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docs(adr): ADR-255 ruvector <-> OIA Model integration (alignment profile)
Grounded in a deep-research brief over agenticsorg/OIA-Model v0.1: maps OIA's 10 layers (L0-L9) + 6 spans to ruvector components, decides a non-binding alignment profile (ruvector as an L3 + L5-L8 provider), designates the RVF cognitive container as the L8 artifact and the witness chain as the SPAN-AUD/PRV primitive, and explicitly scopes out L0/L1/L9/L4-pretraining + the GCP-portability gap. Stays doc/tag-level — no OIA dependency, no API rename — because OIA is pre-1.0 with no machine-readable conformance. Co-Authored-By: claude-flow <ruv@ruv.net>
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---
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adr: 255
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title: "ruvector ↔ OIA Model integration — alignment profile for the Open Intelligence Architecture (v0.1)"
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status: proposed
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date: 2026-06-16
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authors: [ruvnet, claude-flow]
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related: [ADR-122, ADR-134, ADR-074, ADR-155, ADR-193, ADR-251]
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tags: [oia, reference-architecture, integration, provenance, witness-chain, rvf, mcp, sona, interoperability, standards]
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---
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# ADR-255 — ruvector ↔ OIA Model integration (Open Intelligence Architecture v0.1)
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> **Maturity caveat (read first).** The OIA Model
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> ([agenticsorg/OIA-Model](https://github.com/agenticsorg/OIA-Model)) is **v0.1**
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> and self-describes as "an interactive review and implementation workspace,"
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> not a finalized standard. It has **no machine-readable conformance schema, no
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> registry, no versioning SLA** — its conformance instrument is a human
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> COHERENT/GAP/NOT-YET/N-A rating embedded in a React UI. Any "OIA conformance"
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> claim today is therefore **narrative, not verifiable**. This ADR decides a
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> *non-binding alignment profile*, deliberately avoiding committing ruvector's
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> public APIs to OIA layer semantics before OIA reaches ≥ v1.0.
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## Context
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The **Open Intelligence Architecture (OIA)** is the Agentics Foundation's
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reference architecture for enterprise intelligent systems (MIT-licensed, ©2026).
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It defines (per `src/content/layers.ts` + `docs/OIA-Model-v0.1-Digest.md`):
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- **Ten layers, L0–L9** — physical compute at the bottom, human/browser interface
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at the top, with **two state-holding layers (L3 Agent Data Substrate, L8
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Continuity Fabric)** bracketing the operational core (L4–L7). The L3/L8
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asymmetry (substrate vs active fabric) is a deliberate design statement
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(Decision 03/05).
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- **Six cross-layer spans** (concern classes, not APIs): SPAN-SEC, SPAN-SOV,
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SPAN-AUD, SPAN-IDN, SPAN-ENG, SPAN-PRV.
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- L7 explicitly names **Model Context Protocol (MCP)** as the reference
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interoperability protocol; L8 explicitly names **witness chains** and
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"cognitive-state sovereignty."
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ruvector already implements much of the operational/state core. The question is
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*where ruvector fits in an OIA-conformant stack* and *what to publish* so others
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can integrate it, without over-claiming.
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### Layer → ruvector mapping (from the codebase; evidence H/M/L)
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| OIA Layer | ruvector component(s) | Coverage |
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|---|---|---|
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| L0 Physical Compute | ruvix (bare-metal ARM), agentic-robotics-embedded | M (no energy/facility/supply-chain plane) |
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| L1 Silicon Abstraction | SIMD/AVX-512 feature flags, WASM targets | H portability / no ISA attestation |
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| L2 Sovereign Infrastructure | mcp-brain-server on Cloud Run, GCS/Firestore, DP engine (ε=1.0) | H but **GCP-specific** |
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| **L3 Agent Data Substrate** | ruvector-core (HNSW + redb + memmap), RVF manifest (TLV level0/level1), RaBitQ/DiskANN/IVF, BrainMemory provenance fields | **H — strong** |
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| L4 Model Training & Adaptation | SONA (two-tier LoRA, EWC++, ReasoningBank), federated LoRA (Gate A/B aggregation) | H **adaptation only** — no pre-training/eval gates |
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| **L5 Inference & Retrieval** | HNSW ANN, RaBitQ, router crates, ranking engine + GWT attention rerank | **H — strong** |
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| **L6 Context & Knowledge** | mcp-brain-server KnowledgeGraph (PPR + MinCut + sparsifier), Brainpedia lifecycle, Common-Crawl/RSS ingest, drift monitoring | **H — strong** |
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| **L7 Orchestration & Workflow** | MCP server surface (OIA-named protocol), rvf-adapters (claude-flow/agentdb/agentic-flow), AgiContainer tool registry | **H — MCP-native** |
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| **L8 Continuity Fabric** | RVF cognitive container (AgiContainerBuilder), witness chain (rvf-crypto, SHAKE-256 linked), SONA EWC++, emergent-time | **H — strong** (research-tier in parts) |
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| L9 Human & Browser Interface | ui/ruvocal (SvelteKit), SSE streaming, voice | M thin (no consent/handoff/accessibility) |
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ruvector is strongest exactly where OIA's operational + state core lives:
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**L3, L5, L6, L7, L8** — and weak at the edges OIA leaves to infrastructure/UX
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(L0/L1/L9) and at full L4 (pre-training).
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## Decision
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Adopt a **non-binding OIA alignment profile** for ruvector. Concretely:
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1. **Position ruvector as an L3 + L5–L8 provider** in OIA-framed materials, with
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explicit "out of scope" notes for L0/L1 (infrastructure), L2 portability
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(GCP-specific today), L4 pre-training, and L9 UX.
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2. **Designate the RVF cognitive container as ruvector's reference L8 artifact.**
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`AgiContainerBuilder` already bundles model pinning, governance/coherence/
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authority config, MCP tool registry, witness chain, skill library, and replay
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script in one signed binary — the closest existing match to OIA L8. Publish an
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`oia-l8-profile` mapping (TLV tag range in the RVF Level-1 namespace) — **doc
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+ tag reservation, no engine change**.
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3. **Designate the witness chain as the SPAN-AUD / SPAN-PRV primitive.** Define a
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`witness_type` registry mapping OIA action categories (inference, grounding
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retrieval, orchestration step, continuity checkpoint) to the existing
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`witness_type` byte. Reuses ADR-134 witness work; doc-level.
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4. **Expose mcp-brain-server as the L6 grounding service** via an OIA-framed
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response envelope (`/v1/oia/context` wrapping `brain_search` + GWT rerank +
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citation pass-through) — ~150-line additive route, optional.
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5. **Surface the MCP tool registry as the L7 connector** (`oia-l7.json` schema
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referencing the existing MCP surface) and the federated-LoRA endpoints
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(`/v1/lora/submit`, `/v1/lora/latest`) as L4-adaptation interfaces — doc-level,
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no code change.
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6. **Do NOT** claim machine-verifiable OIA conformance, **do NOT** rename or
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re-shape existing public APIs to OIA terms, and **do NOT** take an OIA
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dependency in any crate. The alignment lives in documentation + reserved
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tags/schemas until OIA ships a real conformance spec.
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The deliverable is an **alignment document + reserved RVF tag ranges/schemas**,
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not a refactor. Integration points 2–5 are independently shippable, lowest-risk
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first (the L8 container profile and witness-type registry are pure
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documentation/tag reservation).
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## Consequences
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### Positive
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- Clear, honest positioning of ruvector within a recognized layer taxonomy —
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useful for vendor/RFP/architecture-review conversations OIA targets.
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- The highest-value integrations are **doc-only or additive** (L8 container
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profile, witness-type registry, L6 envelope) — near-zero blast radius.
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- ruvector's existing strengths (RVF provenance, witness chain, MCP-native
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orchestration, SONA adaptation) map cleanly onto OIA's L3/L7/L8 — little new
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to build, mostly to *describe*.
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- Reuses prior decisions: ADR-122 (RVF container), ADR-134 (witness chain),
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ADR-074 (SONA), ADR-155 (rulake dispatcher).
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### Negative
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- **OIA is pre-1.0 and volatile.** A v0.2+ conformance model could invalidate
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this profile; mitigated by keeping it non-binding and out of code.
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- **No machine-checkable conformance** — alignment is narrative; we cannot
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certify, only map.
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- **Genuine gaps** ruvector does not cover: L0/L1 (no energy-sovereignty/ISA
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attestation), L2 portability (GCP lock-in vs OIA's portability intent), L4
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pre-training + eval gates, L9 consent/handoff/accessibility, SPAN-IDN (no
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formal agent-identity framework). These must be stated as "relies on external
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infrastructure," not papered over.
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- Some L8 pieces (emergent-time integration) are research-tier (`dead_code`/
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lint-relaxed); the L8 claim is "strong but maturing," not production-frozen.
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### Neutral
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- No new runtime dependency; OIA stays an external reference, ruvector stays
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self-contained. The profile can be withdrawn if OIA stalls.
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## Links
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- OIA Model: [agenticsorg/OIA-Model](https://github.com/agenticsorg/OIA-Model) ·
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[v0.1 Digest](https://github.com/agenticsorg/OIA-Model/blob/main/docs/OIA-Model-v0.1-Digest.md) ·
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live: oia.agentics.org
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- ruvector: ADR-122 (RVF cognitive container), ADR-134 (witness chain),
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ADR-074 (SONA), ADR-155 (rulake dispatcher), ADR-193 (rairs IVF),
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ADR-251 (emergent-time)
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- Source of mapping: deep-research brief over OIA `src/content/layers.ts` +
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digests and the ruvector codebase (rvf-runtime/agi_container.rs,
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rvf-crypto/witness.rs, mcp-brain-server/{graph,types}.rs, sona).

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