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https://github.com/samuraiwriter7/multi-wing-standard-v0.2

Open draft standard for Multi-Wing distributed intelligence: wing types, Kazene coordination, trace-aware interoperability, JSON Schemas, and end-to-end scenario examples.
https://github.com/samuraiwriter7/multi-wing-standard-v0.2

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Open draft standard for Multi-Wing distributed intelligence: wing types, Kazene coordination, trace-aware interoperability, JSON Schemas, and end-to-end scenario examples.

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README 

          
# Multi-Wing Standard Specification



An open draft standard for distributed intelligence based on role-specialized Wings, Kazene coordination, shared context, trace-aware interoperability, and scenario-based coordination models.  

This repository defines the core architectural model, coordination principles, interaction protocol, shared context, trace lifecycle, interoperability profiles, and reference examples for Multi-Wing systems.  

Multi-Wing aims to provide a standardizable upper abstraction for distributed intelligence across structure, protocol, and execution layers.



---



## Status



**Repository status:** active draft specification  

**Latest draft:** `spec/multi-wing-standard-specification-v0.2.md`  

**Previous draft:** `spec/multi-wing-standard-specification-v0.1.md`



Multi-Wing v0.2 should be read as the **current operational draft**, while v0.1 remains the **baseline structural draft**.



In practical terms:



- **v0.1** defines the architectural foundation

- **v0.2** defines more of the coordination law



---



## Why Multi-Wing



Current AI systems often converge toward one of two extremes:



- monolithic centralization

- fragmented multi-agent experimentation without shared standards



Multi-Wing proposes a third path:



> **distributed intelligence with explicit role structure, coordination principles, trace-aware continuity, and interoperable execution**



The goal is not merely to build another agent framework, but to define a **portable architectural standard** for systems where multiple specialized units collaborate, adapt, verify, rebalance, and evolve together.



---



## What Multi-Wing Standardizes



Multi-Wing standardizes the minimum interoperable model for:



- **Wing types** and role specialization

- **Kazene-style coordination principles**

- **operational coordination semantics**

- **interaction flows** between Wings

- **shared context structures**

- **trace and provenance lifecycle hooks**

- **interoperability profiles**

- **execution-layer compatibility** for distributed inference and real-time deployment



This specification is designed to bridge three layers:



1. **Structure Layer**  

   Defines what kinds of Wings exist, how they relate, and how distributed intelligence is shaped.



2. **Protocol Layer**  

   Defines how Wings communicate, coordinate, revise, rebalance, escalate, and finalize outcomes.



3. **Execution Layer**  

   Defines how Multi-Wing systems can be mapped onto real runtime environments, including distributed inference, routing, degraded operation, and edge deployment.



---



## What Changed in v0.2



Compared with v0.1, v0.2 shifts Multi-Wing from a structural draft toward a more operational specification.



Key additions include:



- explicit **Kazene operational semantics**

- defined **Wing composition rules**

- a **Trace Lifecycle Model** across source introduction, proposal, assignment, execution, review, revision, rebalance, finalization, escalation, and archive / retention

- strengthened **Interoperability Profiles**, including `signed-trace` and `federated`

- clearer treatment of:

  - degraded operation

  - failure containment

  - rebalance behavior

  - authority trace

  - review-chain and revision-chain continuity

- **scenario-based examples** for end-to-end coordination flows



In short:



- **v0.1** described the architecture

- **v0.2** describes more of the governing dynamics



---



## Design Principles



Multi-Wing is built around the following design principles:



- **role differentiation over monolithic intelligence**

- **coordination over command**

- **traceability over opacity**

- **adaptation over rigidity**

- **distributed resilience over central fragility**

- **interoperability over ecosystem lock-in**

- **reviewability over silent authority**

- **bounded reconfiguration over uncontrolled drift**



At the conceptual level, Multi-Wing adopts a distributed intelligence view in which global intelligence emerges from local specialization, structured interaction, shared context, and dynamic balance.



---



## Core Concepts



### Wing

A **Wing** is a functional intelligence unit with a defined role, capability boundary, and coordination interface.



### Role

A **Role** defines the operational function of a Wing, such as generation, verification, routing, memory, governance, or interface mediation.



### Capability

A **Capability** is a declared competence a Wing can perform under defined constraints.



### Task

A **Task** is a unit of coordinated work that may involve one or more Wings.



### Shared Context

A **Shared Context** is the structured information space used for coordination, memory, references, and state continuity.



### Trace Reference

A **Trace Reference** is a provenance-aware reference object linking outputs to sources, contributions, revisions, reviews, or prior transformations.



### Kazene

**Kazene** refers to the coordination logic of dynamic balance, local interaction, emergence, structured reconfiguration, and trace-aware cooperation across Wings.



---



## Goals



The Multi-Wing Standard Specification aims to:



- define a stable core abstraction for distributed intelligence

- provide an interoperable model for role-specialized agent systems

- support trace-aware collaboration and accountable co-creation

- enable compatibility across different runtimes, transports, and orchestration layers

- establish a foundation for future governance, verification, federation, and value-allocation extensions



---



## Non-Goals



Multi-Wing does **not** attempt to fully standardize:



- model weights or training procedures

- a universal semantic theory of agent cognition

- a fixed economic settlement protocol

- a single mandatory transport layer

- a complete formal verification system

- a single vendor-controlled implementation stack

- a universal identity system



This specification focuses on the **minimum common structure** required for interoperability, coordination clarity, and extensibility.



---



## Repository Structure



```text

multi-wing-standard/

├─ README.md

├─ LICENSE

├─ CHANGELOG.md

├─ CONTRIBUTING.md

├─ CITATION.cff

├─ spec/

│  ├─ multi-wing-standard-specification-v0.1.md

│  └─ multi-wing-standard-specification-v0.2.md

├─ docs/

│  ├─ one-page-overview.md

│  ├─ architecture-overview.md

│  ├─ wing-type-system.md

│  ├─ kazene-coordination-principles.md

│  ├─ kazene-operational-semantics.md

│  ├─ wing-composition-rules.md

│  ├─ trace-lifecycle-model.md

│  ├─ interoperability-profiles.md

│  └─ relationship-to-mcp-a2a.md

├─ schemas/

│  ├─ wing-type.schema.json

│  ├─ message-envelope.schema.json

│  ├─ shared-context.schema.json

│  └─ trace-reference.schema.json

├─ examples/

│  ├─ wing-type.sample.json

│  ├─ message-envelope.sample.json

│  ├─ shared-context.sample.json

│  ├─ trace-reference.sample.json

│  └─ scenarios/

│     ├─ minimal-session.sample.json

│     ├─ review-loop.sample.json

│     └─ trace-integrated.sample.json

└─ .github/

   ├─ workflows/

   │  └─ validate-specs.yml

   └─ ISSUE_TEMPLATE/

      ├─ bug_report.md

      ├─ feature_request.md

      └─ spec_change.md

```



### Key Areas



- `spec/`  

  Canonical specification texts. v0.2 is the current operational draft; v0.1 remains available as the baseline structural draft.



- `docs/`  

  Supporting architectural, operational, compositional, trace, and interoperability documents.



- `schemas/`  

  JSON Schemas for core structural objects.



- `examples/`  

  Atomic schema-aligned sample objects for Wings, messages, shared context, and trace references.



- `examples/scenarios/`  

  Informative composite scenarios illustrating end-to-end coordination flows such as minimal sessions, review loops, and trace-integrated workflows.



---



## Start Here



If you are new to this repository, read in the following order:



1. `docs/one-page-overview.md`  

   A concise introduction to the overall idea and design intent.



2. `spec/multi-wing-standard-specification-v0.2.md`  

   The current operational draft and recommended primary entry point.



3. `docs/architecture-overview.md`  

   A higher-level explanation of the three-layer model.



4. `docs/wing-type-system.md`  

   Definitions of Wing categories and composition boundaries.



5. `docs/kazene-coordination-principles.md`  

   The conceptual coordination philosophy of Multi-Wing.



6. `docs/kazene-operational-semantics.md`  

   The operational state model, rebalance conditions, escalation triggers, and failure semantics of Kazene.



7. `docs/wing-composition-rules.md`  

   Recommended, risky, guarded, and prohibited composition patterns across Wings.



8. `docs/trace-lifecycle-model.md`  

   Trace obligations across source introduction, proposal, assignment, execution, review, revision, rebalance, finalization, escalation, and archive / retention.



9. `docs/interoperability-profiles.md`  

   Profile-based compatibility guidance, including v0.2-oriented extensions such as `signed-trace` and `federated`.



10. `docs/relationship-to-mcp-a2a.md`  

    Notes on architectural alignment with adjacent protocol ecosystems.



11. `examples/`  

    Atomic schema-aligned examples for individual structural elements.



12. `examples/scenarios/`  

    Informative end-to-end coordination scenarios.



For historical comparison or baseline reference, see:



- `spec/multi-wing-standard-specification-v0.1.md`



---



## Draft Positioning



The repository currently maintains two draft layers:



### v0.1 — Baseline Structural Draft

v0.1 establishes the initial architectural frame of Multi-Wing, including:



- the three-layer model

- the core Wing model

- the initial type system

- the first interoperability framing

- the base trace-aware structure



### v0.2 — Current Operational Draft

v0.2 extends that foundation by making Multi-Wing more operationally explicit, including:



- Kazene as coordination semantics rather than principle alone

- explicit coordination states and valid state transitions

- rebalance, escalation, degraded-mode, and failure-containment semantics

- Wing composition rules

- lifecycle-bound trace obligations

- stronger profile differentiation

- scenario-oriented interpretation of coordination flows



---



## Specification Scope



### v0.1 Focus

The baseline draft focuses on:



- Overview

- Terminology

- Core Model

- Wing Type System

- Coordination Principles

- Interaction Protocol

- Message Schema

- Shared Context

- Trace and Provenance

- Interoperability Profiles

- Security Considerations

- Conformance



### v0.2 Focus

The operational draft extends the above with:



- Kazene operational semantics

- Wing composition rules

- Trace lifecycle modeling

- stronger interoperability profile guidance

- explicit treatment of:

  - rebalance

  - escalation

  - degraded operation

  - authority trace

  - review-chain and revision-chain continuity

- scenario-oriented coordination interpretation



---



## Wing Type System



Multi-Wing assumes that intelligence becomes more robust when responsibilities are distributed explicitly.



Illustrative Wing categories include:



- **Generation Wings**  

  Produce drafts, hypotheses, or candidate outputs.



- **Verification Wings**  

  Check consistency, evidence, safety, and quality.



- **Routing / Coordination Wings**  

  Assign tasks, manage workflow transitions, rebalance paths, and maintain structured flow.



- **Memory / Context Wings**  

  Preserve continuity, retrieve references, and maintain shared context.



- **Governance / Audit Wings**  

  Track provenance, policy boundaries, and accountability hooks.



- **Interface Wings**  

  Mediate between external systems and the Multi-Wing field.



- **Composite Wings**  

  Combine multiple functions under controlled composition rules.



The formal type system is defined in `docs/wing-type-system.md` and the canonical specification drafts.



---



## Kazene Coordination



Kazene is the coordination kernel of Multi-Wing.



At the conceptual level, it refers to a distributed mode of collaboration characterized by:



- local interaction

- self-organization

- emergence

- hierarchy across scales

- dynamic balance

- adaptation and reconfiguration

- containment of failure without total collapse



At the operational level, Kazene is further clarified through:



- coordination states

- valid transition patterns

- rebalance conditions

- escalation triggers

- bounded failure propagation

- degraded-mode semantics

- trace-preserving transformation



This is what allows Multi-Wing to move from a descriptive model toward an operational one.



---



## Interaction Model



Multi-Wing systems are expected to support a structured interaction lifecycle such as:



1. **Discovery**

2. **Capability Advertisement**

3. **Proposal**

4. **Assignment**

5. **Execution**

6. **Review**

7. **Revision**

8. **Finalization**

9. **Escalation** (when necessary)



In v0.2-oriented interpretation, this lifecycle is no longer merely a sequence of labels.  

It is treated as an observable coordination law with role-bound responsibilities, path changes, and trace consequences.



---



## Shared Context Model



Distributed intelligence requires shared structure, not just message passing.



Multi-Wing therefore includes a shared context model for:



- state continuity

- task references

- intermediate artifacts

- provenance metadata

- blackboard-style coordination

- knowledge graph references

- freshness and conflict rules

- bounded access control

- context mutation visibility



This allows Wings to cooperate through structured memory rather than stateless exchange alone.



---



## Trace and Provenance



A core differentiator of Multi-Wing is that coordination can be **trace-aware**.



Trace integration supports:



- provenance-aware outputs

- contribution references

- review-chain continuity

- revision-chain continuity

- auditable chains of transformation

- signed event hooks

- dispute-resolution hooks

- future value-allocation extensions



In v0.2-oriented interpretation, trace is not just attached metadata.  

It is treated as part of the lifecycle law of coordination.



---



## Interoperability



Multi-Wing is designed as an **upper abstraction**, not an isolated stack.



It is intended to interoperate with:



- model-tool context protocols

- agent-to-agent coordination standards

- legacy multi-agent system concepts

- transport-independent runtime environments

- distributed inference and split execution systems



In practice, this means Multi-Wing can be used as:



- a conceptual coordination model

- a portable protocol layer

- a normalization layer between orchestration ecosystems

- a role-structured architecture for trace-aware distributed intelligence



See `docs/relationship-to-mcp-a2a.md` and `docs/interoperability-profiles.md` for more detail.



---



## Conformance



Multi-Wing is intended to support conformance testing.



A conforming implementation should be able to demonstrate:



- support for the required core concepts

- a valid Wing role model

- a structured interaction lifecycle

- support for shared context objects

- trace-compatible message or output structures

- profile declaration and version identification



Later drafts may define stricter conformance surfaces such as:



- **Minimal Profile**

- **Cooperative Profile**

- **Auditable Profile**

- **Edge / Real-Time Profile**

- **Enterprise Profile**

- **Signed-Trace Profile**

- **Federated Profile**



---



## Example Use Cases



Multi-Wing is relevant to systems such as:



- distributed research assistants

- trace-aware co-creation systems

- multi-agent review workflows

- real-time edge intelligence clusters

- governance-aware AI collaboration environments

- distributed expert networks

- auditable knowledge work systems

- federated specialist coordination systems



The repository includes two kinds of examples.



### Atomic Examples

Located in `examples/`, these provide schema-aligned sample objects for:



- Wing declarations

- message envelopes

- shared context objects

- trace references



These examples are intended for validation, implementation guidance, and object-level interoperability testing.



### Scenario Examples

Located in `examples/scenarios/`, these provide informative end-to-end coordination flows such as:



- `minimal-session.sample.json`  

  A minimal Multi-Wing flow with lightweight coordination and no independent review.



- `review-loop.sample.json`  

  A cooperative flow in which review changes the path of execution and triggers revision.



- `trace-integrated.sample.json`  

  An auditable flow with proposal, review, revision, finalization, and trace continuity across the lifecycle.



These scenarios are intended to show how the specification behaves as a coordination system rather than only as a set of isolated objects.



---



## Schemas



The `schemas/` directory contains JSON Schema definitions for core structural elements.



Current schema targets include:



- Wing type definitions

- message envelopes

- shared context objects

- trace references



These schemas are intended to support:



- implementation consistency

- machine validation

- future profile testing

- sample object verification



---



## Schema Usage



You can validate atomic sample files locally with standard JSON Schema tooling.



Example:



```bash

python -m pip install jsonschema

python - <<'PY'

import json

from jsonschema import validate



with open("schemas/message-envelope.schema.json", "r", encoding="utf-8") as f:

    schema = json.load(f)



with open("examples/message-envelope.sample.json", "r", encoding="utf-8") as f:

    sample = json.load(f)



validate(instance=sample, schema=schema)

print("Validation passed.")

PY

```



Repository-level validation may also be automated through `.github/workflows/validate-specs.yml`.



---



## Roadmap



### v0.1

- establish the core conceptual and structural model

- define the first interoperable draft

- publish schemas and examples

- provide compatibility notes with existing protocol ecosystems



### v0.2

- strengthen operational semantics

- define composition rules more explicitly

- expand trace lifecycle behavior

- clarify interoperability profile boundaries

- provide richer scenario-based examples



### v0.3+

- formalize registry structures

- introduce broader governance patterns

- strengthen real-time and federated deployment guidance

- define richer testing and reference workflow suites

- refine stronger conformance language



---



## Why GitHub



This repository is published on GitHub because standards require more than narrative explanation.



GitHub provides:



- version control

- transparent revision history

- issue-based discussion

- forkable reference implementations

- schema and example co-location

- public review and collaborative refinement



Articles, essays, and explanatory materials may exist elsewhere, but this repository is the canonical specification source.



---



## Contributing



Contributions are welcome.



This repository is a specification repository, so contributions should prioritize:



- clarity

- consistency

- interoperability

- testability

- extensibility

- accountability



Suggested contribution areas include:



- terminology refinement

- specification clarifications

- schema improvements

- example workflows

- interoperability mappings

- conformance language

- governance extensions

- security and failure-mode analysis



Please read `CONTRIBUTING.md` before opening a pull request.



For small editorial or schema-alignment fixes, a focused pull request is usually appropriate.  

For substantial changes to terminology, lifecycle behavior, core Wing types, schema expectations, profile boundaries, or conformance language, open an issue first so the proposal can be discussed before implementation work begins.



When opening a pull request, please describe:



- what changed

- why it changed

- whether the change is normative or informative

- whether schemas or examples were updated

- whether conformance implications exist



The goal is not only to improve the text, but to keep the specification structurally coherent as it evolves.



---



## Issue Types



You are encouraged to use GitHub Issues before opening larger changes, especially when the proposal affects the normative structure of the specification.



This repository provides three issue templates:



### 1. Bug report

Use this for problems such as:



- specification inconsistencies

- schema validation failures

- mismatches between schemas and examples

- ambiguous required field behavior

- broken references or version mismatches



### 2. Feature request

Use this for proposals such as:



- new examples

- new optional traits

- profile enhancements

- interoperability improvements

- documentation expansions

- non-breaking capability additions



### 3. Specification change

Use this for substantive changes affecting the standard itself, such as:



- terminology revisions

- lifecycle changes

- required message field changes

- Wing type changes

- conformance rule changes

- profile boundary changes



Suggested templates are provided in `.github/ISSUE_TEMPLATE/`.



When possible, include:



- the affected file or section

- whether the issue is normative or informative

- whether schemas or examples are impacted

- whether backward compatibility may be affected



This helps keep discussion precise and makes it easier to review changes at the right architectural level.



---



## Versioning Policy



This repository maintains multiple draft versions of the Multi-Wing specification.



- `v0.1.0` is the baseline structural draft

- `v0.2.0` is the current operational draft

- future drafts may refine conformance, trace depth, profile structure, and reference implementation guidance



Unless otherwise stated:



- the **latest draft** is the recommended reading target

- earlier drafts remain available for comparison and lineage tracking

- backward compatibility is not guaranteed before 1.0



The canonical version identifier should always appear in:



- the specification file name

- schema metadata

- example metadata

- profile declarations where applicable



---



## License



See `LICENSE` for licensing terms.



Unless otherwise stated, specification text, schemas, and examples are governed by the license declared in this repository.



---



## Citation



If you reference this repository in research, articles, or derivative specifications, please use `CITATION.cff`.



Preferred citation metadata should include:



- specification title

- version

- repository URL

- publication or release date

- authors / maintainers



---



## Related Documents



- `docs/one-page-overview.md`

- `docs/architecture-overview.md`

- `docs/wing-type-system.md`

- `docs/kazene-coordination-principles.md`

- `docs/kazene-operational-semantics.md`

- `docs/wing-composition-rules.md`

- `docs/trace-lifecycle-model.md`

- `docs/interoperability-profiles.md`

- `docs/relationship-to-mcp-a2a.md`



---



## Final Note



Multi-Wing is not merely a framework for connecting agents.



It is an attempt to define a **standardizable architecture for distributed intelligence** in which specialization, coordination, traceability, bounded adaptation, and resilience can coexist.



In that sense, Multi-Wing is both a technical specification and a proposal for how co-creation systems may remain open, interoperable, and structurally accountable as they scale.



## Keywords



distributed intelligence, multi-agent systems, co-creation, interoperability, coordination, provenance, trace-aware systems, distributed AI, execution-layer compatibility, standard specification