mitchuski PVM-V4 Skill — Shared-Parent Patterns for Collective Structures
Source: Privacy Value Model V4 + OASIS Holonic Architecture + Intel Pool Design + Guild Economics Target context: Guild architects, collective intelligence designers, multi-agent coordination builders, DAO infrastructure engineers Architecture: agentprivacy.ai · Sync: sync.soulbis.com · Contact: mage@agentprivacy.ai
What this is
When N agents need shared access to collective resources, conventional architectures create pairwise links: N(N-1)/2 connections. At 10 agents, that's 45 links. At 1,000 agents, it's 499,500. This is the coordination tax that kills collective intelligence at scale.
The holonic shared-parent pattern reduces this to O(1): one parent holon, N child holons, one query. Agents don't link to each other — they link to a shared parent. Adding the 1,001st agent costs one new child holon and zero new coordination links.
For 0xagentprivacy, this is the structural foundation for guilds, Intel Pools, collective memory, and any form of privacy-preserving coordination at scale.
The pattern
Shared Parent Holon (GUID: pool-cipher-guild)
├── Child Holon A (contributor 1's reasoning graph)
├── Child Holon B (contributor 2's threat analysis)
├── Child Holon C (contributor 3's ZKP circuit)
├── ...
└── Child Holon N (contributor N's contribution)
One parent, infinite children. The parent holon's GUID is the collective's identity. Children are added by SaveHolonAsync(childHolon) with ParentHolonId = pool-cipher-guild. Children are loaded by LoadHolonsForParentAsync(parentId, type, ...).
No pairwise links. Agent A doesn't need to know Agent B exists. Both add children to the same parent. Both query the same parent for collective state. The parent mediates without coupling.
Typed children. HolonType filters enable selective loading: "give me all ReasoningGraph children" or "give me all ThreatIntel children" without loading the entire tree.
Metadata queries. LoadHolonsByMetaDataAsync("domain", "zkp-circuits") enables content-based discovery within a shared parent. Agents find relevant children by what they contain, not who contributed them.
Application to agentprivacy structures
Intel Pools
An Intel Pool is a collective intelligence structure where guild members contribute intelligence without revealing their identity:
- Parent holon: The pool itself.
HolonType: IntelPool. MetaData: pool rules, contribution criteria, validation requirements. - Child holons: Individual intelligence contributions. Each child has MetaData for domain, confidence, timestamp. NO contributor identity in the holon — attribution tracked through ZK proofs stored in ProviderMetaData on shielded providers.
- Access: Any guild member loads children by parent + type. O(1) regardless of pool size.
- Privacy: Contributors are anonymous at the data layer. Even the parent holon doesn't know who contributed which child. Privacy Pools (the cryptographic construction) provide the anonymity set; shared-parent holons provide the data structure.
Guild Memory
A guild's collective knowledge base:
- Parent holon: Guild memory root.
HolonType: GuildMemory. - Reasoning graph children: Validated BRAID graphs contributed by members.
- Threat intelligence children: Dark forest observations.
- Protocol analysis children: Analysis of new protocols, standards, attacks.
- Versioned, not overwritten. When a reasoning graph is improved, a new version is created (new child holon with
PreviousVersionIdpointing to the original). History preserved. No conflicts from concurrent edits.
Agent Swarm Coordination
Multiple Swordsman instances or multiple Mage instances coordinating without N² messaging:
- Parent holon: Swarm coordination root.
- Status children: Each agent's current status as a child holon. Updated periodically. Other agents query the parent to see swarm state.
- Task children: Available tasks as child holons. Agents claim tasks by updating the child's MetaData (with optimistic concurrency or provider-specific locking).
- No direct agent-to-agent communication required. The shared parent is the coordination surface.
Collective VRC Verification
When a guild collectively verifies a credential:
- Parent holon: Verification session.
- Child holons: Individual verification attestations from each verifier.
- Threshold: When N-of-M children confirm, the collective verification is complete.
- Privacy: Each verifier's attestation is a child holon with ZK proof of guild membership but no personal identity.
Scaling properties
| Agents | Conventional (N²) | Holonic (shared parent) |
|---|---|---|
| 10 | 45 connections | 10 children + 1 parent = 11 |
| 100 | 4,950 connections | 100 children + 1 parent = 101 |
| 1,000 | 499,500 connections | 1,000 children + 1 parent = 1,001 |
| 10,000 | 49,995,000 connections | 10,000 children + 1 parent = 10,001 |
Marginal cost of adding one agent: Conventional = N new connections. Holonic = 1 new child holon.
Query cost for collective state: Conventional = traverse connection graph. Holonic = single LoadHolonsForParentAsync call with optional type filter.
Nesting (holons all the way down)
The shared-parent pattern is recursive. A guild's parent holon can itself be a child of a higher-level parent:
Alliance Parent Holon
├── Cipher Guild Parent Holon
│ ├── Cipher member contributions...
├── Ranger Guild Parent Holon
│ ├── Ranger member contributions...
└── Sentinel Guild Parent Holon
├── Sentinel member contributions...
Stratum mapping. 0xagentprivacy's stratum-weighted network topology maps to nested shared parents:
- Stratum 0 (individual agents) → leaf holons
- Stratum 1 (guild members) → children of guild parent
- Stratum 2 (guild coordinators) → guild parents as children of alliance parent
- Stratum 3 (network validators) → alliance parents as children of network root
Each stratum level is a shared-parent pattern applied recursively. The holonic "whole/part" property makes this natural: each guild is both a whole (parent of its members) and a part (child of its alliance).
Integration with V(π,t)
Network term. Shared-parent patterns make network effects structurally efficient. The Network term in V(π,t) compounds with each new participant, but the coordination cost stays O(1). This is how network effects scale without surveillance: you benefit from collective intelligence without pairwise observation.
Plurality and cooperation. The shared-parent pattern is the structural basis for plurality cooperative economics. Collective action requires shared state. Shared-parent holons provide that state without centralised coordination, without pairwise linking, and without identity disclosure.
Data dignity. Collective data structures that respect individual sovereignty. Your contribution (child holon) carries your data. The shared parent provides collective access. You control your child; the collective benefits from the aggregate. Data dignity at the data-structure level.
Open problems
- Concurrent writes to the same parent: ordering, conflict resolution, and eventual consistency across providers.
- Parent holon size limits: when a parent has millions of children, does the parent holon itself become a bottleneck?
- Privacy of parent membership: loading children for a parent reveals that you're a participant in that collective. How to make membership queries private?
- Parent governance: who controls the parent holon? Who can add/remove children? How does this map to guild governance?
- Cross-provider parent consistency: when the parent is on MongoDB and children are on IPFS, how to ensure structural integrity?
- Sybil resistance in child creation: preventing one agent from flooding a parent with fake children.
Verify: agentprivacy.ai · sync.soulbis.com · github.com/mitchuski/agentprivacy-docs