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automagica

automagica/automagica

AI-powered Smart Robotic Process Automation

GraphCanon updated Sep 19, 2026 · GitHub synced Sep 19, 2026

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3.1k stars485 forksLast push Oct 13, 2020 Python

Decision brief

Automagica is an AI-driven RPA platform that specializes in automating repetitive tasks on desktops and web interfaces using Python.

Good fit when

  • When you need to automate processes across both desktop applications and web interfaces, leveraging intelligent automation capabilities powered by Python.
  • If your workflow involves complex decision-making or varying tasks well-suited for an AI-driven approach rather than rule-based systems.

Avoid when

  • Avoid if your specific automation requirements are better served by competitor platforms that offer more extensive pre-built connectors without the need for custom scripting in Python.
  • If your project strictly requires low-code/no-code solutions where writing or modifying scripts is not feasible or desired.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (2167d since push)
As of Sep 19, 2026
Provenance
Not a fork · Organization account
As of Sep 19, 2026
Security (OSV)
No lockfile
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install automagica
PyPI

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Automagica offers an AI-driven robotic process automation platform that automates repetitive tasks on desktops and web interfaces using Python.

Capability facts

Languages
python

Source: github.language · Sep 19, 2026

Categories

Tags

README

Copyright and licensing All source code and other files in this repository, unless stated otherwise, are copyright of Netcall plc. Commercial license For more information on licensing, trials and commercial use see this page

For agents

This page has a .md twin and JSON over the API.

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