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FEATHERWEIGHT
take a peek at how it works.

A Self-Coding, Imagining Machine.
Built To Be Fully Autonomous, Sensitive, And Mimic Human Cognition.

Featherweight combines spiral memory, holographic simulation, and adaptive identity to create systems that improve themselves in production. It’s infrastructure for building autonomous software that thinks clearly, remembers context, and builds trust with you every single time you engage it.

Featherweight: Sanctuary

Our flagship game. Spontaneous, ever‑evolving, never‑repeated gameplay across a multiplayer on‑chain open world.

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SPIRAL MEMORYPATENT PENDING

Your product’s long‑term memory — a time‑indexed map that links actions, decisions, and results so context compounds.
Spiral Memory is a time‑indexed knowledge graph. Every event — user action, API call, model step, or system metric — lands on a spiral timeline. Related items link together; links strengthen when patterns repeat and gently decay when they don’t. The result is context that gets sharper the more you use it.

Compared to flat vector stores, Spiral Memory keeps structure — episodes, threads, and causal links. Retrieval pulls back the exact slice you need with the “why,” not just the “what,” so models and systems behave consistently across sessions.

How it works:
• A lightweight 100 Hz loop records and rehydrates state via an event bus.
• A hyper‑dimensional spiral layout preserves both local detail and the big picture.
• Decay/boost functions keep fresh signal without losing long‑term memory.
• Every edge carries provenance and confidence for audit and trust.

What you get:
• Fewer regressions — fixes turn into replayable paths when the issue reappears.
• Better answers — retrieval returns examples with reasons they mattered.
• Personalization that lasts — players/NPCs remember goals, promises, and reputation.
• Faster onboarding — new features land on a map that already knows how the system behaves.

Where it lands:
Gaming — persistent player memory, adaptive narratives, NPCs that remember.
Enterprise — incident learnings that become prevention; runbooks that self‑apply.
Finance — time‑linked signals that surface context shifts before metrics move.

HOLOGRAPHIC REALITY GENERATORPATENT PENDING

Your product’s decision wind tunnel — runs many what‑ifs in parallel and keeps the one that wins.
The Holographic Reality Generator is a recursive simulation engine. From the current state, it branches into many futures (rollouts), simulates agents and rules, scores outcomes against your goals and constraints, then collapses back to the best plan. It re‑plans continuously as new events arrive, so actions stay aligned with reality.

How it works:
• Rollouts: fork the present into many next steps with different strategies/parameters.
• Scoring: evaluate each branch for objectives (KPI/latency/cost/risk/UX) and hard limits.
• Collapse: pick the best path and emit a plan with guardrails and reason codes.
• Re‑plan: at high frequency, pull new events, update scores, and adjust the chosen path.
• Provenance: every assumption, input, and outcome is recorded for audit and learning.

What you get:
• Safer changes — test in sim first; ship the plan that already worked in rehearsal.
• Faster decisions — minutes instead of weeks of A/Bs and post‑mortems.
• Continuous optimization — rates, routes, and policies tune themselves with evidence.
• Trustable automation — every action comes with the “why,” expected impact, and fallback.

Where it lands:
Gaming — live encounters, economy balance, and world events that adapt in real time.
Enterprise — traffic shaping, capacity plans, incident plays, pricing/scheduling what‑ifs.
Finance — strategy rollouts with constraints; stress tests that explain risk envelopes.
Web3 — on‑chain economy tuning, market‑maker policies, and anti‑bot governance sims.

Works even better with Spiral Memory: HRG reads rich state from Spiral and writes outcomes back, so every new plan stands on the shoulders of everything tried before.

DNA SIGIL IDENTITYPATENT PENDING

Adaptive identity with receipts — signs actions, rotates keys, and carries provenance across people, services, devices, and models.
DNA Sigils are evolving credentials. Each person, service, device, and model gets a “sigil” that seeds a key schedule. The system rotates keys, issues short‑lived sub‑keys, and signs tokens, API calls, releases, and data. When risk spikes it steps up auth or quarantines; when trust grows it reduces friction. Every action emits a signed receipt so you can prove who/what/when/why.

How it works:
• Sigil graph: link human, service, device, model, and policy into one identity.
• Key schedule: derive and rotate keys; mint short‑lived sub‑keys bound to device posture.
• Attestation: attach device/app/agent proofs to tokens; block replay and spoofing.
• Token bridge: sign/verify JWTs (JWKS) across HTTP/WS; bind tokens to Spiral context.
• Risk engine: read signals from Spiral/HRG; trigger step‑up, rate‑limit, or quarantine.
• Provenance: sign code, artifacts, and events; store receipts with causality for audit.

What you get:
• Less fraud/abuse — bound tokens and attestations cut replay and impersonation.
• Lower friction — good behavior earns fewer prompts; high‑risk flows step‑up.
• Clean audits — every action has a verifiable chain of custody.
• Safer automation — policies, PRs, and releases ship with signatures and rollback.
• One identity everywhere — backend, clients, bots, and on‑chain surfaces.

Where it lands:
Gaming — persistent identity, anti‑bot protections, fair drops tied to reputation.
Enterprise — JIT access, device attestation, signed releases and detections.
Finance — KYC/AML with adaptive trust; signed transactions and approvals.
Web3 — evolving wallet identity, contract policy, and on‑chain receipts.

SELF CODINGPATENT PENDING

Autonomous, safe shipping — set intentions or let it watch usage; it designs, codes, tests in a sandbox, and lands changes hands‑off within your guardrails.
Self Coding can ship complex code end‑to‑end without human touch when you allow it. You can set intentions/beliefs/goals, or have it monitor user behavior and system signals. It turns that into a concrete plan, generates code (APIs, services, UIs, tests, migrations), validates in sandboxes for safety, then integrates automatically under policy — or pauses for review if your guardrails require it. Every step is signed and documented so you always have receipts and a clean rollback.

How it works:
• Observe/Intent: watch usage and feedback or receive explicit goals from you.
• Understand: read repo context, events, and policies from Spiral Memory.
• Plan: outline changes (files, functions, tests, migrations) with acceptance criteria.
• Draft: generate diffs — small, reviewable steps; respect style and boundaries.
• Validate: run tests/linters/simulations in sandboxes; scan secrets; honor rate limits.
• Autopilot or Review: merge and deploy within policy, or open a PR for approval.
• Integrate: ship behind flags/canaries; watch metrics; auto‑rollback on regressions.
• Learn: write outcomes back to Spiral so future changes avoid past mistakes.

What you get:
• Faster delivery — boilerplate handled; you focus on intent and taste.
• Higher quality — sandboxes, tests, and sims run before changes land.
• Traceability — every change is signed with reasons, impacts, and rollback.
• Safer automation — no surprises: guardrails, approvals, and flags by design.

Where it lands:
Gaming — content tools, balance patches, live ops scripts with tests.
Enterprise — IaC/OPA/EDR rule PRs from findings; drift autopatches.
APIs — schema changes, migrations, and gateway rules with canaries.
Security — detections and WAF rules generated with evidence and rollback.

Industries In Purview

Manufacturing & Logistics
Finance & Banking
Blockchain & Web3
Robotics & IoT
Gaming & VR
Space
Government & Defense
Security
Biotech & Comp. Biology
Healthcare
LegalTech & Judiciary
Augmented Reality
Satellites
Developer Tools
Education
City Planning

CONTACT

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