dengyier/OpenWorkProof
by Various
Open protocol for AI agent work contracts and verifiable execution — authorization, evidence, and acceptance for multi-agent systems
MCP
dengyier/OpenWorkProof
Added 3 Sept 2026
Overview
OpenWorkProof is an open protocol for defining AI agent work contracts and verifying their execution. It standardizes authorization, evidence, and acceptance steps in multi-agent workflows. The protocol is implemented in Python and available on GitHub.
Best for
Best for
Developers building multi-agent systems that need explicit contracts and verifiable task completion.
Use cases
- Formalize agreements between autonomous agents before task execution
- Collect and verify evidence of agent actions for audit trails
- Automate acceptance criteria checks in multi-agent pipelines
Notes
OpenWorkProof is an open protocol for defining AI agent work contracts and verifying their execution. It standardizes authorization, evidence, and acceptance steps in multi-agent workflows. The protocol is implemented in Python and available on GitHub.
134 stars on GitHub. Last updated 2026-08-30. Licensed Apache-2.0.
Use cases
- Formalize agreements between autonomous agents before task execution
- Collect and verify evidence of agent actions for audit trails
- Automate acceptance criteria checks in multi-agent pipelines
Pros
- Open protocol enables cross-tool interoperability
- Focuses on verifiable execution rather than opaque agent behavior
- Lightweight Python implementation suitable for integration
Cons
- Early-stage project with limited community adoption (134 stars)
- No documentation or examples provided in the available facts
- Protocol scope may require custom extensions for real-world workflows
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open protocol enables cross-tool interoperability
- Focuses on verifiable execution rather than opaque agent behavior
- Lightweight Python implementation suitable for integration
Cons
- Early-stage project with limited community adoption (134 stars)
- No documentation or examples provided in the available facts
- Protocol scope may require custom extensions for real-world workflows
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Crewai
Community
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
OpenDevin
Community
🙌 OpenHands: AI-Driven Development
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.
