Monte Carlo Agent Toolkit
ActiveDescription
Monte Carlo’s official toolkit for AI coding agents, bringing data observability, triage, troubleshooting, and health checks into Claude Code, Cursor, and similar tools.
Monte Carlo’s official toolkit for AI coding agents, bringing data observability, triage, troubleshooting, and health checks into Claude Code, Cursor, and similar tools.
A real-time observability toolkit for Claude Code agents that tracks hook events to monitor multi-agent coding workflows.
A toolkit for making AI agents and workflows measurably reliable, with epistemic measurement, Noetic RAG, sentinel gating, and grounded calibration.
An operational layer for coding agents with memory, validation, and feedback loops that compound across sessions.
SWE-AF is an autonomous software engineering fleet platform using a multi-agent factory architecture. It orchestrates planner, coder, reviewer, and verifier agents to automate the full software engineering lifecycle from issue analysis to code fix, scoring 95/100 on benchmarks.