{"repo":"qualixar/qualixar-os","free":true,"listed":false,"github":"https://github.com/qualixar/qualixar-os","clone":"git clone https://github.com/qualixar/qualixar-os.git","description":"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","language":"TypeScript","stars":41,"topics":["agent-framework","agent-orchestration","agent-os","agent-reliability","ai-agents","llm-routing","mcp","multi-agent","qualixar","typescript"],"license":null,"category":"ai-agents","readme_excerpt":"Qualixar OS The Universal OS for AI Agents One platform. Every model. Every framework. Every transport. Qualixar OS is the operating system that runs AI agents — yours and everyone else's. It doesn't replace your agent framework. It powers it. Import agents from OpenClaw, NemoClaw, DeerFlow, CrewAI, LangGraph, or build native. Run them all through one dashboard, one config, one runtime. A Qualixar Research Initiative by Varun Pratap Bhardwaj What Makes This Unique To our knowledge, no other agent platform combines all of these: Capability Why It Matters --- --- Forge AI auto-designs agent teams Describe what you need in one sentence. Forge picks the agents, tools, topology, and budget. No manual team assembly. Judge pipeline with consensus Adversarial quality assurance built on AgentAssert research (arXiv:2602.22302). Multi-judge consensus, few-shot calibration, reliability scoring. 13 topologies including Hybrid PII-safe local/cloud split. Your sensitive data stays on your machine while cloud handles the rest. Native A2A protocol Agents talk to agents — internally and externally. Agent card discovery at /.well-known/agent-card . Among the first agent runtimes to support both MCP and A2A natively. 25 CLI commands Full native CLI, not just a wrapper. Task execution, marketplace, diagnostics, config, server management — all from your terminal. SLM-Lite memory Learns from every task. 4-layer memory store powered by SuperLocalMemory — backed by 3 peer-reviewed papers (arXiv:2604.","default_branch":null,"files":null,"tree":[],"storefront":"/r/qualixar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/qualixar/qualixar-os/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}