Built an agent harness with cost control and native MCP support

I built this repo because I wanted to keep control over what agents do, how much they cost, and what decisions they make. Most tools I tried wouldn't let me see the prompts, audit the costs, or figure out why an agent did something. Agentic Harness is my attempt to fix this. Its basically a Python infrastructure that turns YAML files into executable workflows with specialists. What makes it different: · Markdown audit log: every decision and cost is logged · 12 pre-built specialists: It comes with ready-to-use agents (researcher, coder, etc.) · Cost guardrails with circuit breakers in case an agent goes rogue · Native MCP support (Claude Code, etc.) · Works with local Ollama but also with other providers · Built-in review cycles to reduce errors Just released v0.1.0a3. Repo: https://github.com/frangelbarrera/agentic-harness