Workstream 01
Queueing, residency, reuse, eviction, and recovery
AI Labs FutureWorks Research profile
Scheduling many persistent agent identities across bounded model residency and physical compute.
A Compacitas research initiative
MultiplexCompute systems
Multiplex separates a persistent agent identity from the model process that temporarily performs its work. Its research direction covers scheduling, model residency, routing, and resource accounting so useful work can share constrained compute without losing identity or evidence. The maintained core implements durable queues, bounded reservations, adapter reuse, recovery states, and routing mechanisms. Research evaluation must compare useful outcomes, latency, cost, and failure behavior on real admitted substrates, keeping stored identities and queued jobs separate from simultaneous model execution.
The research question
Research workstreams
Queueing, residency, reuse, eviction, and recovery
Policy-constrained routing with explicit resource and quality evidence
Real-substrate measurement of throughput, latency, cost, and failure modes
Evidence priorities
The initiative is framed around testable questions. Its research direction should be assessed against observed evidence and the limits of each experiment.
Research goals and proposed mechanisms are not established findings. Product-linked tracks describe the research behind a capability, rather than a claim that its hypotheses have been validated.
Associated company
The verifiable civilization runtime for model governance, scheduling, optimization, and authorized compute federation.
Explore Compacitas
AletheonCompacitas · Protocol in development
A controlled emergence ecology for testing persistent identity, history, diverse substrates, and governance needs.
Verifiable Civilizational LearningCompacitas · Proposed study
Testing whether verified experience can accumulate outside model weights and survive complete agent and model turnover.
A System of Heredity for IntelligenceCompacitas · Research design
Checked inheritance of commitments and capability across generations of neural and non-neural computational systems.