Pipelex – Declarative language for repeatable AI workflows
We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…
Pipelex – Declarative language for repeatable AI workflows launched on October 28, 2025 with 122 votes, #260 of 8,178 launches that month and more than 95% of that year's launches.
In plain words
Pipelex is a domain-specific language and Python runtime for building repeatable AI workflows across multiple LLM models and providers. Users declare workflow steps and interfaces in a declarative format similar to Dockerfile or SQL, and the runtime handles execution. Each step includes natural-language context so language models can understand, audit, and optimize pipelines. It supports agent-driven pipeline execution and creation, composable workflows, and works as an open standard with editor extensions and integration nodes, designed for teams building multi-step LLM applications.
written from the facts on this page · September 2026
From the sources
Declarative language for composable Al workflows. Devtool for agents and mere humans. - Pipelex/pipelex
In the maker’s words, at launch
We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state…
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