AEGIS MESH

AEGIS-MESH is an Oracle-First, Neuro-Symbolic collision avoidance system that transforms Low Earth Orbit (LEO) satellite constellations into decentralized, self-defending networks against lethal, uncatalogued space debris. To overcome the 8-to-24-hour latency of legacy ground radar, our system executes a sub-16-millisecond deterministic physics pipeline—including Foster 1992 probability assessments, a Symbolic Physics Rule Graph, Hamilton-Jacobi reachability bounds, and Control Barrier Functions—before passing verified mathematical certificates to the AI. Meta's models serve as the system's cognitive and perceptual core: SAM 3.1 processes onboard star-tracker optical frames to segment faint debris streaks and shrink uncertainty covariance by 10x; Muse Spark 1.3 handles fast tactical screening by synthesizing the pre-verified proofs into strict JSON flight directives; and Muse Wonder 1.0 orchestrates strategic, multi-orbit recovery plans for complex off-nominal conjunctions by dynamically escalating maneuver lead times and coordinating swarm handoffs. By grounding Meta's frontier models in immutable astrodynamic proofs, AEGIS-MESH guarantees zero physics hallucinations while pushing the frontier of autonomous spaceflight.