Agent Kernel Architecture
The Agent Kernel is the execution engine of the Forge runtime.
It is the subsystem responsible for transforming an execution contract into deterministic computation while preserving execution integrity.
Unlike the Hub or Scheduler, which coordinate execution, the Agent Kernel performs computation.
It is therefore the only architectural boundary where execution intent becomes executable work.
The Agent Kernel executes.
It never coordinates.
It never interprets.
It never changes computation semantics.
The Compute Problem
Distributed execution cannot assume trusted infrastructure.
Workloads execute across heterogeneous hardware, different operating systems, cloud providers, private infrastructure, and independently managed machines.
The architectural challenge is therefore not simply performing computation.
It is performing computation that remains:
- deterministic
- isolated
- inspectable
- replayable
- verifiable
The Agent Kernel exists to solve that problem.
Execution Philosophy
The Agent Kernel executes computation.
It never defines computation.
Primitive families define computational meaning.
Profiles define workload semantics.
The Hub coordinates execution.
The Scheduler determines placement.
The Agent Kernel faithfully executes the computation described by the execution contract.
Execution discipline—not execution authority—is its defining responsibility.
Relationship to the Runtime
The Agent Kernel implements the Execution Plane of the Forge architecture.
It receives execution contracts coordinated by the Hub and placed by the Scheduler.
Its responsibility ends when deterministic shard outputs and execution evidence have been produced.
Execution Contract
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Hub Coordination
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Scheduler Placement
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Agent Kernel Execution
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Structured Output
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Execution Evidence
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AggregationThe Agent Kernel owns only one part of this lifecycle.
Computation.
Primary Responsibilities
Deterministic Execution
Execute workload shards exactly as described by the execution contract.
Execution behavior is determined exclusively by:
- primitive family
- profile
- canonical arguments
- execution policy
- deterministic seed discipline
The Agent Kernel never invents execution behavior.
Execution Isolation
Each workload executes inside an isolated execution environment.
Isolation protects:
- execution correctness
- host integrity
- tenant separation
- runtime reproducibility
Isolation exists to preserve execution integrity rather than merely improve security.
Structured Computation
The Agent Kernel executes one deterministic shard at a time.
Each execution produces structured outputs suitable for deterministic aggregation.
Examples include:
- scalar values
- matrices
- tensors
- probability distributions
- simulation state
- graph fragments
- media segments
- domain-specific artifacts
The structure is defined by the primitive family rather than the Agent itself.
Runtime Observation
The Agent continuously observes execution.
Examples include:
- execution timing
- resource usage
- memory consumption
- kernel lifecycle
- retry behavior
- runtime health
- transport health
Observation becomes part of execution evidence.
Execution Evidence Production
Execution produces more than computation.
The Agent contributes evidence describing how computation occurred.
Examples include:
- execution timestamps
- shard identity
- primitive version
- profile version
- runtime metrics
- execution duration
- resource utilization
- kernel metadata
- execution artifacts
Execution Evidence preserves the history of computation.
Result Delivery
Completed shard outputs are transmitted through the runtime transport layer.
Delivery includes:
- structured outputs
- metadata
- execution evidence
- artifact references
- transport integrity
The Agent delivers computation.
It does not produce final workload results.
What the Agent Kernel Never Does
Architectural boundaries remain explicit.
The Agent Kernel never:
- plans execution
- schedules workloads
- defines primitive semantics
- modifies execution contracts
- aggregates shard outputs
- performs global verification
- interprets business meaning
- coordinates distributed execution
- becomes an orchestration layer
Its responsibility begins with computation.
Its responsibility ends with computation.
Execution Lifecycle
Every shard follows the same execution lifecycle.
Receive Execution Contract
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Select Primitive Runtime
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Create Isolated Execution Context
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Execute Deterministic Kernel
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Generate Structured Output
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Produce Execution Evidence
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Transmit ResultThis lifecycle remains stable regardless of workload type.
Deterministic Execution
Determinism is achieved through execution discipline.
The Agent Kernel preserves deterministic behavior through:
Canonical Execution Contracts
Every execution begins from one canonical contract.
Primitive Version Discipline
Execution semantics are defined by explicit primitive versions.
Profile Version Discipline
Profiles specialize primitive behavior without introducing ambiguity.
Deterministic Seed Behavior
Randomness is controlled through explicit deterministic seed policies.
Stable Execution Order
Kernel implementations avoid undefined execution ordering wherever deterministic semantics require it.
Structured Outputs
Outputs preserve canonical structure independent of execution timing.
Floating-Point Discipline
Numerical behavior follows deterministic execution policies appropriate for the primitive family.
Execution Isolation
The execution environment enforces strict isolation.
Examples include:
- filesystem restrictions
- controlled process boundaries
- resource quotas
- optional accelerator access
- network restrictions
- execution time limits
Isolation protects both the host and the execution contract.
Heterogeneous Infrastructure
The Agent Kernel assumes infrastructure diversity.
Execution may occur on:
- laptops
- workstations
- private servers
- cloud instances
- GPU nodes
- ARM systems
- x86 systems
- future hardware architectures
Infrastructure identity does not define execution truth.
The execution contract does.
Runtime Observability
The Agent continuously emits execution telemetry.
Examples include:
- execution start and completion
- kernel lifecycle
- CPU utilization
- GPU utilization
- memory usage
- transport statistics
- retry events
- execution duration
- artifact generation
These signals make computation observable without modifying computation itself.
Contribution to Execution Evidence
The Agent contributes execution-level evidence to the overall runtime.
Examples include:
- shard identifiers
- execution timestamps
- kernel metadata
- primitive version
- profile version
- runtime metrics
- resource consumption
- execution artifacts
- transport metadata
This information enables replay, inspection, verification, and audit.
Failure Model
The Agent Kernel assumes execution failures are inevitable.
Examples include:
- kernel panic
- execution timeout
- transport interruption
- resource exhaustion
- process restart
- hardware failure
- verification rejection
- infrastructure degradation
Failures affect execution availability.
They should not compromise execution integrity.
Accelerator Support
Execution may utilize hardware acceleration when supported by the primitive family.
Examples include:
- GPUs
- vector instruction sets
- specialized accelerators
- future execution hardware
Acceleration changes execution performance.
It does not change execution meaning.
Runtime Lifecycle
The Agent Kernel manages its operational lifecycle.
Responsibilities include:
- startup
- health monitoring
- graceful shutdown
- version updates
- runtime recovery
- configuration reload
- cryptographic update verification
Lifecycle management preserves long-term runtime stability.
Architectural Guarantees
The Agent Kernel is designed to preserve:
- deterministic computation
- execution isolation
- explicit primitive semantics
- structured outputs
- replayable execution evidence
- heterogeneous infrastructure support
- observable execution
- strict responsibility boundaries
These guarantees define the Execution Plane independently of workload type.
Architectural Non-Goals
The Agent Kernel intentionally does not:
- coordinate distributed execution
- define workload semantics
- modify execution contracts
- schedule computation
- aggregate outputs
- interpret results
- become a policy engine
- replace verification
The Agent executes.
Nothing more.
Nothing less.
How to Verify Agent Behavior
A technical evaluator can inspect one shard execution.
Suggested verification path:
- Submit a workload.
- Inspect the execution contract.
- Observe primitive and profile identity.
- Inspect Agent execution metadata.
- Review execution timing.
- Inspect produced execution evidence.
- Compare shard output against aggregation inputs.
- Replay the execution where supported.
The observed execution should correspond to the lifecycle described in this document.
Related Documentation
Continue with:
- Aggregation Layer
- Transport Architecture
- Storage Architecture
- Scaling Architecture
- Scheduler Architecture
Final Mental Model
The Agent Kernel is where an execution contract becomes computation without ever losing its architectural identity.
Everything before the Agent prepares execution.
Everything after the Agent explains execution.
The Agent itself performs execution.
That distinction defines the Execution Plane.
