Sovereign hubs
A school, village, neighbourhood, cooperative or region runs its own small-scale digital and energy infrastructure — and keeps running when it's on its own.
- Schools
- Villages
- Co-ops
- Regions
selfdriven Network/Infra Interface
Concept Paper - For Curiosity & Collaborative Design
A federated network of community-owned infrastructure — sovereign computing, distributed storage, regenerative energy and verified autonomous coordination. Communities stop being customers of infrastructure and become its participants, stewards and beneficiaries.
See the five layers Or jump to the first deploymentInfrastructure layers — energy, compute, storage, connectivity, and intelligence & governance
Every community is a sovereign hub — fully operational on its own, sharing only by choice
Phases — from one autonomous node, to a federated network, to regenerative infrastructure
Open specifications stewarded by the selfdriven Foundation — communities own the hardware and the data
The idea
Not from centralised cloud providers, not from a single energy system, and not at the cost of control over its data and intelligence. Each community operates its own infrastructure, and cooperates with others through selfdriven.network.
Local autonomy. Networked abundance. Regenerative by design.
Part of the Infra InterfaceA school, village, neighbourhood, cooperative or region runs its own small-scale digital and energy infrastructure — and keeps running when it's on its own.
Hubs voluntarily contribute and consume capacity across the network. The network gets stronger as participation grows, without one operator controlling everything.
Flexible computing, AI processing and backups run when clean local energy is abundant. Essential services and battery reserves are protected the rest of the time.
Each layer is independently replaceable. A community might start with compute and storage on ordinary grid electricity and add solar and batteries later. Another might contribute only storage, or only connectivity.
Participation shouldn't require buying an entire infrastructure stack.
Solar, wind where viable, batteries, energy monitoring, demand management and shared energy resources.
Interfaces · InfraLow-power servers, CPUs, GPUs, local AI models and workload scheduling.
Interfaces · Interfaces Node · AILocal encrypted files, databases, immutable archives and federated replication.
Interfaces · Attachment · EntityLocal networks, fibre, Wi-Fi mesh, Internet links and optional alternative connectivity.
Interfaces · selfdriven.tel · Handshakeselfdriven applications, identity, trusted agents, verified policies and community decision-making.
Interfaces · SSI · AI · HumanRather than maximising server utilisation at all times, the network optimises for community value per unit of resources consumed — connecting computational work to energy availability.
A grid-connected solar installation doesn't automatically keep services up in a blackout. Islanding needs properly engineered inverters, switching and protection, and in Australia operating a shared electricity network can bring regulatory obligations — see the AER regulatory sandbox via the Energy Innovation Toolkit.
Run flexible computing, AI processing and backups when clean local energy is abundant.
Octonomous agents schedule non-urgent work by energy, cost, demand and service commitments.
Protect battery reserves and essential services, defer optional work, or draw on available peer capacity.
Measure avoided emissions, extended equipment life, recovered heat and contributions to local ecological restoration.
Federation is the architectural differentiator. Each community keeps authority over its own infrastructure, and publishes a machine-readable statement of the resources it will share — and on what terms.
The declaration is a candidate high-level specification for OctoLang, not unrestricted executable configuration. An independent validator checks resource declarations, authority, policy conflicts and execution constraints.
community: school.community-a
network: selfdriven.network
resources:
compute:
available: 12
unit: cpu-core
storage:
available: 2000
unit: GB
policies:
data_residency: australia
priority: local_first
sharing: trusted_communities_only
carbon_preference: low_emissions
reserve_capacity: 30%
federation:
allow_remote_compute: true
allow_encrypted_backups: true
require_verified_workloads: true
A selfdriven.network scheduler negotiates workload placement only across communities that have consented to it.
Community A needs extra compute. Community B has declared spare capacity and renewable electricity.
Both sides check the applicable policies — residency, priority, reserve and trust — before any work is allocated.
Usage is recorded transparently, as the basis for settlement between communities.
Sharing compute doesn't mean sharing data. Private workloads need explicit trust boundaries, encryption, and potentially confidential computing or local-only execution.
Octonomous agents act as conductors over verified context and constrained controllers. The crucial separation is between intelligence and authority.
An agent could recommend moving a backup to another community while renewable energy is available. It can't override safety limits, consent requirements or electricity protection systems.
Discover requirements, forecast capacity, propose allocation and coordinate exchanges.
Describe assets, ownership, capacity, evidence, dependencies and trust relationships.
Expresses community-approved constraints, permissions, intentions and sharing agreements.
Execute validated operational actions within defined boundaries.
Records decisions, measurements, authorisations and outcomes.
An auditable path
The innovation is in the integration, the governance model and the regenerative coordination protocol — not in reinventing containers, databases or tunnels.
For sensitive data, replication is not a substitute for versioned, independently tested backups. Content addressing alone can't guarantee persistence either.
Docker or Podman; K3s for larger multi-server hubs, built for lightweight edge and ARM devices.
PostgreSQL, and SQLite for lightweight, offline-first services.
Garage — S3-compatible, aimed at smaller, geographically distributed clusters.
Encrypted, independently recoverable off-site backups.
WireGuard tunnels and local network routing.
Community-controlled credentials and hardware-backed keys, on W3C Verifiable Credentials 2.0 and the SSI Interface.
The Octonomous runtime, with verified controllers.
Signed measurements, event logs and validated context graphs.
The physical infrastructure is owned or controlled by the community itself — a cooperative, association, school, community trust or other suitable legal entity.
The economics combine community contributions, paid local services, reciprocal resource exchanges and grants for shared infrastructure. See the example Cooperative Infra Agreement.
The hardware, the energy systems and the data belong to the community's own legal entity.
The selfdriven Foundation stewards the open specifications, reference implementations, interoperability tests and trust framework — without owning any community's infrastructure or data.
Compute-hours, storage GB-months, energy use and network traffic. Settle directly, keep mutual-aid balances, or use optional tokenised settlement — the OCTO ecosystem may help coordinate, but no speculative token or public blockchain is required.
Governance stops well-resourced communities dominating weaker ones. Access to essential services doesn't depend on contributing hardware or electricity.
First practical deployment
The first pilot could run across three schools or community organisations, on their existing Internet connections and grid electricity. Energy infrastructure comes later, in a controlled and separately engineered stage.
Deploy a low-power server, encrypted storage, local selfdrivenOS services, identity, backup and monitoring — building on the Interfaces Node. Keep the node usable during Internet outages.
OutcomeOne community operates core digital services locally.
Connect three independent nodes. Demonstrate authenticated resource discovery, remote workloads, encrypted replication and recovery.
OutcomeCommunities exchange capacity without giving up autonomy.
Introduce solar and battery telemetry, carbon-aware workload scheduling, surplus-energy utilisation and verifiable regeneration reporting.
OutcomeDigital capacity adapts to available energy and ecological constraints.
The tests that matter most are the hard ones, not the happy path.
What makes this different
Longer term, the same trusted resource framework could coordinate water, food production, fabrication, transport and education.
Most decentralised infrastructure projects distribute servers, storage or consensus. This one also asks who owns the assets, who authorises their use, how energy is sourced, how resources are shared, how knowledge is retained — and whether the result strengthens the ecological and social environment around it.
The hard problems aren't technical.
Operational maintenance, cybersecurity, legal responsibility, long-term financing, equitable access and keeping services reliable through failure. The architecture has to address them from day one.
Roadmap & resources
This concept develops next into a formal selfdriven.network Architecture & Protocol v0.1 — the foundation for a working reference implementation.
What the next version will define.
What an autonomous community node runs, building on the Interfaces Node.
How hubs declare, discover and negotiate shared capacity.
Credentials, consent and the trust boundaries between communities.
Compute-hours, GB-months, energy and traffic — weighed against community and regenerative benefit.
How agents propose, policies constrain and controllers execute.
Where this fits across the selfdriven Network.