GraphCanon updated 2w · GitHub synced 2w
Decision brief
Promptmage is an open-source Python tool simplifying LLM workflow creation and management.
Good fit when
- When you require a streamlined process for crafting and overseeing large language model workflows specifically with Python.
- If your project can benefit from Docker integration examples, as provided by Promptmage.
Avoid when
- If your preferred programming environment is not Python or does not support the same level of workflow automation offered by this tool.
- When there is a need for a more bespoke solution that cannot leverage the pre-defined structures and capabilities of Promptmage's framework.
- Requirements:
- Requires Docker
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (649d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install promptmageSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Promptmage is an open-source project that simplifies the process of creating and managing large language model workflows using Python.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 2, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Installation
To install promptmage, run the following command:
pip install promptmage
Use with Docker
You can find an usage example with docker here: Docker example.
License
This project is licensed under the MIT License - see the LICENSE.md file for details. Original development by Tobias Sterbak. Copyright (C) 2024.
For agents
This page has a .md twin and JSON over the API.