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hardness1020 / Leeway

A workflow-driven AI agent framework that executes YAML-defined decision trees.

Why this job: says: agent framework; topics: human-in-the-loop, ai-agents

What it does

  • Each node declares its allowed choices up front, as part of the node's outgoing paths. No global list, no free-form routing. An assess node might allow only needs_investigation or well_documented; the same label on a different node can mean
  • The model's decision tool only accepts those choices. If it picks anything else, the tool call returns an error listing the valid options, and the model tries again. Typos and made-up names fail fast instead of quietly leading the workflow
  • A legal choice with no matching path halts the run. If the model picks an option that's valid in theory but no real path is wired up for it, the engine stops and logs it rather than drifting.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 5 months ago
Stars
116
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
91% of the code

Is it looked after?

Contributors
0
Last 90 days
Issues
0% closed
1 still open
Pull requests
0 merged
1 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 91%
  • TypeScript 9%

Topics

  • ai-agents
  • human-in-the-loop

Project record

  • JobAgent frameworks
  • StatusListed
  • Commits37
  • Forks19
  • Watching0
  • Stars in 28 days+1
  • CreatedApr 9, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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