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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Integrated AI environment in the terminal. Build, test and instruct agents.
| Date | Stars |
|---|---|
| 2026-07-31 | 329 |
| 2026-08-06 | 329 |
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# >_⚡ Instrukt **Terminal AI Commander at your fingertips** [coding assistant example](https://github.com/blob42/Instrukt/assets/210457/244fb490-4774-4877-abf6-f64e94f24922) Checkout [demos](demos.md) for more examples. **NOTE**: This is a work in progress, expect bugs and api changes. ## Introduction Instrukt is a terminal-based AI integrated environment. It offers a platform where users can: - :robot: Create and instruct modular AI agents - :card_file_box: Generate document indexes for question-answering - :toolbox: Create and attach tools to any agent Agents are simple **drop-in Python packages** that can be extended, shared with others, attached to tools and augmented with document indexes. Instruct them in natural language and, for safety, run them inside secure containers (currently implemented with Docker) to perform tasks in their dedicated, sandboxed space :shield:. Built with: [Langchain](https://github.com/hwchase17/langchain), [Textual](https://github.com/Textualize/textual), [Chroma](https://github.com/chroma-core/chroma) **Consulting Services**: Need help with Langchain or AI integration ? You can reach out to me at [[email protected]](mailto://[email protected]) ## TOC - [Usage](#usage) - [Features](#features) - [Supported Platforms](#supported-platforms) - [LLM Models](#llm-models) - [Document Indexes and Question-Answering](#document-indexes-and-question-answering) - [Roadmap](#roadmap) - [Contributing](#contributing) - [Social](#social) - [Vision](#vision) - [License](#license) ## Usage ### Quickstart - `pip install instrukt[all]` - export `OPENAI_API_KEY` with your OpenAI API key. - run `instrukt` - If the color scheme is broken, export `TERM=xterm-256color` - A configuration file will be created at: `~/.config/instrukt/instrukt.yml` You can run instrukt on headless server such or a docker container with CUDA support. **NOTE**: if you are starting with a bare container, you need at least g++ and libmagic. Check the [quickstart](docs/source/quickstart.md) and [install](docs/source/install.md) guide for more details. #### From source: - Make sure the latest version of `poetry` is installed. - Set your virtualenv - Clone the repository - Run `poetry install -E all --with dev,test` - This will install Instrukt including extra tools for agents. [See the installation guide for more details](docs/source/install.md) ### Default Agents: **Coding AI**: A coding assistant. Create indexes over any code base and attach it to the agent to do RAG (Retrieval Augmented Generation) **Chat Q&A**: A simple conversational agent. ## Features #### :computer: Keyboard and Mouse Terminal Interface: - A terminal-based interface for power keyboard users to instruct AI agents without ever leaving the keyboard. - [Rich](https://github.com/Textualize/rich) colorful agent outputs with markdown and source code support thanks to the [Textual](https://github.com/Textualize/textual) TUI library. - Run Instrukt on bare metal or docker containers with CUDA support. - Remote access with SSH and terminal multiplexers. #### :robot: Custom AI Agents: - Design [custom agents](docs/source/quickstart.md#custom-agents) and tools. - Agents are simple python packages can be shared and loaded by other users. #### :books: Chat with code and documents: - Index your data and let agents retrieve it for question-answering. - Create and organize your indexes with an easy UI. - Index creation will **auto detect programming languages** and optimize the splitting/chunking strategy accordingly. - Fuzzy select (fzf, dmenu ...) source documents that were used for retrieval `ctrl+p` #### :wrench: Tools: - Use the pre-defined toolset or design your own tools. - Attach or detach tools to agents on-the-go, tailoring your AI workflows to your needs. #### :zap: Prompt Console : - Integrated REPL-Prompt for quick interaction with agents, and a fast feedback loop for development and testing. - Automate repetitive tasks w
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