Stop overpaying to run your agents. Kalibr routes every request to lower-cost model and tool paths without degrading performance.

Offloading DOCA-based Adaptive Routing onto NVIDIA BlueField-2 DPU. (卸载基于DOCA的自适应路由到NVIDIA BlueField-2 DPU上)

Krako 2.0 – Energy-efficient, triadic multi-tier inference infrastructure enabling adaptive routing across heterogeneous edge–cloud nodes.

LLM routing engine that dispatches prompts to the cheapest capable model

Learning Automata algorithm for the shortest path problem

Ant Colony Optimization algorithm for the shortest path problem

Qomni Planner v0.59: Adaptive Cognitive Routing with Online Learning Loops for Edge AI Inference — Percy Rojas Masgo, CEO Condesi Perú · Qomni AI Lab

Particle Swarm Optimization algorithm for the shortest path problem

KERNEL v4.2 est un scheduler cognitif adaptatif pour LLMs intégrant LATS, Reflexion et Meta-Prompting. Il optimise dynamiquement le routing du raisonnement selon la complexité (1-5) pour maximiser la précision et réduire les hallucinations. Propulsé par la vision Lichen-Collectives.

Qomni Engine v8: Adaptive Cognitive OS — Crystal Distillation + CRYS-L v2 (open) + Learning Loop Planner · Percy Rojas Masgo, Qomni AI Lab

Ant Colony Optimization algorithm for the shortest path problem

LangChain integration for Kalibr. Route every LangChain LLM call to lower-cost model paths without degrading performance.

Contextual Thompson Sampling router for multi-provider LLM APIs. Zero config.

Enable deterministic distributed execution for AI workflows with replay-safe billing, contention safety, and trust-driven scheduling.

Policy-driven execution-lane selector for claude_cli, codex_cli, and aider_local with fallback, escalation, and adaptive routing.