Patents

19/230,933: Cognition-Native Semantic Execution Platform for Distributed, Stateful, and Ethically-Constrained Agent Systems

Abstract: A cognition-native semantic execution platform is disclosed, comprising a modular architecture for executing memory-bearing semantic agents across centralized, decentralized, and heterogeneous computing environments. The system includes interoperable layers for agent modeling, memory-native substrate transport, scoped trust zone governance, dynamic identity resolution, and runtime ethical enforcement. Semantic agents carry structured fields including intent, context, memory, policy references, mutation descriptors, and lineage, enabling persistent identity, traceable behavior, and ethically governed semantic mutation. Trust validation is performed via entropy-resolved behavioral slope authentication rather than persistent credentials. Execution is policy-scoped and auditable through agent-embedded lineage graphs and cryptographically signed policy references. The platform supports fallback propagation in stateless environments and operates independently of transport topology, enabling scalable, transparent, and ethically constrained reasoning across distributed systems.

Filed: 2025-06-06, pending
Patent Cooperation Treaty #: PCT/US25/57111 (filed 2025-11-25)

19/326,036: Adaptive Network Framework For Modular, Dynamic, and Decentralized Systems

Abstract: A distributed indexing and resolution architecture is disclosed for decentralized systems requiring modular, trust-scoped mutation control and dynamic alias governance. The system comprises a plurality of index entries arranged in a parent-child hierarchy, each associated with a structured alias and governed by one or more anchor nodes. Anchors perform localized resolution, mutation validation, and restructuring operations under deterministic policy constraints, enabling semantic scope enforcement and entropy-sensitive adaptation without requiring global consensus or centralized control. The architecture supports scoped alias traversal, asynchronous mutation proposals, and elastic anchor registration based on system state metrics. The indexing substrate may be integrated into heterogeneous infrastructures, including systems comprising distributed software agents, semantic execution platforms, or pseudonymous identity frameworks. Anchors coordinate within defined trust domains to ensure lineage continuity, dynamic rekeying, and semantic integrity across independently governed segments of a decentralized namespace.

Filed: 2025-09-11, pending
Patent Cooperation Treaty #: PCT/US25/57196 (filed 2025-11-26)
USPTO Publication: US 2026/0010525 A1 (published 2026-01-08)

19/366,760: Cognition-Compatible Network Substrate and Memory-Native Protocol Stack

Abstract: A computer-implemented system and method for distributed memory-native networking using agents. Each agent comprises a unique identifier, payload, memory field containing lineage and policy references, transport metadata, and a cryptographic signature. A modular protocol stack processes these agents through routing, indexing, and consensus layers, with behavior determined by embedded memory. Routing decisions are trust-scoped based on memory-derived access logs and health feedback. Mutation proposals are validated using dynamic, memory-referenced quorum formation. The system enables stateful, policy-bound propagation, structural reorganization, and adaptive execution without centralized coordination or persistent session state. It operates over conventional transport protocols and supports interoperability with cognition-layer payloads, including semantic execution. The architecture allows dynamic trust modeling, autonomous network adaptation, and memory-driven mutation governance across heterogeneous, decentralized, and high-latency environments.

Filed: 2025-10-23, pending
Patent Cooperation Treaty #: PCT/US25/57247 (filed 2025-11-26)
USPTO Publication: US 2026/0052096 A1 (published 2026-02-19)

19/388,580: Systems and Methods for Memory-Native Identity and Authentication

Abstract: Memory-native authentication in distributed environments is provided in which agents and devices form dynamic identities as successors along a trust slope using locally retained unpredictability and policy context, without persistent private keys. A Dynamic Agent Hash (DAH) and a Dynamic Device Hash (DDH) are computed from a prior state and either a hardware-anchor with volatile salt or a stability-tuned local state vector processed by a strong extractor, or a hybrid thereof. Messages employ two-stage validation: a header DAH for transport continuity and an embedded sender DAH inside the encrypted payload, where the symmetric key is derived from the recipient’s current DAH/DDH. Agent mutations are entangled to host DDHs and recorded in an append-only lineage with periodic anchors, enabling delayed and sparse verification, predictive drift detection, entropy-anchor rotation, and quorum-based recovery after memory loss. An isolated fallback identifier supports legacy PKI interoperability.

Filed: 2025-11-13, pending
Patent Cooperation Treaty #: PCT/US25/57270 (filed 2025-11-26)
USPTO Publication: US 2026/0081772 A1 (published 2026-03-19)

19/452,651: Cognition-Compatible Semantic Agent Objects with Structural Validation, Partial Agent Support, and Traceable Semantic Lineage

Abstract: Systems and methods are disclosed for defining cognition-compatible semantic agent objects structured to support memory-bearing, policy-governed, and traceable semantic execution. Each semantic agent object comprises one or more canonical semantic fields including an intent field, a context block, a memory field, a policy reference field, a mutation descriptor field, and a lineage field. Structural validation is performed at the data-object level based on field presence and coherence, independent of any particular execution environment. Partial semantic agents comprising subsets of canonical fields are supported through deterministic fallback inference and structural scaffolding. Authorized mutation pathways are governed jointly by mutation descriptors and policies identified by the policy reference field, while lineage fields preserve provenance and continuity across agent evolution. Semantic agent objects are serializable and operable across stateless and distributed computing environments, enabling decentralized semantic execution, governance enforcement, and auditability without reliance on centralized orchestration or persistent runtime state.

Filed: 2026-1-19, pending
Patent Cooperation Treaty #: PCT/US26/23434 (filed 2026-04-13)

19/538,221: Memory-Resident Execution of Persistent Executable Objects In Distributed Computing Systems

Abstract: A computer-implemented method and system for executing semantic computation in distributed computing environments. Each computational task is instantiated as a persistent executable object comprising an intent field, a context block, and a memory field that stores execution history. The persistent executable object propagates among execution nodes, each of which independently evaluates the object based on embedded intent, context, memory, and locally applied policy. Execution actions including execution, mutation, delegation, dormancy, reentry, and termination are determined without centralized orchestration. Execution outcomes are appended to the memory field, enabling execution continuity across asynchronous execution cycles. Compositional delegation, policy-bound evaluation, and memory-resident execution state enable adaptive, distributed execution across heterogeneous environments without reliance on external schedulers, centralized controllers, or session-bound runtime state.

Filed: 2026-2-12, pending
Patent Cooperation Treaty #: PCT/US26/23443 (filed 2026-04-13)

19/561,229: Cryptographically Enforced Governance for Autonomous Agents And Distributed Execution Environments

Abstract: Systems and methods are disclosed for cryptographically enforced governance of autonomous agents operating across distributed execution environments. Governance authority is externalized into policy objects that are resolved via canonical aliases and cryptographically verified prior to permitting execution, mutation, delegation, or propagation. A governance gate deterministically conditions instantiation of an execution context on successful verification and on authorization under applicable policy objects, wherein failure results in non-execution as a valid system outcome. The disclosed architecture supports freshness, revocation, and anti-rollback controls to prevent reliance on stale or superseded policy authority, lineage-constrained inheritance of constraints across agent evolution, quorum-based policy overrides with signature-chain continuity, and append-only audit records of governance-relevant events. Embodiments enable consistent enforcement across heterogeneous substrates, including cloud, edge, federated, and intermittently connected environments, and may support identity verification without persistent keypairs using continuity-based validation.

Filed: 2026-3-09, pending

19/647,395: Systems and Methods for Autonomous Agents with Persistent Cognitive State, Self-Regulated Execution, and Cross-Domain Behavioral Coherence

Abstract: A system and method for AI agent governance, inference-time execution control, and training governance maintains autonomous agents with persistent cognitive state coupled through a cross-domain coherence engine. Each agent carries independently tracked cognitive domain fields including affective state, normative integrity, execution confidence, and capability awareness, connected by bidirectional feedback pathways such that a state change in any domain propagates deterministic updates to coupled domains. A composite admissibility evaluator integrates signals from the cognitive domains to permit, gate, or suspend proposed actions. When execution readiness is insufficient, the agent transitions to a non-executing cognitive mode continuing speculative reasoning without committing state changes. A corrective loop detects normative deviation, records it in an immutable lineage, and generates restorative mutations. Execution outcomes feed back to a training governance module for depth-selective incorporation as training data. The agent carries its complete cognitive state across execution substrates without the substrate retaining authority over agent state.

Filed: 2026-04-14, pending

PCT/US26/22839: Systems and Methods for Autonomous Agents with Persistent Cognitive State, Self-Regulated Execution, and Cross-Domain Behavioral Coherence

Abstract: Autonomous agents with persistent cognitive state and self-regulated execution maintain semantic agents comprising a plurality of independently tracked cognitive domain fields coupled through a cross-domain coherence engine implementing bidirectional feedback pathways as defined coupling functions. The semantic agent carries its complete cognitive state such that execution substrates validate proposed state transitions without retaining authority over the agent's cognitive state. The coherence engine propagates state changes across coupled domains through deterministic coupling functions such that a change in any one domain produces computed updates in other domains. When composite evaluation across coupled domains indicates insufficient execution readiness, the agent transitions to a non-executing cognitive mode continuing speculative evaluation without committing state changes. A three-phase corrective loop detects normative deviation, records the deviation as immutable truth, and generates corrective pressure producing candidate restorative mutations. All mutations, evaluations, and domain updates are recorded in a lineage field enabling deterministic behavioral reconstruction.

Filed: 2026-04-08, pending

63/726,519: Adaptive Network Framework (ANF) for Modular, Dynamic, and Decentralized systems

63/787,082: AQ (Adaptive Query): A Programming Language and Cognitive Execution Layer for Distributed, Stateful AI

63/789,967: Cross-Domain Applications of the Adaptive Query Framework

63/800,515: Cognition-Native Semantic Execution Platform for Distributed, Stateful, and Ethically-Constrained Agent Systems

63/808,372: Entropy-Based Content Anchoring System with Slope-Governed Routing, Adaptive Caching, and Policy-Enforced Alias Resolution

63/808,539: Cognition-Native Semantic Execution Platform with Emotionally Modulated, Slope-Validated Agents

63/810,666: Cognition-Native Semantic Execution Platform with Trait-Based Planning Modulation, Slope-Constrained Mutation, and Executive Graph Aggregation for Memory-Bearing Semantic Agents

63/827,301: Cognition-Native Semantic Execution Platform Incorporating Empathy-Weighted Integrity Modeling, Deviation-Based Mutation Control, and Deterministic Moral Trajectory Forecasting for Ethically Evolving AI Agents

63/926,122: Systems and Methods for Large-Language-Model-Driven Mutation, Evaluation, and Gating of Persistent Semantic Agents

63/957,729: Continuity-Based Biological Identity Using Trust-Slope Validation

63/962,013: Systems and Methods for Capability-, Time-, and Uncertainty-Aware Execution in Autonomous Computational Networks

63/964,715: Confidence-Governed Execution for Cognition-Native Semantic Agents

63/978,324: Inference-Time Semantic Execution Control for Machine Learning Systems

64/049,409: Governed Spatial Mesh for Physical-World Perception, Coordination, and Actuation