avantix
Runs forever.
Agents that persist. Question. Improve.
Frameworks run tasks. This runs.
Agent frameworks call an LLM on every step — expensive, stateless, designed to complete a task and stop. We build the system that stays on. Code handles detection. The LLM only gets invoked when something is genuinely surprising. Thresholds tune, signal reliability adjusts, routing refines. The longer it runs, the quieter it gets — and the cheaper it becomes.
Learning from truth
Every thought tracks its parent evidence. When evidence expires, the thought is invalidated and re-derived. Without this, conclusions persist after their evidence is gone — ghost reasoning that compounds silently. Run the simulation to see both modes side by side.
One of five
Truth maintenance is one cognitive loop. The full architecture runs five, at different speeds. Four are code — fast, cheap, always on. One invokes the LLM, only when the others escalate. Signals flow upward through typed channels on a shared bus. Most get filtered. Expertise is knowing what to ignore.
hover each loop to explore
Cognitive depth
The same agent runs at different depths. Feature flags control which mechanisms are active — not different products, different configurations of the same system. Every level is ablation-tested against every other.
Pure code. Threshold checks against real data. The frozen watchdog — fast, cheap, can't be captured because it doesn't learn. Spike interrupts bypass everything when urgency demands it.
Watch a feed. Flag anomalies. Fire alerts.
same agent — different cognitive depth — one feature flag