I build Qualixar, my independent research initiative for AI agent reliability: decision routing, governed memory, behavioral contracts, statistical testing and verified execution.
10 core products · 10 public arXiv preprints
Start with the task you need to solve. Each product below links to its source, practical setup and supporting evidence.
Qualixar · My work and writing · SuperLocalMemory · AgentAssert
Choose the capability your workflow needs, then follow the setup, examples or research in Resources. Product names link directly to the source repositories.
| Product | Description | Focus | When to use it | Resources |
|---|---|---|---|---|
| Jev Decision Layer | Returns advisory choices from explicit options, with reasons, constraints and decision receipts. | Decision routing | Choose a task, tool, model tier or review route. | Product Recipes Guide |
| Bounded Loops | Runs agent loops and graphs within declared limits; independent gates check completion and hash-chained ledgers record results. | Verified execution | Fix failing tests or repeat a workflow until its acceptance check passes. | Product Recipes Proof |
| SuperLocalMemory | A governed memory control plane combining persistent context, multi-channel retrieval, knowledge graphs and workspace isolation. | Memory & governance | Carry project knowledge across agent sessions while controlling access, retention and context. | Product Workflows Research |
| SLM MCP Hub | Federates MCP servers behind three discovery-and-call tools, with shared backends and on-demand tool lookup. | Tool federation | Connect multiple clients to many servers without loading every tool definition up front. | Product Setup Routing |
| SkillFortify | Scans agent skills and MCP configurations using capability analysis, dependency checks and supply-chain reports. | Skill security | Inspect skills before installation and add security checks to your delivery pipeline. | Product Guide Synthetic benchmark |
| AgentAssert | Defines behavioral contracts and enforces hard or soft constraints against application-supplied agent state. | Runtime contracts | Check permissions, limits and required signals at an action boundary. | Product Templates Guide |
| AgentAssay | Measures behavioral regressions with execution traces, statistical verdicts and adaptive trial budgets. | Testing & measurement | Compare agent behavior after changing prompts, models or tools; reuse existing traces. | Product Guide Paper |
| Agent Amplifier | Adds effort routing, goal anchoring, convergence checks and token budgets to coding-agent sessions. | Coding runtime | Keep coding sessions focused and manage effort through supported host adapters. | Product Setup Post |
| SLM Mesh | Connects agents across harnesses with peer messages, shared state and advisory file locks, locally or across a LAN. | Agent coordination | Coordinate work between agent sessions on one computer or multiple networked machines. | Product Setup Post |
| Qualixar OS | Designs and runs agent teams, evaluates outputs through a judge pipeline, and retries with structured feedback. | Orchestration & judging | Run multi-agent tasks with quality review, model routing and budget tracking. | Product Setup Post |
Use each repository’s setup guide for supported hosts and operating modes. Benchmark results apply to their published datasets and protocols; the SkillFortify benchmark linked above uses generated specimens.
These public arXiv records are preprints. Read each paper for its assumptions, version, experimental scope and limitations. Listing a paper beside a product does not establish that every current feature was evaluated in that paper.
| Paper | arXiv | Related project |
|---|---|---|
| Bounded Loops: Pre-Run Spend Bounds, Proved Termination, and Verified Completion for Agent Harnesses | 2609.27871 | Bounded Loops |
| Agent Behavioral Contracts II: Certifying Compositional Reliability Without Assuming Independence | 2608.12895 | AgentAssert |
| SuperLocalMemory 4.0: The Governed Memory Operating System for AI Agents | 2608.08253 | SuperLocalMemory |
| Qualixar OS: A Universal Operating System for AI Agent Orchestration | 2604.06392 | Qualixar OS |
| SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems | 2604.04514 | SuperLocalMemory |
| SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory | 2603.14588 | SuperLocalMemory |
| AgentAssay: Token-Efficient Regression Testing for Non-Deterministic AI Agent Workflows | 2603.02601 | AgentAssay |
| Formal Analysis and Supply Chain Security for Agentic AI Skills | 2603.00195 | SkillFortify |
| Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agents | 2602.22302 | AgentAssert |
| SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning | 2603.02240 | SuperLocalMemory |
Try a recipe, inspect the source, and share the result in Qualixar Discussions. Ask setup questions in Q&A, propose a workflow in Ideas, or report a reproducible bug in the relevant repository.
If a product helps your work, star its repository to follow it. Access and participation remain open without a star.