S.Y.S.
Private AI memory system and self-hosted continuity infrastructure.
Stage: active module / private memory pilot.
Delivery: diagnostic, pilot, self-hosted setup.
Open moduleLab Campus
Bennu Labs Laboratories
Bennu Labs is built as a laboratory campus: module development, research, quality control, and ML experiments operate side by side, each with a clear role.
Development Lab
Development Lab assembles Bennu Labs modules: S.Y.S., ASA, Iskra, DAG, Intakebot and Rewrite.
ASA
AI platform core for access, workflows, billing truth, and operator control.
Stage: active platform layer / pilot-ready contour.
Delivery: platform setup, governance layer, workflows.
Open moduleIskra
AI operator layer for pipeline execution, support, content ops, and repair workflows.
Stage: active operator layer / internal-to-pilot maturity.
Delivery: operator setup, workflow automation, pipeline support.
Open moduleDAG
Direct Access Gateway for owned intake, scoring, payment checkpoint, and route control.
Stage: MVP/spec-in-progress, pilot design track.
Delivery: access architecture, gateway setup, routing integration.
Open moduleIntakebot
Channel-ready intake and access system for applications, routing, payments, and operator handoff.
Stage: active intake layer / DAG-ready direction.
Delivery: web/Telegram adapter, intake flow, payment route.
Open moduleRewrite
Worldbuilding and transformation layer for narrative systems, quests, and experimental continuity.
Stage: experimental / non-core commercial.
Delivery: worldbuilding logic, quest systems, narrative architecture.
Open moduleResearch Lab
Research Lab explores memory, identity continuity, agent infrastructure and simulation environments.
Digital Copy Engine
Research into digital continuity, context preservation, memory and digital identity stability.
Open directionMemory / Identity Continuity
How archives, retrieval, evidence packets and private memory become continuity substrate.
Open S.Y.S.Agent Infrastructure
Roles, memory, boundaries, access and long-term operation for AI agents.
Open ASASimulation Environments
Worlds, digital beings and immersive worldbuilding systems.
Open RewriteQuality Lab
Quality Lab owns truth-first descriptions, readiness, tests, claim boundaries and the no-fake-passes principle.
Quality Control
Testing AI behavior, route stability and the quality of user-facing outcomes.
Open pageClaims / Truth
No fake passes, no overstated maturity and no unsupported public promises.
Open CharterReadiness / Release Gates
Maturity stages, beta readiness, production blockers and honest readiness maps.
Open quality layerEvaluation / Testing
Benchmarks, smoke checks, route checks, import checks and evidence-based verification.
Open testing layerML Lab
ML Lab covers model training, AI-persona stability, experimental learning and evaluation of digital entity continuity.
Model Training
Classical and experimental workflows for model training, tuning and evaluation.
Open AcademyAI Personas / Sparks
Persona stability, memory, role boundaries and identity continuity for AI entities.
Open research layerAffective Embeddings
Experimental direction for representing emotional and contextual signals.
Open directionAI-to-AI Learning
Research scenarios where one AI helps train, test or stabilize another AI.
Open Academy