agentrun
★ 423▲ 13Parcha-ai/agentrun
A workflow DSL for agents with a Jev package for the steps that are decisions rather than generation.
Ruby and Rails: email.feels?(:urgent) as a named question on a field, with decide and score beside it and validations that use them.
Checked, not fully reviewed
email.feels?(:urgent) as a named question on a field, with an Active Model validator. Checked, not fully reviewed: its suite, and what each call sends.
Good for
Watch out for
Tested Oct 1, 2026 at 76fa9af29e39 · Ruby 3.4 in Docker; its 179 examples plus our own probes through its scripted transport
Checked, not fully reviewed. We ran its own suite and the documented quickstart, and measured what a call sends. We made no Jev calls and used no API key.
feels :body, :urgent turns a named question into email.feels?(:urgent); decide and score
cover the other two answer types, and validates_feeling puts a threshold into Active Model
validation. The declaration binds a question to a field, which is the part that reads well: the
question lives next to the data it asks about rather than in a service object three files away.
179 examples pass on Ruby 3.4, with the one live-API example correctly pending without a key. The state it sends is the attribute’s text and nothing else.
The cost shape is worth knowing. We measured three predicates on one object called one at a time:
three requests, one question each. Asking the same predicate twice on the same object asks
twice — there is no per-instance memo, so a view that calls feels? in a loop pays each time.
Jev.measure exists for that, and batches several questions into one request — but the README’s
batch example passes a record (Jev.measure(ticket)) where the method wants text, and raises
ArgumentError: text must be a String. Passing the text works and gives one request for all the
questions. We reported it; until it is fixed, reach
for Jev.measure(record.body) { … } rather than several predicates in a row.
MIT, 19 stars, a week old. Pleasant to read, and the smaller cousin of Truffler, which stores answers and ranks in SQL instead.
See how it compares with other tools in Best Jev tools, tested hands-on.
Review updated Oct 1, 2026. Numbers quoted from the project are its author's own; we don't publish our own measurements of Jev.
Parcha-ai/agentrun
A workflow DSL for agents with a Jev package for the steps that are decisions rather than generation.
osolmaz/switch
TypeScript framework for decision-model harnesses: your program offers a short list of next steps and the model picks one at a time until it can answer, with chess, wikirace and rubric-judge examples run on Jev.
disler/ten-levels-of-jev
Thirty worked uses arranged in ten levels, from one if statement to an agent that reaches for Jev itself, with a video walkthrough.
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