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.

Latitude is the open-source ai monitoring platform.

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.

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

Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.

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.

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

Open-source observability dashboard for OpenClaw daemons — cost analyti cs, live monitor ing, and de bugging tools, all running on your own machine.

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

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

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..

Context-aware agentic LLM gateway & router that optimize your agentic workflows with every runs, works with any harnesses, any models, any workflows.

Open-source AI gateway for local agent clients: publish fusion-style multi-model workflows as OpenAI/Claude-compatible virtual models with traces, tokens, latency, and cost visibility.

Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.

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.

the agent experience layer · observability + memory for AI coding agents (Claude Code + Codex) · local-first, typed, yours

Observability for AI agents. See what your agent did, why it cost that much, and what to fix.

Real-time monitoring of production AI agents.