IX

Amidst the swirling sands of the cosmos, Ix stands as an enigmatic jewel,
where the brilliance of human ingenuity dances on the edge of forbidden
knowledge, casting a shadow of intrigue over the galaxy.
\- Atreides Scribe, The Chronicles of Ixian Innovation
🌌 About
IX is a platform for designing and deploying autonomous and [semi]-autonomous LLM powered agents and workflows. IX
provides a flexible and scalable solution for delegating tasks to AI powered agents. Agents created with the platform
can automate a wide variety of tasks, while running in parallel and communicating with each other.
Build AI powered workflows:
- QA chat bots
- Code generation
- Data extraction
- Data analysis
- Data augmentation
- Research assistants
Key Features
🧠 Models
- OpenAI
- Google PaLM (Experimental)
- Anthropic (Experimental)
- Llama (Experimental)
⚒️ No-code Agent Editor
No-code editor for creating and testing agents. The editor provides an interface to drop and connect nodes into a graph
representing the cognitive logic of an agent. Chat is embedded in the editor to allow for rapid testing and debugging.
https://github.com/kreneskyp/ix/assets/68635/f43923b9-7bce-4b64-b30e-3204eb1673e4
💬 Multi-Agent Chat interface
Create your own teams of agents and interact with them through a single interface. Chat room support multiple agents.
By default it includes the IX moderator agent, which delegates tasks to other agents. You can @mention specific
agents to complete the tasks.
https://github.com/kreneskyp/ix/assets/68635/d1418c23-afb5-4aed-91c7-bf99b1c165d5
💡 Smart Input
The smart input bar auto-completes agent @mentions and file & data {artifacts} created by tasks.
https://github.com/kreneskyp/ix/assets/68635/27cf7085-7349-4641-9327-d31a3041a94c
⚡ Message Queue Drive Agent Workers
The agent runner backend is dockerized and is triggered with a celery message queue. This allows the backend to scale
horizontally to support a fleet of agents running in parallel.
⚙️ Component Config Layer
IX implements a component config layer that maps LangChain components to the configuration graph. The config layer
powers a number of other systems and features. For example, component field and connector definitions are used to
render nodes and forms dynamically in the no-code editor.
🛠️ Getting Started
Prerequisites
Windows Linux Subsystem (windows only)
Open powershell
run wsl --install to install and/or activate WSL
Docker
Install Docker Desktop for your OS:
https://www.docker.com/products/docker-desktop/
Detailed install instructions:
Mac
Windows
Python
Python 3.8 or higher is required for the CLI. The app python version is managed by the image.
Agent-IX CLI
The quickest way to start IX is with the agent-ix CLI. The CLI starts a preconfigured docker cluster with
docker-compose. It downloads the required images automatically and starts the app cluster.
Scale agent workers with the scale command. Each worker will run agent processes in parallel. The limit to the number
of workers is based on available memory and CPU capacity.
The client may start a specific version, including the unstable dev image built on master branch.
How does it work
Basic Usage
You chat with an agent that uses that direction to investigate, plan, and complete tasks. The agents are
capable of searching the web, writing code, creating images, interacting with other APIs and services. If it can be