A platform for building reliable AI agents

The open-source MultiAgentOps evaluation and verification harness for any industry business workflow.

Open-source AI model evaluation and benchmarking framework for LLMs (OpenAI, Ollama, Claude, Gemini)

The "Cloudflare for AI Agents". 7-layer security interceptor, real-time observability dashboard, and automated reliability testing for MCP and AI tool chains. Prevent hallucinations, prompt injection, and destructive tool calls.

Production-grade TypeScript AI runtime focused on reliability, governance, and reproducible LLM systems. Multi-provider gateway, agents, RAG, workflows, policy engine, audit trails, and deterministic testing — built for teams shipping AI in production.

MCP server for the Ejentum Logic API. Exposes the four cognitive harnesses (reasoning, code, anti-deception, memory) as MCP tools any agentic client can call.

Architectural standards and best practices for building reliable AI Agents and LLM workflows. Defining the framework for AI Reliability Engineering (AIRE).

Benchmark for evaluating advanced reasoning, recursive dependency resolution, and robustness capabilities of large language models in dynamic, noisy, and structurally challenging environments.

Sheldon K. Salmon — AI Reliability Architect. Creator of the AION Constitutional Stack and the CERTUS certainty‑engineering methodology. He designed, directed, and red‑teamed VERITAS — applying epistemic scoring, Uncertainty Mass, and permanent STP seals to community crisis data. Code is open source. The judgment is not.

AION Scaffold — Intelligent tree-to-filesystem generator. Built by Sheldon K. Salmon, AI Reliability Architect. Part of the AION Constitutional Stack. Free forever. No tracking.

AI evaluation and reliability system for reasoning about trust, performance, and failure modes in AI systems | AditiKhare.com — AI Product Ecosystem

Enterprise AI system for decision intelligence — transforming research into scalable, context-aware insights at production scale | AditiKhare.com — AI Product Ecosystem

A behavioral framework opposing native fluency to authentic fluency — the structural tension RLHF creates and Claude Mythos Preview makes urgent.

A multi-agent cognitive architecture solving the LLM state-dependency problem with persistent memory and a mandatory self-correction loop. An architecture that is built on a more profound and biologically resonant principle: memory is an active component of intelligence itself.

Orchestration runtime for AI agent workflows that preserves task-state fidelity, prevents reasoning drift, and reduces wasted computation in long-horizon pipelines.

Developer-first prompt engineering patterns for grounded, testable, and reliable AI outputs.

Lightweight benchmark harness for AI-driven business workflows

Research archive — eight published papers, Mahdi Ledger, and empirical foundations of the LC-OS governance framework.

Mine corrections from AI chat logs. Gate the next response before drift ships.

UAICP (Universal Agentic Interoperability Control Protocol): open reliability contract for AI agent workflows with evidence gating, policy controls, and auditability.