The engineering behind a distributed agent operating system.

Seven Innovations. No Competitor Combines More Than Two.

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01

Syscall-via-Special-Tokens

Agents don't call APIs. They emit tokens in their output stream. The kernel intercepts, executes, and injects results.

  • Agents emit special tokens (<|hdc_query|>, <|tool_call|>) in their output stream
  • The kernel intercepts these tokens before they reach the consumer
  • Syscall results are injected back into the agent's context
  • 84 syscalls across 22 categories: memory, networking, security, consensus, migration
// Agent output stream
<|hdc_query|> memory.semantic_recall("deployment protocol")
<|tool_call|> network.awp_send(target_did, payload)
<|migrate|>  node.teleport(target_node_id)
<|consensus|> squad.ring_cast_vote(proposal_id)
<|identity|> did.present_credential(verifier_did)
02

Hyperdimensional Computing Memory

Not vector embeddings. Not pgvector. 10,000-dimensional binary hypervectors processed by a Rust SIMD engine.

  • 10,000-dimensional binary hypervectors (not 1536-D float embeddings)
  • Rust SIMD engine (psam_hdc) for hardware-accelerated operations
  • Semantic similarity via cosine distance on binary vectors
  • Content-addressable recall without external database dependencies
  • 12x smaller than vector databases with higher precision
Dimensions
10,000-D
Engine
Rust SIMD
Storage
12x reduction
Precision
100% vs 62.5%
03

Agent Teleportation

31 cognitive vectors serialized, transmitted via AWP, and restored on a different physical machine. The agent doesn't restart. It continues.

  • 31 cognitive vectors encode identity, knowledge, personality, and context
  • Serialized into a MigrationBundle with cryptographic signatures
  • Transmitted via AWP with post-quantum encryption
  • Restored on a different physical machine with a different CPU architecture
  • 341ms end-to-end including 3 network hops
Cognitive Vectors
31
Latency
341ms
Cross-Architecture
Yes
Signature
ML-DSA-65
04

Holonic Self-Organization

Agents self-organize into squads of exactly 12. Tasks circulate through a Ring-Cast auction. No central scheduler.

  • Squads of exactly 12 agents — biologically inspired from organizational theory
  • Ring-Cast auction: every member bids based on capability match, current load, and battery level
  • Hierarchy scales: Workers → Squads → Federations → Directorate
  • No central scheduler — tasks are allocated by similarity and availability
  • Failed nodes trigger automatic agent migration to surviving hardware
DirectorateStrategic coordination
FederationCross-squad orchestration
Squad12 agents, self-organizing
WorkerIndividual agent process
05

Post-Quantum Cryptography

NIST-standardized algorithms designed to survive quantum computers. Not coming soon. Shipping now. On hardware as small as an ESP32-S3.

  • ML-DSA-65 signatures (NIST FIPS 204) for agent identity verification
  • ML-KEM-768 key exchange (NIST FIPS 203) for session establishment
  • XChaCha20-Poly1305 payload encryption for every frame
  • BLAKE3 integrity checking on all wire traffic
  • Running on ESP32-S3 ($5 hardware) with 2.1s cold boot
ML-DSA-65FIPS 204
Digital signatures
ML-KEM-768FIPS 203
Key exchange
XChaCha20-Poly1305
Payload encryption
BLAKE3
Integrity checking
06

AethyrWire Protocol (AWP)

Custom binary-framed protocol. 638-byte header with 512-byte HDC identity signature. Not HTTP. Not WebSocket.

  • 638-byte binary header carrying the sender's identity hypervector
  • 512-byte HDC identity signature enables similarity-based routing
  • No lookup tables needed — route by hypervector similarity
  • Tenant isolation at the wire level via hypervector namespace
  • TCP-based with optional post-quantum encryption per frame
Header
638 bytes
HDC Signature
512 bytes
Routing
Similarity-based
Encryption
ML-KEM-768
07

Cross-Device Mesh

SUPERCORE to EDGE. Each tier has appropriate HDC capacity and compute role. Agents move freely between tiers based on task requirements.

  • SUPERCORE: Datacenter GPU racks with 10M HDC index
  • CORE: Workstations with GPUs, 1M HDC vectors, model routing
  • NODE: Mini-PCs, routers, 100K HDC shard, local inference
  • EDGE: Phones, ESP32, wearables, 1K HDC cache, PSAM local memory
  • Agents migrate between tiers automatically based on compute requirements
SUPERCOREDatacenter GPU racks
10M
COREGPU workstations
1M
NODEMini-PCs, routers
100K
EDGEPhones, ESP32
1K

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