OmniChain - efficient self-updating visual workflows for large language models - build automations, chatbots, agents, and integrate with existing frameworks

• Build powerful custom workflows with AI language models doing all the heavy lifting, guided by your own logic process, for a drastic improvement in efficiency.

• Use the chain's memory abilities to store and recall information, and make decisions based on that information.

• Easily make workflows that act like tireless robot employees, doing tasks 24/7 and pausing only when you decide to talk to them, without ceasing operation.

• Squeeze more power out of smaller models by guiding them through a specific process, like a train on rails, even giving them hints along the way, resulting in much more efficient and cost-friendly logic.

• Access the underlying operating system to read/write files, and run commands.

• Have the model generate and run NodeJS code snippets, or even entire scripts, to use APIs, automate tasks, and more, harnessing the full power of your system.

• Create custom agents and regular logic chains wired up together in a single workflow to create efficient and flexible automations.

• Attach your creations to any existing framework (agentic or otherwise) via the OpenAI-format API, to empower and control its thought processes better than ever!

• Private (self-hosted), fully open-source, and available for commercial use via the non-restrictive MIT license.

• No coding skills required!

Get started by reading the docs.