goblins
Distributed object capability system (6.5K lines info).
When & Why to Use This Skill
Goblins is a sophisticated distributed object capability (OCap) system designed for building secure, decentralized software architectures. It leverages the actor model and the OCapN protocol to facilitate secure peer-to-peer communication and distributed state management. By treating actors as autopoietic systems and integrating principles of Active Inference and Category Theory, Goblins provides a robust framework for creating resilient, self-maintaining agentic environments with compositional coherence.
Use Cases
- Secure P2P Networking: Establishing encrypted, capability-based communication between distributed nodes using the OCapN protocol.
- Distributed Actor Systems: Implementing complex systems where actors maintain local state and interact asynchronously across different 'vats' or processes.
- Agentic AI Infrastructure: Building AI agents that utilize Active Inference for state maintenance and prediction error minimization within a distributed framework.
- Decentralized Security Models: Designing applications that enforce security through object capabilities rather than centralized access control lists (ACLs), adhering to the principle of least privilege.
- Scientific Computing Integration: Utilizing mathematical triads and graph theory (via networkx) to ensure structural integrity in distributed computational models.
| name | goblins |
|---|---|
| description | Distributed object capability system (6.5K lines info). |
| version | 1.0.0 |
goblins
Distributed object capability system (6.5K lines info).
bmorphism Contributions
"Autopoiesis refers to the self-maintenance of a system, where the system is capable of reproducing and maintaining itself." — vibes.lol gist
Goblins as Autopoietic Agents: Each Goblins actor is an autopoietic system — it maintains its own state via bcom (become), reproducing itself with updated behavior. This embodies the self-maintenance principle at the core of cognitive architecture.
Active Inference via CapTP: The OCapN protocol implements distributed Active Inference in String Diagrams where:
- Sturdyref → Reference to external world (perception)
<-async call → Action that generates expected sensory response- Promise resolution → Prediction error minimization
GF(3) in Actor Triads: Actor systems naturally form triads: sender (+1, generator) → message (0, coordinator) → receiver (-1, validator). The async semantics preserve GF(3) conservation across distributed computation.
Model
peer → vat → actormap → {refr: behavior}
Operators
($ obj method args...) ; Sync (near only)
(<- obj method args...) ; Async (near/far)
Vat
(define vat (spawn-vat))
(define greeter
(vat-spawn vat
(lambda (bcom)
(lambda (name)
(format #f "Hello, ~a!" name)))))
($ greeter "World") ; => "Hello, World!"
OCapN
Object Capability Network for secure p2p via CapTP.
Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
Graph Theory
- networkx [○] via bicomodule
- Universal graph hub
Bibliography References
general: 734 citations in bib.duckdb
Cat# Integration
This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
GF(3) Naturality
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.