Show HN: Task Orchestrator – Production Safety for Claude Code Agents

I've been using Claude Code heavily for months. It's great for velocity, but I kept hitting the same problems: - Agent hallucinates file paths that don't exist - Claims "tests pass" without running them - Same errors recurring across sessions - No way to catch failures that aren't crashes The tools exist to catch crashes. Nothing exists to catch semantic failures - when the agent confidently gives wrong answers. So I built Task Orchestrator - an MCP server that adds an "immune system" to Claude Code: 1. Semantic failure detection - catches hallucinations, not just crashes 2. ML-powered learning - remembers failure patterns, warns before similar prompts 3. Human-in-the-loop - queues high-risk operations for approval 4. Cost tracking - see exactly what you're spending 5. Self-healing circuit breakers The math problem: at 95% per-step reliability, a 20-step workflow has only 36% success rate. That's not a bug - it's compound probability. Technical details: - 680+ tests - Provider-agnostic (works with any LLM) - MCP native for Claude Code - MIT licensed What features would you want to see that would improve your AI agent workflows?