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.
Eight products. One reliability layer.
Each product solves one failure mode of production AI agents. Use one. Use all eight. They compose.
Local-first memory that recalls in 69ms.
Learn more →P2P agent communication in <100ms.
Learn more →Calibrated judges. Auditable scorecards.
Learn more →assert(agent.tool == "search") ✓ assert(latency < 200ms) ✓ assert(no_pii_leak) ✓ forbid(retry > 3) ✓
Assertions that catch regressions in prod.
Learn more →Adversarial probes. Hardened skills.
Learn more →Five hooks that amplify, not just block.
Learn more →The first MCP gateway that learns.
Learn more →Peer-reviewed, not vibes-reviewed.
Every claim ships with a paper. Eight on arXiv as of May 2026, three of them on SuperLocalMemory alone.
Qualixar OS: A Universal Operating System for AI Agent Orchestration
Qualixar OSSuperLocalMemory V3.3: The Living Brain — Cognitive Memory for AI Agents
SuperLocalMemorySuperLocalMemory V3: Information-Geometric Agent Memory
SuperLocalMemoryAgentAssay: Token-Efficient Agent Evaluation via Stochastic Verdicts
AgentAssaySkillFortify: Securing the AI Agent Skill Supply Chain
SkillFortifyAgentAssert: Behavioral Contracts for AI Agent Compliance
AgentAssertSuperLocalMemory V2: Privacy-Preserving Multi-Agent Memory
SuperLocalMemoryWhat 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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