Thunk
Sovereign Personal AI
A cognitive architecture that runs entirely on your hardware. Your data stays yours. Your AI answers to you.
What is Thunk?
Thunk is the flagship application built on the Thinking System framework. It's a personal AI that combines local-first execution, verifiable behaviours, and a peer-to-peer fabric that belongs to everyone.
Unlike cloud-based AI services, Thunk runs on your own hardware. Your conversations, data, and cognitive processes remain under your exclusive control. There's no silent data collection, no training on your conversations, no third-party access.
Core Principles
Sovereignty
Autonomy over your processes and data. No external party can compel behaviour that contradicts your configured policies.
Transparency
All cognitive processes are introspectable and auditable. Every persistence decision is recorded with full provenance.
Modularity
Loosely coupled, independently verifiable components. Extend through Flows, WASM modules, and custom adapters.
Emergence
Complex behaviour from simple components. Intelligence emerges from composition, not monolithic models.
Visualising Thunk
Capabilities
Autonomous Code Synthesis
Generate, validate, and self-heal code from natural language specifications. The system iterates against a validation loop, repairing failures until it converges or exhausts its budget.
Structured Memory
Multi-tier memory with episodic, semantic, and short-term layers. All data carries bitemporal timestamps and provenance.
Declarative Workflows
Define reasoning patterns as Flows—graphs of semantic blocks transpiled to deterministic bytecode.
Policy-Governed Persistence
Only trusted Scribes can commit to long-term storage, each evaluating requests against programmable policies.
Peer-to-Peer Network
Optional participation in a peer-to-peer compute fabric (GTR-Fabric): a task marketplace with a reputation ledger and dynamic pricing. Contribute spare cycles and draw on distributed resources as the network grows.
Use Cases
Personal Assistant
Deploy on your personal hardware for a truly private assistant. Manage schedules, finances, health records—all under your exclusive control.
Enterprise
Each department deploys Scribes with specific governance policies. Cross-functional collaboration without compromising data sovereignty.
Development
Accelerate implementation with the generate-validate-heal loop. Natural language to working code with full provenance.
Research
Access decentralised compute for large-scale experiments. Publish results with cryptographic provenance.
Recommended Resources
- Recommended: 8+ cores, 32 GB RAM, 100 GB SSD. Local models run on Apple Silicon's GPU via Ollama; more RAM lets you run larger local models.
- Packaged app: macOS 12+ on Apple Silicon (arm64).
- From source: the Rust workspace builds and is CI-tested on Linux (x86_64) and macOS. Linux and Windows desktop packages are not yet shipped.