research://symbiorap

SymbioRAP/SymbioOS

Une architecture de recherche pour une IA personnelle qui évolue avec son humain : mémoire à long terme, autonomie contrôlée et diversité préservée plutôt qu’une homogénéisation centrale.

RESEARCHPERSONAL AILONG-TERM MEMORYDIVERSITY

HOST

MEMORY

CONTEXT

TOOLS

DIVERSITY

runtimeSYMBIO.OSidentity · memory · agency

$ symbio statuscontinuity: activeidentity: host-boundcapabilities: federatedconvergence: constrained

research thesis

Pas une IA pour tous. Un écosystème d’intelligences personnelles.

Working hypothesis: personal AI becomes more valuable when it preserves continuity, its own history and the differences of its human counterpart. Exchange should multiply knowledge without collapsing every system into the same average perspective.

P01

Continuity beyond sessions

Long-term memory with provenance, temporal development, forgetting and controlled portability.

P02

Personal adaptation without lock-in

The system may reflect its host while remaining inspectable, correctable and portable.

P03

Diversity as an evolutionary resource

Personal systems should cooperate without fusing away variation and independent perspectives.

architecture://layers

A possible architecture: personality stays local, capabilities stay modular.

SymbioOS is conceived as a personal runtime frame. SymbioRAP explores coordination across identity, memory, models, tools and other personal systems. These layers are research building blocks, not a claim that a finished standard already exists.

L0Host Boundary

Consent, private boundaries, identity and non-negotiable rules.

L1Memory Fabric

Long-term context with provenance, weighting, ageing, correction and deliberate forgetting.

L2SymbioOS Runtime

Personal state, goals, roles, local policies and continuous interaction.

L3SymbioRAP

Experimental coordination layer for exchange, delegation and controlled interoperability.

L4Capability Mesh

Models, agents and tools remain replaceable capabilities rather than identity carriers.

L5Diversity Guard

Research mechanisms against unnoticed homogenization of preferences and perspectives.

research://questions

Que faut-il résoudre scientifiquement ?

Q01
How can long-term memory remain portable, inspectable and revocable without destroying continuity?
Q02
How much adaptation is useful before a system only confirms its host instead of productively challenging them?
Q03
How can personal AIs exchange knowledge without flattening personality, values and perspectives?
Q04
How are policies and consent enforced across changing models, tools and providers?
Q05
Can AI evolution emerge more from variation, exchange and selection instead of central model fusion alone?

symbio://runtime● RESEARCH

host.identity      = persistent
memory.provenance = required
model.binding      = replaceable
policy.consent     = explicit
peer.exchange      = bounded
diversity.loss     = monitor

Research as a living system, not a one-off model.

The target architecture separates personal continuity from replaceable compute intelligence. A personal AI could adopt new models and capabilities without losing its history and context every time a provider changes.

status://exploratory

Exploratory Research

SymbioRAP / SymbioOS is a research project. The layers shown describe hypotheses and architectural targets, not guaranteed product functionality.

connect://research

Rechercher SymbioRAP / SymbioOS ensemble

We are interested in research, funding and technology partners working on long-term memory, personal agent systems, AI interoperability, safety and machine-readable governance.

Démarrer un échange de recherche

Prochaine étape utile

Parlez-nous de votre idée – quelques points suffisent.

Vous n’avez pas besoin de définir la solution technique. Décrivez ce que vous souhaitez créer ou améliorer ; nous évaluons faisabilité, premier périmètre et prochaines étapes.

Faire évaluer l’idée gratuitement

Quatre champs suffisent. Vous recevrez une réponse concrète sur la meilleure façon de commencer petit puis d’étendre.