OpenWorkProof vs agent-governance-toolkit
AI agent governance and work verification compared
OpenWorkProof links task authorization to execution evidence, independent verification, and a separate acceptance decision. agent-governance-toolkit evaluates agent actions against policies and adds identity, audit, and execution controls in application code, so the main difference is portable proof of scoped work versus runtime governance controls.
OpenWorkProof: Verify and Accept AI Agent Work
OpenWorkProof adds signed work contracts and portable evidence to AI agent workflows. It helps teams check authorization and execution independently, while keeping verification separate from a human’s decision to accept or reject the result.
agent-governance-toolkit: Govern Autonomous AI Agents
Microsoft’s Agent Governance Toolkit uses the Agent Control Specification policy runtime to govern autonomous agents with policy enforcement, identity, sandboxing, and audit controls. It supports multiple agent frameworks and language SDKs, with Python providing the full stack.
| OpenWorkProof | agent-governance-toolkit | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Stars | 287 | 6.5k |
| Forks | 0 | 1.1k |
| Last analyzed | Oct 10, 2026 | Oct 23, 2026 |
Key differences
- OpenWorkProof focuses on signed work contracts and verifiable execution evidence; agent-governance-toolkit focuses on policy checks and controls around agent actions.
- OpenWorkProof supports offline review of exported evidence bundles using public keys; agent-governance-toolkit records policy decisions in audit trails.
- OpenWorkProof treats verification and human acceptance as separate decisions; agent-governance-toolkit describes allow, deny, and approval policy outcomes.
- OpenWorkProof lists a Python implementation and an Apache-2.0 license; agent-governance-toolkit lists SDKs for Python, TypeScript, .NET, Rust, and Go and uses the MIT license.
- agent-governance-toolkit is labeled Public Preview, with possible breaking changes before general availability; OpenWorkProof is described as actively developed and not archived.
Choose OpenWorkProof if you…
- need portable evidence that third parties can verify offline.
- want to keep execution, independent verification, and human acceptance as distinct steps.
- need an open protocol with CLI, Python API, MCP, GitHub Action, or AgentTeams integration paths.
Choose agent-governance-toolkit if you…
- need application-level policy checks that can allow, deny, or require approval for agent actions.
- want identity, audit, sandboxing, and execution controls across agent frameworks.
- need SDK options beyond Python, including TypeScript, .NET, Rust, or Go.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.