.py  # CLI export entrypoint (mindm-export)
├── skills/       # Codex skills (mindm-export)
├── docs/         # Sphinx documentation (make docs → docs/_build/html)
├── examples/     # Usage snippets / sanity scripts
├── dist/         # Build artifacts and packaged skill files

Installation

PyPI

pip install mindm

Local development

git clone https://github.com/robertZaufall/mindm
cd mindm
pip install -e ".[dev]"

Getting Started

Low-level example

Example for iterating over all topics in a mindmap and changing the topic text to uppercase:

import mindm.mindmanager

def iterate_topics(topic):
    text = m.get_text_from_topic(topic)
    m.set_text_to_topic(topic, text.upper())

    subtopics = m.get_subtopics_from_topic(topic)
    for subtopic in subtopics:
        iterate_topics(subtopic)

m = mindm.mindmanager.Mindmanager()
central_topic = m.get_central_topic()
iterate_topics(central_topic)

High-level examples

Example for loading a mindmap from an open mindmap document and cloning it to a new document:

import mindmap.mindmap as mm

document = mm.MindmapDocument()
document.get_mindmap()
document.create_mindmap()

Example for serializing a mindmap to YAML format:

import yaml
import mindmap.mindmap as mm
import mindmap.serialization as mms

document = mm.MindmapDocument()
document.get_mindmap()

guid_mapping = {}
mms.build_mapping(document.mindmap, guid_mapping)

yaml_data = mms.serialize_object(document.mindmap, guid_mapping)
print(yaml.dump(yaml_data, sort_keys=False))

Example for serializing / deserializing a mindmap to / from Mermaid format including all attributes:

import json
import mindmap.mindmap as mm
import mindmap.serialization as mms

document = mm.MindmapDocument()
document.get_mindmap()

guid_mapping = {}
mms.build_mapping(document.mindmap, guid_mapping)

serialized = mms.serialize_mindmap(document.mindmap, guid_mapping, id_only=False)
print(serialized)

deserialized = mms.deserialize_mermaid_full(serialized, guid_mapping)
print(json.dumps(mms.serialize_object_simple(deserialized), indent=1))

document_new = mm.MindmapDocument()
document_new.mindmap = deserialized
document_new.create_mindmap()

Example for serializing / deserializing a simplified Mermaid mindmap (text and indentation only):

import mindmap.mindmap as mm
import mindmap.serialization as mms

document = mm.MindmapDocument()
document.get_mindmap()

simple_mermaid = mms.serialize_mindmap_simple(document.mindmap)
print(simple_mermaid)

simple_root = mms.deserialize_mermaid_simple(simple_mermaid)

Example for deserializing a simplified Mermaid mindmap (text and indentation only):

import mindmap.serialization as mms

mermaid = """
mindmap
  Creating an AI startup
    Vision & Strategy
      Mission and Value
        Problem statement
        Value proposition
        Long term goals
"""

mindmap_root = mms.deserialize_mermaid_simple(mermaid)

CLI export

Run the console script (installed via pip or uvx):

mindm-export --type mermaid_html --open

Run from source without installing the package:

python -m mindmap.export --type json --output /tmp/mindmap.json

Codex skill

The Codex skill lives at skills/mindm-export and is packaged as dist/mindm-export.skill for agent use. It documents the CLI flags and recommended uvx one-liners.

Platform Specific Functionality

Platform	Supported	Not Supported
Windows	topics, subtopics, notes, icons, images, tags, external/topic links, relationships, RTF	floating topics, callouts, colors, lines, boundaries
macOS	topics, subtopics, notes, relationships	icons, images, tags, links, RTF, floating topics, callouts, colors, lines, boundaries

Development Workflow

• pip install -e ".[dev]" to get linting, testing, and docs dependencies
• make build (or python -m build) to create wheels and sdists in dist/
• make docs to rebuild the HTML documentation under docs/_build/html
• pytest for unit/integration coverage (add tests in tests/ or examples/)
• MINDM_SMOKE=1 pytest -q for a live smoke run against a connected MindManager instance

See make help for additional automation such as version bumps (make update-version) or GitHub releases.

Documentation

Generated docs publish to GitHub Pages: https://robertzaufall.github.io/mindm/.
Run make docs locally to validate new API additions before contributing changes.