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QALIXAR OS
The universal operating system for AI agents
Run AI agents from any framework through one OS. Forge AI designs teams automatically — describe your goal, it picks models, topology, and budget. 13 execution topologies with formal semantics. Judge pipeline evaluates every output. 24-tab dashboard for monitoring. Cost-quality-latency routing across 15 providers. SLM-Lite local memory. 25 MCP tools. 2,936 tests. Backed by a 20-page peer-reviewed paper : https://arxiv.org/abs/2604.06392 Install: npx qualixar-os
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...
About QALIXAR OS on Product Hunt
“The universal operating system for AI agents”
QALIXAR OS was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #124 on the daily leaderboard. Run AI agents from any framework through one OS. Forge AI designs teams automatically — describe your goal, it picks models, topology, and budget. 13 execution topologies with formal semantics. Judge pipeline evaluates every output. 24-tab dashboard for monitoring. Cost-quality-latency routing across 15 providers. SLM-Lite local memory. 25 MCP tools. 2,936 tests. Backed by a 20-page peer-reviewed paper : https://arxiv.org/abs/2604.06392 Install: npx qualixar-os
On the analytics side, QALIXAR OS competes within Software Engineering, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how QALIXAR OS performed against the three products that launched closest to it on the same day.
Who hunted QALIXAR OS?
QALIXAR OS was hunted by varun pratap Bhardwaj. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of QALIXAR OS including community comment highlights and product details, visit the product overview.
varun pratap Bhardwaj