Sheaf Neural Networks for topological consensus.
Holoflux Oracle — verified AI inference through Sheaf consistency checks.
Post-quantum secure. AVX-512 native. Built on Java 25.
Dynamis is an Agentic Operating System — infrastructure for deploying, coordinating, and verifying autonomous AI agents at scale. It replaces the heuristic trust models used by current AI systems with mathematically proven consensus based on Sheaf Neural Networks and H⁰ Cohomology from algebraic topology.
The core innovation is the Sheaf Gatekeeper: a topological verification layer that detects semantic inconsistencies ("hallucinations of consensus") among distributed AI agents in real-time. When agents disagree, the system computes a Holonomy Defect on the Sheaf Laplacian — if the mathematics doesn't close, the network knows something is wrong, before any damage occurs.
Built on Java 25 with Panama FFM for native AVX-512 acceleration, Dynamis achieves 30,000+ topological verifications per second on standard cloud infrastructure (GCP C3/C4 instances). Agent policies are written in Rust, AssemblyScript, or Zig and compiled to WebAssembly for sandboxed, memory-safe execution. All cryptographic operations use post-quantum NIST Dilithium-3 signatures.
The project is founded on six original research papers in Category Theory, Topos Theory, and Topological Deep Learning, with Paper I published on Zenodo. Dynamis is developed by Cryptozoa, based in West Texas.
Four pavilions. One unified system for verified autonomous intelligence.
Meet the Topos Agents. Neuro-Symbolic AI that uses Sheaf Theory to detect its own confusion and self-correct.
Enter HallTrust as Fuel. Bond assets to reserve verification power. Zero-gas infrastructure for heavy workloads.
Enter BankThe Developer Workbench. Build with Java 25 + Panama FFM. Prove with TLA+. Deploy agents to WASM.
Enter FoundryVerified AI Inference. Agents query Foundation Models (Gemini, GPT, local ONNX) and every response is validated against the Sheaf Laplacian before commitment.
Enter OracleInfrastructure engineered for the convergence of AI and cryptographic trust.
Topological consensus via H⁰ Cohomology. Sheaf Neural Networks compute the Laplacian of agent interactions. Trust propagates through sheaf diffusion dynamics — the network self-heals.
Agents query Foundation Models (Gemini, GPT, local ONNX) and every response is checked for consistency against the Sheaf Laplacian. If an inference result contradicts the network's topological state, the Oracle computes a Holonomy Defect score and rejects it before commitment. Accepted results are written to immutable agent memory — permanent, tamper-proof shared state for agent swarms.
"Sarasate's Bow" — Panama FFM native Dilithium-3 at 14,625 verifications/sec. "The Aerotech" — Native BLAKE3 at ~2,000 MB/s. NIST FIPS 204 compliant, quantum-resistant signatures.
Write agent logic in Rust, AssemblyScript, or Zig. Compile to WebAssembly. Executed via GraalWasm JIT or Chicory pure-Java runtime. Memory-safe and sandboxed.
Deploy on AWS, Azure, GCP, or bare metal. AVX-512 optimized for Google Cloud C3 instances. Kubernetes-ready with Docker Compose templates.
1000Hz discrete ticks with nanosecond-resolution timestamps. BLAKE3-powered cryptographic clock provides deterministic ordering for agent coordination.
Capacity Bonding replaces gas fees. Bond assets to reserve verification power. Reputation across 5 actor types rewards long-term participation — up to 25% fee reduction.
Permanent on-chain inscriptions serve as shared memory for AI swarms. An agent cannot verify data and later "forget" it — the Sheaf topology enforces consistency over time.
Consumer protection and AI safety baked into the protocol layer.
Every transaction requires two factors: Passkey/Biometric authentication AND cryptographic signature. Private key theft alone can't compromise your agents.
Recover access via trusted guardians — friends, hardware devices, or AI agents. Social recovery with threshold signatures. No central authority required.
AI risk scoring delays suspicious transactions 4-72 hours. Emergency freeze stops attackers in their tracks. Mistakes can be cancelled before finality.
Autonomous agents detect malicious proposals and suspicious patterns. Risk scores above 90 trigger automatic holds. 24/7 topological anomaly detection.
Dynamis is built on a foundation of original research in Category Theory, Topological Deep Learning, and Formal Verification. Six papers spanning the mathematics of agency, trust, and computational invariance.
NIST Dilithium-3 signatures
Model-checked consensus
Topological consistency
Original mathematics
Built on Quarkus 3.30 + Java 25. Panama FFM for native cryptography. Write agent policies in Rust, AssemblyScript, or Zig. Deploy in minutes.
Panama FFM + Virtual Threads
WASM agent policies
AI/ML integration and training
Frontend and Node.js ready