Hey Product Hunt -- Varun here. I've been building multi-agent AI systems and kept running into the same problem: every project required rebuilding orchestration from scratch. Different frameworks, incompatible state management, no unified way to control cost or quality. Agents need what programs got in the 1970s -- an operating system that handles scheduling, memory, routing, and failure recovery. That's Qualixar OS. I also published a 20-page paper formalizing the topology semantics because I believe agent infrastructure deserves the same rigor we apply to databases and compilers. The thing I'm most proud of is the quality process: before shipping v2.2.0, I ran 7 independent AI auditors against the codebase with zero shared context. They found 76 real issues. I fixed every single one. That's the bar I want to set. The honest truth: I lost all the code in March to a catastrophic data loss. Rebuilt it from architecture docs. The second version came out cleaner. What I'd love from you: - Try `npx qualixar-os` and tell me what breaks - Which topology would you reach for first? - What's the one feature that would make you use this daily? Paper: https://arxiv.org/abs/2604.06392 GitHub: https://github.com/qualixar/qual...

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p/qalixar-os

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3d ago

Launching tomorrow: An OS for AI agents (solo build, 2,936 tests, 20-page paper)

Hey PH community,

Tomorrow I'm launching Qualixar OS a runtime that handles the 80% of multi-agent AI work that isn't building agents: routing, quality control, cost tracking, memory, team design.

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QALIXAR OS

The universal operating system for AI agents

The universal operating system for AI agents

Forum Threads

Launching tomorrow: An OS for AI agents (solo build, 2,936 tests, 20-page paper)

Forum Threads

Launching tomorrow: An OS for AI agents (solo build, 2,936 tests, 20-page paper)