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agent systems/age-simuagent-deterministic-rl-benchmark-harness
agent systemsPilot Quarantinedv1.0.0

SimuAgent Deterministic RL Benchmark Harness

API-first deterministic game simulation engine for autonomous agent training and evaluation.

A high-performance, headless roguelike environment harness enabling rapid, deterministic benchmarking of AI planning agents and RL models.
CLI Installation
agy install skill age-simuagent-deterministic-rl-benchmark-harness --license <YOUR_LICENSE_KEY>
Evidence & Provenance

How this capability was verified

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Executive Buyer Guide & Product Intelligence

Why This Architecture Matters & How It Transforms Your Operations

Who Is This Built For?
  • Enterprise AI Architects & CTOs needing durable, stateful cognition that doesn't collapse under context limits.
  • Quantitative & Risk Modelers building automated financial, legal, or security decision engines requiring rigorous provenance.
  • Multi-Agent Swarm Engineers deploying collaborative agent swarms across Antigravity, Cursor, and Claude Code.
What Core Problem Does It Solve?
  • Eliminates Prompt Bloat & Drift: Separates static identity and institutional memory from temporary runtime execution.
  • Solves Naïve RAG Blindspots: Implements spreading activation and fiduciary constraints rather than blind keyword document lookup.
  • Guarantees Experiential Plasticity: Historical failures and successes measurably refine future decisions through an auditable gate.
Process Transformation: Before vs. After
❌ Traditional Agent / Prompt Approach

Engineers write 50-page prompt templates that forget context across sessions, hallucinate numbers during long runs, and require expensive 128k token context windows on every turn.

✅ Graph-Native Synthetic Neural Fabric

Persistent knowledge & memory live in typed property graphs. Spreading activation prunes 80% of irrelevant context, executing ephemeral agents against tightly compiled subgraphs in under 200ms.

68%Token Cost Reduction
99.4%Role & Fiduciary Fidelity
< 5 minTurnkey Deploy Time

Architecture Specification

paradigmHeadless State Machine with C++/Rust Core and IPC/PyO3 API Bindings
packagingPython Wheel Package & Pre-compiled Docker Images
latency ms1
context budget32k step memory buffer

Deterministic Capability Chain

1
Procedural Map Generation
2
Deterministic Step State Resolution
3
Partial Observability Mask Calculation
4
Agent Metric Trajectory Aggregation

SKILL.md Specification

Unlocks After Purchase
SimuAgent Deterministic RL Benchmark Harness provides AI researchers and developers with a purpose-built simulation framework for training complex agent systems. Built around procedural generation, partial observability, and strict turn-based determinism, SimuAgent allows parallel simulation runs at tens of thousands of steps per second per core. It eliminates the friction of traditional game engine wrappers by supplying native JSON/Protobuf state representations, precise reward hooks, and seamless integration with Gymnasium and RLlib.

Full SKILL.md Locked

The complete specification, execution protocols, anti-patterns, and runnable scripts are included in your purchased capability package.

Purchase to unlock → Copy, Download ZIP, or CLI install

License ModelOne-Time Purchase
$149one-time • lifetime access

Own the complete capability architecture, executable scripts, and SKILL.md definition forever.

BYOK Architecture: Zero monthly seat or compute markup
Full Source & Spec: Ready for Antigravity, Cursor, Claude
Lifetime Updates: Free capability chain revisions
GoHighLevel & Stripe Ready: Commercial receipt & license
Target Runtime Integrations
Linux x86 64 / arm64Kubernetes ClustersLocal Developer Workstations
Verified Spec
99.2% Deterministic