Evotis is a developer tool  designed to simplify building reliable AI applications. At its core is a clear, declarative pipeline language specifically crafted for knowledge-processing tasks.

The Evotis language uses pipelines, or "pipes," each capable of integrating different language models (LLMs) or software to process knowledge. Pipes consistently deliver structured, predictable outputs at each stage.

Evotis employs user-friendly TOML syntax, enabling developers to intuitively define workflows in a narrative-like manner. This approach facilitates collaboration between business professionals, developers, and language models (LLMs), ensuring clarity and ease of communication.

Pipes work like modular building blocks, assembled by connecting other pipes sequentially, in parallel, or by calling sub-pipes. This assembly resembles function calls in traditional programming but emphasizes a more intuitive, plug-and-play structure, focused explicitly on clear knowledge input and output.

Evotis will be distributed as an open-source Python library, with a hosted API launching soon, enabling effortless integration into existing software systems and automation frameworks. Additionally, Evotis will provide an MCP server that will enable AI Agents to run pipelines like any other tool.

For now, you can sign-up for our closed beta here.