Qualixar OS
AI Reliability Engineering — The Universal Runtime for AI Agents
Qualixar OS is the orchestration runtime of the Qualixar AI Reliability Engineering platform. Thirteen execution topologies, Forge AI auto-design, adversarial judge pipelines, and cost-quality-latency routing — everything a production AI agent system needs, under one runtime. Backed by peer-reviewed research (arXiv:2604.06392) and 2,936 passing tests.
The Operating Layer Agents Never Got
Every team building multi-agent systems rebuilds the same infrastructure: routing, retries, memory, cost tracking, judge pipelines, topology management, observability. Agents end up as 18% of the code; the other 82% is plumbing. Qualixar OS is that plumbing — the operating layer that sits above frameworks, delivering reliability engineering guarantees instead of prototypes.
Key Capabilities
13 Execution Topologies with Formal Semantics
Sequential, parallel, hierarchical, DAG, debate, mesh, star, grid, forest, circular, mixture-of-agents, maker, and hybrid — each with published execution semantics. Switch topology without rewriting orchestration code.
Forge AI Auto-Design
Describe your task in natural language. Forge uses POMDP-based optimization to design the agent team, pick the topology, and route models across providers.
Adversarial Judge Pipeline
Every agent output evaluated by a configurable panel of critic agents. Consensus scoring, automatic retries on quality failures, full audit trail.
Cost-Quality-Latency Routing
Multi-objective model selection across ten-plus providers. FrugalGPT cascade, Pareto optimization, and LP-based routing choose the right model for each call.
24-Tab Real-Time Dashboard
Chat, Forge, Builder, Marketplace, Cost, Agents, Judges, Swarms, Memory, Traces, and fourteen more. Non-technical operators can run the system from a browser.
Universal MCP Bridge
Twenty-five MCP tools. Works from Claude Code, Cursor, Windsurf, VS Code, or any MCP-compatible client. Zero vendor lock-in.
SuperLocalMemory
Information-Geometric Memory for AI Agents
Local-first AI agent memory with mathematical foundations. 74.8% on LoCoMo without cloud dependency — highest local-first score reported. Fisher-Rao retrieval, sheaf cohomology, Langevin lifecycle. EU AI Act compliant.
SLM MCP Hub
The World's First MCP Gateway That Learns
One hub process, every MCP server, every AI client. 430+ tools exposed through 3 meta-tools — 79% fewer processes, 150K tokens saved per session. Federated tool discovery with shared cache, cost telemetry, and retrieval learning.
AgentAssert
Design-by-Contract for AI Agents
Formal specification and runtime enforcement of behavioral contracts for autonomous AI agents. Prevents drift, ensures compliance, enables composition.