Agent
Multi-judge code review using Qualixar OS debate topology. Two agents argue about code quality, a judge reaches consensus. Finds bugs, security issues, and style violations with scored severity.
Qualixar OS: The Universal OS for AI Agents. Claw-compatible. 12 topologies, Forge AI team designer, 24-tab dashboard, skill marketplace. PAPER: https://arxiv.org/abs/2604.06392
Agent
Multi-judge code review using Qualixar OS debate topology. Two agents argue about code quality, a judge reaches consensus. Finds bugs, security issues, and style violations with scored severity.
Agent
Budget-aware task routing using Qualixar OS cost engine. Analyzes task complexity, selects the cheapest model that meets quality requirements, and tracks spend against budget. Uses POMDP routing for optimal cost/quality tradeoff.
Agent
Designs optimal multi-agent teams using Qualixar OS Forge. Analyzes tasks, selects topology (12 options), assigns specialized agents with tools, and estimates cost using POMDP routing.
Agent
Quality gating judge using Qualixar OS's multi-judge consensus pipeline. Evaluates deliverables against acceptance criteria, scores quality dimensions, and issues PASS/FAIL verdicts. Blocks task completion when quality is insufficient.
Agent
Deep research agent using Qualixar OS's multi-provider routing. Searches the web, crawls sources, cross-references findings, and produces a structured report with citations. Supports market research, competitive analysis, and technical investigation.
Agent
Selects the optimal agent topology for a given task from Qualixar OS's 12 built-in topologies. Considers task structure, interdependence, quality requirements, and cost constraints to recommend the best execution pattern.
Agent
Manages Qualixar OS tasks — submit, monitor, and inspect agent-generated work.