scubagraham/outthebox-open-patterns

Three open-source AI agent governance patterns from OutTheBox.ai

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updated Sep 19, 2026

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README

OutTheBox Open Governance Patterns

Three working AI agent governance patterns, free and open source: a decision table, a worked example, and a Microsoft Agent 365 template for each. No sign-up, no trial, no cut-down version, the same content as the paid library, just fewer patterns.

Why these three

Most AI agent governance content today is either infrastructure (identity, sandboxing, policy enforcement, the plumbing that runs an agent safely) or documentation (a PDF someone has to read and remember). These three patterns are neither. They're executable decision logic for the questions the plumbing doesn't answer:

If you're running agent infrastructure with runtime enforcement already in place, these patterns sit above that layer: they're the governance decisions your enforcement tooling needs a rule to check against, not a replacement for it.

What's in each pattern folder

  • pattern.md — the full pattern: trigger condition, decision logic, provenance, and how it relates to neighbouring patterns.
  • decision-table.dmn — the same logic as an executable DMN decision table, tested against every input combination.
  • agent365-template.json — a native Microsoft Agent 365 governance template.
  • summary.md — a one-page summary of the problem and what the pattern does.

The rest of the library

This is 3 patterns out of 92, covering agent identity, cost, and sprawl governance in general. The full library adds 20 packs across lifecycle, pre-deployment, oversight, multi-agent coordination, drift, data governance, change management, and three regulated verticals (employment, worker monitoring, education), all cross-referenced against each other. See outthebox.ai if that's useful to you.

License

MIT. Use it, fork it, adapt it, ship it. See LICENSE.

Support

This repo is provided as-is. No support commitment, issues and PRs are welcome but may not get a fast response, this is a solo project.

Contributors

scubagraham

1 commits

scubagraham/outthebox-open-patterns

Three open-source AI agent governance patterns from OutTheBox.ai

0

1 commits

updated Sep 19, 2026

See the code

See what people are saying (1)

README

OutTheBox Open Governance Patterns

Three working AI agent governance patterns, free and open source: a decision table, a worked example, and a Microsoft Agent 365 template for each. No sign-up, no trial, no cut-down version, the same content as the paid library, just fewer patterns.

Why these three

Most AI agent governance content today is either infrastructure (identity, sandboxing, policy enforcement, the plumbing that runs an agent safely) or documentation (a PDF someone has to read and remember). These three patterns are neither. They're executable decision logic for the questions the plumbing doesn't answer:

If you're running agent infrastructure with runtime enforcement already in place, these patterns sit above that layer: they're the governance decisions your enforcement tooling needs a rule to check against, not a replacement for it.

What's in each pattern folder

  • pattern.md — the full pattern: trigger condition, decision logic, provenance, and how it relates to neighbouring patterns.
  • decision-table.dmn — the same logic as an executable DMN decision table, tested against every input combination.
  • agent365-template.json — a native Microsoft Agent 365 governance template.
  • summary.md — a one-page summary of the problem and what the pattern does.

The rest of the library

This is 3 patterns out of 92, covering agent identity, cost, and sprawl governance in general. The full library adds 20 packs across lifecycle, pre-deployment, oversight, multi-agent coordination, drift, data governance, change management, and three regulated verticals (employment, worker monitoring, education), all cross-referenced against each other. See outthebox.ai if that's useful to you.

License

MIT. Use it, fork it, adapt it, ship it. See LICENSE.

Support

This repo is provided as-is. No support commitment, issues and PRs are welcome but may not get a fast response, this is a solo project.

Contributors

scubagraham

1 commits