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UAICP/uaicp_specification

UAICP Specification (v0.2)

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UAICP stands for Universal Agent Integrity & Control Protocol.

UAICP is an open reliability contract for agentic workflow execution. It standardizes a control layer that forces systems to be correct or explicitly uncertain.

UAICP is an open-source contribution initiated by Prismworks AI (prismworks.ai) and developed with community contributions.

v0.2 Release Scope

  • baseline specification and invariant model
  • schema contracts for envelope, evidence, and verification report
  • executable baseline conformance harness (npm test)
  • adapter contract and framework integration guidance
  • reference implementation primitives and finance workflow comparison

Practitioner Start Path

  1. Read the core specification
  2. Implement the adapter contract
  3. Validate with compliance tests and npm test
  4. Compare behavior with the finance workflow reference fixture

Why UAICP Is a Separate Layer

UAICP is intentionally decoupled from frameworks such as LangGraph, Microsoft Agent Framework style runtimes, AutoGen, CrewAI, and OpenAI Agents SDK.

Frameworks handle orchestration mechanics. UAICP handles deterministic reliability governance.

How UAICP Integrates

  1. map framework context into UAICP envelope
  2. normalize runtime artifacts into evidence objects
  3. run verifier checks
  4. run policy gate checks before high-risk writes
  5. deliver only when required gates pass

Start in:

Contributor Tracking

Post-v0.2 enhancements are tracked in:

Repository Layout

  • docs/specification/ - protocol specification and rationale
  • docs/integration-guides/ - adapter contract and framework examples
  • docs/examples/ - workflow examples
  • schema/ - JSON schema contracts
  • tests/ - conformance test definitions

License

  • Code and repository artifacts: Apache-2.0
  • Specification docs and schema content: CC BY 4.0
  • Attribution details: see NOTICE

About

Universal AI Communication Protocol (UAICP) - An open specification for universal AI system communication and interoperability. Enabling seamless interaction between different AI systems, platforms, and services.

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