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Open Source · Local-First · v3.4.41

AI Reliability
Engineering

The open-source platform for production-grade AI agents. Memory that doesn't hallucinate. Assertions that catch regressions. Chaos that breaks them on purpose.

npm install qualixar-osMIT · Apache · AGPLBuilt for engineers who got tired of agents lying
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The Stack

Eight products. One reliability layer.

Each product solves one failure mode of production AI agents. Use one. Use all eight. They compose.

Qualixar OSv2.2

Agent OS with judge pipeline + 13 topologies.

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SuperLocalMemoryFlagship

Local-first memory that recalls in 69ms.

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SLM MeshMesh

P2P agent communication in <100ms.

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AgentAssayEval

Calibrated judges. Auditable scorecards.

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AgentAssertABC
assert(agent.tool == "search") 
assert(latency < 200ms)        
assert(no_pii_leak)             
forbid(retry > 3)               

Assertions that catch regressions in prod.

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Agent Amplifierv1.0

Five hooks that amplify, not just block.

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Why Qualixar

What makes us different.

Open source by default

AGPL or Apache on every product. Read it, fork it, ship it. No "open source" with a tracking pixel.

Local-first

Memory, evals, telemetry — all on your machine. Your agents don't phone home unless you tell them to.

Zero cloud lock-in

Every product runs against any LLM provider, any vector store, any orchestrator. Swap freely.

Peer-reviewed

Eight arXiv papers backing the claims. The benchmarks reproduce. The math is in the appendix.

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