🔍 AI observability skill for Claude Code. Debug LangChain/LangGraph agents by fetching execution traces from LangSmith Studio directly in your terminal.

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

Local open-source dev tool to debug, secure, and evaluate LLM agents. Provides static analysis, dynamic security checks, and runtime monitoring - integrates with Cursor and Claude Code.

Cut your OpenClaw / ZeroClaw token bill. Find which model earns its cost. Prove whether optimizations actually work. Local, no upload.

Diagnose your AI agents in production. Extract policies from prompts, evaluate traces, generate diagnostic reports.

Local flight recorder for AI browser agents. Debug Browser Use, Stagehand, Skyvern, and Playwright + LLM runs with screenshots, model I/O, and failure timelines.

A real-time observability and debugging layer for AI agents.

Visual debugging, tracing, and replay for agent workflows.

ChainWatch is a flight data recorder for multi-step AI systems. It's a CLI-based tool that records every step in an AI decision chain, links them together in order, prevents tampering, and allows you to verify the chain's integrity and replay the full decision flow.

🔍 A beautiful web viewer for AI agent session files. Browse Claude Code & OpenClaw conversations with chat-style UI, timeline visualization, and zero setup.

Explain why your agent failed — root-cause debugging, memory attribution, and run divergence for LLM agents.

Failure attribution for agent pipelines — find which span caused the failure and what kind of fix it needs.

Local recorder and replay verifier for AI-agent command runs.

Enforce communication discipline & execution hygiene for agent teams. Detect loops, route violations, stale work, and missing ownership.

Android Agent Reliability Runtime A debugging and safety runtime for mobile GUI agents: detect readiness, block unsafe actions, verify progress, diagnose failures, and save reproducible traces.

Test bench and /v1/messages capture proxy for Mission Control — see what the model actually saw.

RunLens helps teams compare and debug AI agent runs with step timelines, run diffs, and cost analysis.

🔄 Record, replay, and debug AI agent execution traces — the DevTools for AI agents

Preprint paper package — Agent Trajectory Replay for Debugging Tool-Using AI Workflow Regressions (Zenodo DOI 10.5281/zenodo.20073574)

Verify that AI agents actually executed API/tool calls they claim.