[Show r/AI_Agents] I built Kimss Forge: An MIT-licensed agent harness for production governance (MCP, kill switches, telemetry)

I’ve been orchestrating multi-agent systems and realized that while prototyping in LangGraph or Hermis is straightforward, keeping agents from burning through tokens or running amok in production is a nightmare. I just open-sourced Kimss Forge, an MIT-licensed agent harness designed specifically for production-grade governance.

Here is what it handles under the hood:

• Production Governance: Setting gateway=kimss enables out-of-the-box credit consumption telemetry and hard agent kill switches. It stops rogue loops before they max out your Azure AI Foundry quotas.
• Agent-Ready Architecture: The repository incorporates Model Context Protocol (MCP) server plugins and supports machine-readable documentation like llms.txt to give agents clear instructions and context. This ensures automated coding workflows (Cursor, Claude Code) can discover and interact with the product directly.
• Model Agnostic: Any model is free to use. You can swap LLM providers instantly without rewriting your backend orchestration logic.
• Microservice Integration: Designed to wrap smoothly around existing FastAPI microservices and plug directly into your current multi-agent workflows.

I would love to get feedback from developers actively moving agentic systems from local testing into enterprise production.

Repo: kimss.ai/open-source