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Image & Design

Runsight

A tool to design and manage AI agent workflows.

At a glance

Price not confirmed · Source review 2026-11-02
Price & billing

Homepage observation only, not adopted as fact: no tier price was verified in this review; the tool is presented as open-source and self-hosted. Recheck official pricing before purchase.

Free allowance

Not separately confirmed. Check the current plan before relying on a free allowance.

Best suited to

Developers running versioned, cost-controlled agent workflows.

Fit is editorial guidance, not a measured result.
Platforms

Access: not separately verified. Operating systems not separately verified.

Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.

No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.

What to know before choosing

Good fit

Developers running versioned, cost-controlled agent workflows.

Limits and trade-offs

The reviewed homepage shows no hosted pricing; self-hosting effort and model costs were not tested.

Plans and free allowances

Homepage observation only, not adopted as fact: no tier price was verified in this review; the tool is presented as open-source and self-hosted. Recheck official pricing before purchase.

Evidence

Official homepage ↗ (reviewed 2026-11-02)

Official published page review; no authenticated product test

Dates: Last reviewed 2026-11-02. Last reviewed is the latest source or editorial review date; it is not a content-change date.

A closer look at Runsight

Runsight is an open-source, YAML-first, Git-native agent workflow engine: define agent workflows in versioned files, track per-run cost, set budget caps and eval assertions, and run it self-hosted with your own keys.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Runsight

  • Developers who want agent workflows in Git with cost control.
  • Teams that need eval assertions and budget caps on agent runs.

When to choose something else

  • Non-developers who want a no-code agent builder.
  • Anyone who needs a hosted service with no setup.

A practical starting workflow

  1. Define an agent workflow in YAML and commit it to Git.
  2. Run it with your own model keys and track per-run cost.
  3. Enforce budget caps and eval assertions on every run.

Check before committing

  • No pricing route was reviewed; model API costs are separate.
  • Prices and features may change after this review; recheck the official site before purchase or signup.

Common questions

What is Runsight?

An open-source YAML-first agent workflow engine that is Git-native, with cost tracking, budget caps and eval assertions.

Official homepage ↗

How do I run it?

Self-hosted with your own keys, installed with uvx, according to the homepage.

Official homepage ↗

What does it cost?

No pricing page was verified; as an open-source self-hosted tool it has no subscription price on the reviewed homepage.

Official homepage ↗

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Sources and checks

Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.