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Runsight

YAML-first workflow engine for AI agents with runtime

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What is Runsight?

Runsight — YAML-first workflow engine for AI agents.

Design agent workflows visually. The canvas writes YAML to your filesystem — commit it, diff it, review it in PRs like any other code.

When something breaks at 2 AM, you don't restart and hope. You pause the running agent, edit the prompt, and resume. No redeployment.

What makes it different:

→ Git-native. Workflows are YAML files in your repo, not rows in a database.

→ Per-run cost tracking. Know what every agent call costs before the invoice arrives.

→ Runtime intervention. Pause, inspect, fix, resume — while the workflow is running.

Built for engineering teams who run agents in production and need the same rigor they have for everything else: version control, code review, and the ability to kill a runaway process.

Open source. Self-hosted.

How to use Runsight

  1. 1

    Run `uvx runsight` to scaffold a project and start the local server at port 8000

  2. 2

    Add your API key in the onboarding flow, then design a workflow via YAML editor or canvas

  3. 3

    Save the workflow YAML file in your repo and commit it to Git

  4. 4

    Click Run to execute the workflow and watch blocks with real-time cost tracking

  5. 5

    Monitor costs, pause or kill mid-run, and evaluate outputs with built-in assertions

Key features

Design agent workflows visually with a canvas that writes clean YAML to your filesystem

Per-run cost tracking and hard budget caps to avoid overspend

Pause, inspect, and resume running agents without redeployment

Built-in eval assertions and transform hooks for regression testing

Git-native: every save is a commit, diff and review workflows in PRs

Use cases

  • Production AI agent pipelines requiring version control and code review
  • Iterative prompt engineering with runtime pause, edit, and resume
  • Cost-constrained batch processing using hard budget limits per run
  • Multi-step AI workflows with assertions, like research → review → publish
  • Regression testing for agent outputs over time with the eval framework

Best for

Engineering teamsAI agent developersDevOps for LLMsCost-conscious teamsSelf-hosted practitionersOpen-source advocates

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Frequently asked questions about Runsight

Common questions to help you decide if Runsight is right for you.

Yes, Runsight is open source under Apache 2.0 and self-hosted, so it is free to use. You only pay for your own API usage.

You can pause a running agent at any time, inspect its state, edit prompts or configuration, then resume execution without restarting or redeploying.

Absolutely. Runsight runs locally on your machine and you provide your own API keys. Nothing leaves your network unless you choose to.

Yes, workflows are YAML files in your repo. You can commit, diff, branch, and review them just like code.

Runsight includes built-in assertions and transform hooks on block outputs, enabling automated regression testing across runs.

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