Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

AI observability platform for production LLM and agent systems.

Agent Skills as a Memory Layer

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

TraceRoot - open-source observability and self-healing layer for AI agents. YC S25

Intercept and inspect Coding Agent API traffic from Claude Code, Codex CLI, Gemini CLI, Cursor CLI, OpenCode, Kimi, Pi, and Hermes in a local trace viewer.

Stop AI agents from doing things you didn't ask for.

Read-only observability plugin for Hermes Agent: journeys, crossings, guideposts, and reports.

🐼 open source agent engineering platform: traces, evals, and metrics to debug and improve your AI agents. Integrates with LangGraph, CrewAI, Claude Agent SDK, and more.

Local-first observability for AI agents, with a built-in dashboard. Cost, sessions, anomalies, and conversation replay — all on your machine.

Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monitoring, triaging, troubleshooting, health checks — into Claude Code, Cursor, and more.

Open intelligence router for LLM agents

strace for AI agents. Capture and replay every tool call, prompt, and response from Claude Code, Cursor, Gemini CLI or any MCP client

Real-time monitoring of your production agents. No raw content transmitted.

Make your OpenClaw agents better, cheaper, and faster.

Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..

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

A visual layer for AI agent orchestration. Independent analysis, structured synthesis. Local or cloud LLMs.

Liquefy is a local-first OpenClaw vault system for packing, verifying, searching, and auditing agent runs with domain-aware compression, policy/redaction, and proof artifacts.

Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility. pip install open-agent-traces