The agent-qa repository describes a self improving test agent for web and mobile software teams.
Instrukt
Instrukt runs in a terminal and lets users build, test, and direct AI agents.
About Instrukt
Instrukt is an open-source, terminal-based integrated AI environment for building, testing, and directing AI agents. It lets users create modular custom agents, attach custom or pre-defined tools to agents, generate document indexes for retrieval-augmented question-answering, and run agents inside sandboxed Docker containers for safety and isolation. It supports operation on bare metal or Docker containers with CUDA, remote access via SSH and terminal multiplexers, and is built on LangChain, Textual, and Chroma.
Key features
- Terminal-based keyboard-driven interface for AI agent control
- Create shareable modular AI agents as Python packages
- Attach or detach tools to agents dynamically
- Generate document indexes for agent question-answering
- Run agents in sandboxed Docker containers for safety
- Integrated REPL prompt for quick agent interaction and testing
Best for: Developers and technical users building, testing, and directing custom AI agents in terminal workflows.
Good for
- Open-source, allowing customization and sharing of agents and tools
- Sandboxed Docker container execution for agent safety and isolation
- Supports local bare metal, Docker/CUDA, and remote SSH deployment
Watch out for
- Marked as a work in progress with expected bugs and API changes
- Default quickstart requires an OpenAI API key for LLM access
- Bare container deployments require pre-installed g++ and libmagic
Instrukt at a glance
- Website
- github.com/blob42/Instrukt
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Instrukt FAQ
How do I set up and run Instrukt?
Install via pip with `pip install instrukt[all]`, set your OPENAI_API_KEY, then run the `instrukt` command.
Can I create and share custom AI agents?
Yes, agents are simple shareable Python packages that can be extended with custom tools and document indexes.
Are agent runs isolated for safety?
Yes, agents can run inside sandboxed Docker containers, with optional gVisor runtime for full isolation.
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