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Instrukt

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Integrated AI environment in the terminal for building, testing, and instructing agents.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

102views this month

330 stars28 forksLast push May 14, 2025 Python AGPL-3.0

Decision brief

Instrukt is an integrated AI environment for terminal-based development, using Python for building and testing agents.

Good fit when

  • When you prefer a terminal interface for developing AI agents and are comfortable using Python.
  • If your project requires the capability to build and test AI agents in a streamlined terminal environment.

Avoid when

  • When you prioritize graphical user interfaces over command-line tools.
  • If your project requires proprietary or closed-source tooling, as Instrukt's AGPL license mandates sharing modifications publicly.

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (494d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

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

Install

pip install Instrukt
PyPI

Similar tools

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Evidence and technical details

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

Overview

Instrukt is an integrated AI development environment that operates in the terminal, offering tools to build, test and instruct AI agents using Python.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 20, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Tags

README

License Copyright (c) 2023 Chakib Ben Ziane. All Rights Reserved. Instrukt is licensed with a AGPL license, in short this means that it can be used by anyone for any purpose. However, if you decide to make a publicly available instance your users are entitled to a copy of the sou...

For agents

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

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