Cognition-Compatible Semantic Agent Objects and Structural Validation

The Problem: Orchestration-Bound Agents Cannot Carry Their Own Identity

In every dominant agent framework — LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI Assistants, Vertex Agents, Bedrock Agents, ROS2 behavior nodes — the agent's structural identity lives outside the agent. The agent itself is a configuration plus a running process; its memory is a row in a vector store, its policy is a flag on a service, its lineage is whatever the orchestration platform happens to log, and its mutation eligibility is implicit in whichever code path is currently executing. When the process terminates, the agent ceases to exist as a coherent object even when most of its component state has been written somewhere. When the process migrates to a different runtime, the agent must be reconstituted by recombining state from heterogeneous external systems whose contracts the agent itself did not establish. When two frameworks attempt to interoperate, the agents cannot be exchanged as objects — only as messages whose semantics each side must trust the other to interpret correctly.

This architecture imposes three structural costs. First, governability is delegated to whichever orchestrator happens to be hosting the agent at the moment, with no way to bind a policy to the agent itself such that the policy travels with it across hosts. Second, audit becomes a forensic-reconstruction problem: post-hoc reconciliation of logs from multiple systems whose timestamps, identifiers, and authority models do not align. Third, interoperability collapses into messaging — agents cannot be moved between vendors, between frameworks, between trust boundaries, or between operational contexts without losing their identity, their memory, or their governance constraints. Each of these costs grows superlinearly as the agent population scales and as the regulatory context (EU AI Act, NIS2, sectoral data-residency rules) demands per-agent governance with cryptographic traceability.

The architectural shift this primitive represents is the relocation of structural identity from the orchestrator to the agent object. An agent that carries its own intent, its own memory reference, its own policy binding, its own mutation descriptor, and its own lineage as typed fields of a self-validating object is governable, auditable, and portable independently of any runtime. The agent ceases to be a process and becomes a credentialed object. This is the same shift that occurred in document signing when identity moved from the file system to the document, in package management when versioning moved from the host to the manifest, and in container orchestration when state moved from the host to the image. The cognition-compatible agent schema applies the same shift to autonomous and semi-autonomous agents.

The Architectural Primitive: A Self-Validating Semantic Agent Object

A cognition-compatible semantic agent is a typed data object whose schema specifies a fixed set of canonical fields, each carrying a typed value or a typed reference, such that the object's structural validity can be evaluated deterministically by any party in possession of the schema and the object — without execution, without runtime introspection, and without consultation of any external registry. The defining elements that establish class membership are six in combination: a canonical-field schema specifying the typed slots an agent may carry; a deterministic structural-validation function operating on field presence and field compatibility against the schema and any referenced policy; an instantiation gate that prevents structurally invalid objects from becoming behavior; a mutation descriptor that bounds the transformations the agent may undergo and binds each mutation to a policy; an embedded lineage graph that records every prior state and every authorizing authority; and a serialization contract that admits the agent to be transmitted across hosts, networks, and trust boundaries without loss of structural identity.

Each defining element is structural rather than implementation-specific. The canonical-field schema is specified by its slot semantics (intent, context, memory, policy reference, mutation descriptor, lineage; with optional role typing, capability surface, and integrity constraint extensions) rather than by a particular wire format or storage encoding. Structural validation is specified by its determinism property — given the same agent object and the same schema, every evaluator reaches the same admit/reject/decompose decision regardless of runtime, vendor, or network position — rather than by a particular validator implementation. The instantiation gate is specified by its order property: structural validation precedes any behavioral effect, such that no incoherent or unauthorized agent can produce observable action. Mutation descriptors are specified by their policy binding rather than by particular operation classes. Lineage is specified by its append-only, cryptographically continuous property rather than by a particular signing scheme or storage substrate. The serialization contract is specified by completeness — the serialized form contains everything required to revalidate the agent on any compliant host — rather than by a particular encoding.

What separates this class from prior agent representations is the load-bearing property that the agent's structural identity is intrinsic to the object. A LangChain agent serialized to JSON is not a cognition-compatible agent — it is a configuration whose meaning depends on a LangChain runtime. An OpenAI Assistant object exported via API is not a cognition-compatible agent — it is a vendor-bound record whose semantics dissolve outside that vendor's platform. A cognition-compatible agent object, in contrast, carries everything required to evaluate it: schema reference, fields, policy reference, lineage, and signatures. Two compliant evaluators on different hosts, with no shared runtime and no shared service, reach the same admissibility decision on the same agent object. The agent is structurally portable in the same sense that a signed certificate is portable — its meaning travels with the bytes.

Canonical Fields and the Six-Slot Schema

The canonical schema specifies six primary slots. The intent field carries a typed declaration of what the agent is attempting to do, expressed in a vocabulary that the agent's policy reference can interpret; intent is not free text but a structured assertion (typed task, typed objective, typed scope, typed termination criterion). The context field carries the typed situational binding under which the intent applies — operational context (production, test, simulation), jurisdictional context (regulatory regime, data-residency constraint), temporal context (validity window, time-of-relevance), and operational scope (single-tenant, multi-tenant, federated). The memory field carries either an embedded memory state or a typed reference to an external memory store whose admissibility against the agent's policy is itself credentialed.

The policy reference field carries a typed binding to one or more policy objects that govern the agent — admissibility constraints on intent, mutation eligibility, delegation rules, capability bounds, integrity requirements. Policy reference is a binding rather than an embedding, so that the same policy object can govern multiple agents and policy updates can be propagated without rewriting every agent that depends on the policy. Policy versioning is captured by reference: the agent binds to a specific signed policy version, and policy updates produce new signed versions that subsequent agents may bind to. The mutation descriptor field carries the typed catalog of transformations the agent may undergo (intent refinement, memory append, context narrowing, role assumption, delegation) and the policy bindings under which each transformation is admissible. The lineage field carries the append-only graph of prior states, authorizing authorities, and signatures that establish the agent's evolutionary history.

Beyond the six primary slots, the schema admits typed extensions that capture domain-specific structure without breaking class membership. Role typing extensions specify the agent's role within a multi-agent system (cognition node, authority node, advisory node, peer node) with the role binding itself credentialed and admissibility-bounded. Capability surface extensions specify the typed actions the agent may invoke against external systems, with each capability bound to a credential and a policy. Integrity constraint extensions specify invariants that must hold across mutations — fields that must remain stable, fields whose values must remain bounded, fields whose changes require additional authority. The minimum-viable agent is specified by the two-field threshold sub-primitive: at least two canonical fields must be present and compatible for the object to admit any behavior at all, with finer-grained gating provided by policy reference. The full six-field complement provides the maximum admissibility surface; intermediate populations admit reasoning over partially specified agents under explicit scaffolding rules.

Structural Validation as the Instantiation Gate

Structural validation is the deterministic function that maps an agent object plus its schema plus its referenced policy to an admit/reject/decompose decision. Validation evaluates four property classes: field presence (which canonical slots are populated), field compatibility (whether the typed values across slots are coherent — for example, an intent whose required context fields are absent rejects, an intent whose policy reference does not admit the declared scope rejects), policy admissibility (whether the bound policy admits the declared intent under the declared context), and lineage continuity (whether the agent's prior-state references resolve to valid prior states whose authorities are still valid under the current policy version).

The validation function is deterministic in the strong sense: given the same agent object, the same schema, and the same policy version, every compliant evaluator on every compliant host reaches the same decision. There is no dependence on runtime state, no dependence on a centralized registry, and no dependence on the evaluator's prior interaction history with this agent or any other. Determinism is the property that admits structural validation to function as a substitute for orchestration: where orchestration imposes consistency by routing every operation through a central authority, structural validation imposes consistency by encoding every property the central authority would have checked into the object and the schema. Two evaluators in different jurisdictions, in different time zones, behind different firewalls, reach the same admit/reject/decompose outcome.

The instantiation gate is the order property: structural validation precedes any behavioral effect of the agent. An agent object whose validation result is reject does not become behavior — it does not invoke capabilities, does not consume memory, does not produce outputs, does not extend its lineage. An agent whose validation result is decompose is split into structurally valid sub-agents per the policy's decomposition rules, with each sub-agent revalidated independently before any becomes behavior. Only an agent whose validation result is admit may proceed to instantiation. This gating is what differentiates the schema from a passive type system: a type system says whether an object is well-formed; the instantiation gate additionally enforces that ill-formed or policy-rejecting objects produce no observable behavior. Behavioral validity is bounded by structural validity, and structural validity is established before any behavior occurs.

Mutation Under Schema and the Embedded Lineage Graph

Agents are not static. An agent's intent may refine as the task evolves; its memory grows as observations accumulate; its context narrows as the operational scope is bounded; its role may shift under delegation; its policy reference may rebind as the policy version updates. The mutation descriptor field specifies which of these transformations the agent may undergo, under what authority, and with what cryptographic recording. Each admitted mutation produces a new agent object whose lineage field references the prior object, whose mutation descriptor records the typed transformation applied, and whose authority binding records the signing party that authorized the transformation. The mutation is itself subject to structural validation: the post-mutation object must be structurally valid against the schema and the policy, or the mutation is rejected and the prior object remains current.

The embedded lineage graph is the append-only record of every authorized mutation. Each lineage entry references the prior agent state, the typed mutation, the authorizing authority's signature, and the policy version under which the mutation was admitted. Lineage is cryptographically continuous: each entry's hash chains to the prior entry's hash, so that any tampering with prior state is detectable by any evaluator that walks the chain. Lineage is intrinsic — it lives within the agent object rather than in an external log — so that the agent carries its full evolutionary history wherever it travels. An auditor in possession of the agent object can reconstruct the agent's full history without access to any external system, and can verify that every transformation was authorized under a policy version that was valid at the time of the transformation.

Mutation under schema produces three structural properties unavailable to orchestration-bound agents. First, mutation governability: every change to the agent is bounded by the mutation descriptor and admitted only by policy-authorized authorities, with the audit trail co-resident with the agent. Second, version continuity: the agent's identity persists across policy updates because the lineage records which policy version governed each mutation, so that a current evaluator can reason about historical states under their historical policies. Third, cross-boundary mutation: an agent may be mutated by one authority, transmitted to a different trust boundary, and validly continued by a different authority, with the lineage chain establishing both authorities' contributions and the policy admissibility at each step. None of these properties hold for agents whose mutation history lives outside the agent object.

Partial Agents, Scaffolding, and the Two-Field Threshold

Real distributed systems are asynchronous and imperfect. Agents arrive across network partitions in transitional states; they are constructed incrementally as their authoring contexts assemble the required fields; they are received from federated peers with subsets of fields populated according to whichever fields the peer was authorized to share. The schema explicitly admits partial agents — objects in which not every canonical field is populated — under bounded conditions. Partiality is not permissiveness: the bounds are specified by the two-field threshold sub-primitive, by the policy reference, and by structural scaffolding rules that determine which missing fields may be inferred and from where.

The two-field threshold establishes that an agent object must carry at least two canonical fields populated and structurally compatible to admit any reasoning about it at all. Below this threshold, the object is not yet an agent — it is a fragment whose semantic identity is insufficient for deterministic interpretation. Above the threshold, the schema admits the object to participate in reasoning operations whose admissibility is bounded by which specific fields are present. An object with intent and policy reference admits admissibility checking against the policy without yet admitting execution; an object with intent, context, and memory admits memory consultation without yet admitting mutation; an object with the full six-field complement admits all schema-defined operations.

Scaffolding logic specifies how missing fields may be resolved. When the policy admits scaffolding for a particular field, deterministic resolution rules — typed defaults, inheritance from a parent agent in the lineage, derivation from sibling fields, or external authority lookup against a credentialed registry — populate the missing field, with the resolution recorded explicitly in the agent's lineage so that subsequent evaluators can distinguish authored fields from scaffolded fields. Scaffolded fields are admissible only for the operations the policy admits them for; an inferred field cannot silently substitute for an authored field where the policy requires authorship. This explicit recording prevents semantic drift: any field whose value was not directly authored by an authorized party is marked as scaffolded with the resolution rule that produced it, and downstream operations can refuse scaffolded values where authorship is required.

Stateless Serialization and Cross-Boundary Portability

Because the agent's structural identity is intrinsic, the agent admits stateless serialization: the serialized form contains everything required to revalidate the agent on any compliant host. The serialization contract specifies that serialized agent objects include the canonical fields, the schema reference (typically a versioned URI plus signature), the policy reference (versioned URI plus signature), the lineage chain back to a credentialed origin, and the signatures of every authority that contributed to the agent's mutation history. A receiving host with the schema and the referenced policy can rehydrate the agent, walk its lineage, validate its structural admissibility, and either admit it to local operation or reject it with a typed reason — without consulting the originating system, without sharing any runtime state with the originating system, and without trusting the originating system's claims beyond what its signatures establish cryptographically.

Cross-boundary portability is the operational consequence. An agent authored in one organization may be transmitted to a federated peer organization, whose policy reference may differ but whose schema is shared, and validly continued by the peer under the peer's policy bindings — with the lineage chain establishing both parties' contributions. An agent may be migrated from a cloud runtime to an edge runtime, from a vendor framework to a different vendor framework, from a primary datacenter to a disaster-recovery site, without any orchestrator-mediated handoff and without any state-reconciliation phase. The agent is what is transmitted; the orchestration is replaced by validation against the receiving host's policy bindings.

Operating Parameters and Engineering Envelope

The schema's parameter envelope spans the dimensions required to characterize the class as a deployable architecture. Canonical-field cardinality ranges from the two-field threshold minimum to the six-slot full schema plus typed extensions, with typical production agents carrying four to six populated slots plus one to three extension fields. Lineage chain depth ranges from a single origin entry (newly authored agent) to multi-thousand-entry chains for long-lived agents in continuous-mutation contexts; chain walking complexity is linear in chain depth, with cryptographic verification dominating the cost (typical 50 to 500 microseconds per entry on commodity hardware for current signature schemes). Serialization size ranges from a few hundred bytes for minimal partial agents to tens of kilobytes for fully populated agents with rich memory and deep lineage; compression and lineage-pruning sub-primitives reduce typical sizes by 60 to 90% under disclosed pruning policies.

Validation latency under typical policy complexity ranges from sub-millisecond (simple field-presence and type-compatibility checks against a cached schema) to tens of milliseconds (full policy admissibility evaluation with cryptographic lineage walk on a deep chain). Mutation rates admissible per agent depend on the policy's authority-binding requirements and the lineage signing scheme; disclosed implementations support sustained rates of hundreds to thousands of mutations per second per agent in high-throughput inference contexts where each inference step is a mutation. Multi-agent populations admissible under a shared policy reach into the millions per policy version; policy version transitions are bounded by the time required to publish the new policy version and rebind the affected agents, with disclosed bounds typically in seconds to minutes for fully automated rebinding flows.

Edge cases addressed by the disclosed envelope include: agents whose lineage chain spans a policy-version transition where the prior policy has been deprecated (resolved by archive policy retention with explicit deprecated-but-valid status); agents whose memory field references an external store that has become unavailable (resolved by the partial-agent admissibility rules with scaffolded memory); agents whose authority binding includes a credential that has been revoked (resolved by the lineage-walk's revocation check, which marks subsequent operations as inadmissible while preserving prior operations' validity at the time of authorization); and agents whose schema version has been superseded (resolved by a typed migration sub-primitive that admits forward-migration to a current schema with the migration itself recorded as a lineage entry).

Alternative Embodiments

The disclosed primitive admits substantial implementation diversity. Schema encoding alternatives include JSON Schema with cryptographic envelope, CBOR with COSE signatures, Protocol Buffers with associated signature schemes, ASN.1 for regulated regimes that require it, and bespoke binary encodings for resource-constrained edge contexts; the schema-as-class is preserved across all encodings because class membership is defined by the slot semantics rather than the wire format. Signature scheme alternatives include ECDSA, EdDSA, RSA-PSS, post-quantum signature schemes (Dilithium, Falcon, SPHINCS+), and hardware-anchored signatures from secure enclaves or HSMs; the cryptographic-continuity property of the lineage chain is preserved across all schemes because continuity is defined by the hash-chain plus signature property rather than by a particular algorithm.

Policy expression alternatives include declarative rule languages (Rego/OPA, Cedar, custom DSLs), formally verified policies with proof-carrying admissibility, learned policies whose admissibility surface is itself credentialed, and hybrid policies combining declarative rules with learned boundaries; the policy-reference primitive admits any policy whose admissibility function is deterministic given the agent and the policy version. Memory binding alternatives span fully embedded memory (for small or self-contained agents), externally referenced memory with credentialed access (for large memory or multi-agent shared memory), and tiered memory with hot embedded plus cold external. Role typing alternatives admit fixed role taxonomies, dynamic role assumption under credential, and role composition through multiple bindings. Each alternative composes under the same canonical-field architecture without requiring schema-class changes; future alternatives (privacy-preserving validation under zero-knowledge proofs, multi-party-computed mutation authorization, post-quantum lineage anchoring) extend the architecture without breaking class membership for prior agents.

Composition With the Cognition Substrate

The agent schema composes with memory-resident execution: agents whose canonical fields include embedded memory and whose execution model is the persistent-object self-evaluation primitive run as memory-resident agents whose structural identity is the schema-validated object. The schema specifies what the agent is; memory-resident execution specifies how the agent persists, dormancy-cycles, and resumes. The two primitives are co-defining for the cognition substrate: the schema without execution is a specification; execution without the schema is a process without governable identity. Together they provide governed persistent agency.

The agent schema composes with cryptographic governance: the policy references that govern admissibility, mutation eligibility, and lineage continuity are themselves cryptographically signed objects under the cryptographic-governance primitive. Policy versioning, quorum-governed policy updates, scoped mutation gating, and revocation are provided by the governance primitive and consumed by the agent schema as the typed bindings the schema's structural validation evaluates against. The agent schema composes with inference-time semantic execution control: when an agent's behavior includes inference, the inference loop's per-step admissibility gate evaluates each candidate transition as a proposed mutation against the agent's mutation descriptor and policy. The schema provides the agent state object that the inference-control primitive operates on; the inference-control primitive provides the per-step gating that the schema's mutation descriptor delegates to during inference.

The agent schema composes with the broader Adaptive Query architecture through the credentialed-lineage chain: every agent's lineage ultimately traces to credentialed origin authorities whose own credentials are managed by the architecture's authority taxonomy. Agents authored under a particular jurisdiction, framework, or operational context inherit the credentialed properties of their origin; agents migrated across boundaries accumulate signatures from each boundary's authorities; agents whose lineage crosses regulated/unregulated boundaries carry the regulatory provenance that downstream evaluators require. Cross-pattern, the schema is the unit at which the cognition substrate meets the regulatory regime, the unit at which agentic behavior meets governable identity, and the unit at which AI-system architectures meet auditability without forensic reconstruction.

Prior-Art Distinctions

The class is structurally distinct from three closest prior-art classes. From orchestration-bound agent frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, vendor Assistants and Agents APIs), it is distinguished by the relocation of structural identity from the orchestrator to the agent object — agents in those frameworks are configurations interpreted by a runtime, whereas cognition-compatible agents are self-validating objects whose identity does not depend on any runtime. From declarative-policy systems (OPA/Rego, Cedar, XACML), it is distinguished by the embedding of the agent state plus mutation history plus policy reference plus lineage as a single typed object — declarative-policy systems govern decisions at a point but do not produce a portable, self-validating, lineage-bearing agent object that carries its governance with it.

From signed-document and credentialed-object architectures (X.509, Verifiable Credentials, signed JWTs), it is distinguished by the agent-specific structural elements — intent typing, mutation descriptors with policy bindings, embedded lineage of authorized transformations, and the instantiation gate that prevents structurally invalid agents from producing behavior. Verifiable Credentials and similar primitives address attestation; the agent schema addresses ongoing governable agency, with mutation, memory, and behavior as first-class structural concerns. The combination of all six defining elements — canonical-field schema, deterministic structural validation, instantiation gate, mutation descriptors with policy binding, embedded lineage graph, and stateless serialization for cross-boundary portability — is not present in any disclosed prior class. The non-obviousness is in the architectural inversion: relocating identity from runtime to object is a different architectural choice than any of the cited prior classes makes, and the consequences (orchestration-free portability, audit-without-runtime, governance-without-middleware) follow from the inversion rather than from any incremental improvement to existing primitives.

Disclosure Scope and Class-Membership Criteria

This primitive is disclosed under U.S. patent application 19/452,651 ("Agent Schema") within the broader cognition patent family. The disclosure includes, as enumerated sub-primitives elaborated in the secondary articles of this step: the canonical-field schema with the six primary slots and typed extensions; deterministic structural validation as the instantiation gate; the two-field threshold sub-primitive bounding minimum-viable agency; field interaction rules establishing typed compatibility across slots; role typing with credentialed role binding; semantic templates supporting class-of-agent definition; scaffolding logic for partial-agent resolution; default-resolution rules for missing fields; the embedded lineage graph with cryptographic continuity; stateless serialization supporting cross-boundary portability; and versioned policy references admitting policy evolution without breaking historical agent validity.

Class-membership criteria for the primitive are: a typed data object (1) conforming to a canonical-field schema specifying at least the six primary slots (intent, context, memory, policy reference, mutation descriptor, lineage), (2) admitting deterministic structural validation against the schema and a referenced policy, (3) gated by an instantiation rule preventing structurally invalid objects from producing behavior, (4) carrying a mutation descriptor that bounds permitted transformations and binds each transformation to a policy-authorized authority, (5) carrying an embedded, cryptographically continuous lineage graph of all prior authorized states, and (6) admitting stateless serialization sufficient to revalidate the agent on any compliant host without consultation of the originating system. An object exhibiting all six criteria is within the disclosed class regardless of schema encoding, signature scheme, policy expression language, memory binding strategy, or runtime substrate.