This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Agent Actions
Declarative framework for multi-step LLM workflows
Agent Actions is a declarative framework for building multi-step agentic workflows. Define your pipeline in YAML: what each step does, what model it uses, what data it sees, how to validate the output. The framework handles orchestration, retries, and batch execution. The unit of work is the action. Every action is a self-contained task that can be completed by an LLM, a Python tool call, or a human-in-the-loop dashboard.
“Declarative framework for multi-step LLM workflows”
Agent Actions was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #104 on the daily leaderboard. Agent Actions is a declarative framework for building multi-step agentic workflows. Define your pipeline in YAML: what each step does, what model it uses, what data it sees, how to validate the output. The framework handles orchestration, retries, and batch execution. The unit of work is the action. Every action is a self-contained task that can be completed by an LLM, a Python tool call, or a human-in-the-loop dashboard.
Who hunted Agent Actions?
Agent Actions was hunted by Muizz Kolapo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Muizz Kolapo