monitoring

Trace-native CI/CD for AI agents — production failures become regression tests that block the PR. Auto-detect, cluster, freeze into hermetic cases, replay in CI for $0.

🦀 Crabwalk 🦀 Real-time companion monitor for OpenClaw agents.

☎️ Advanced error handler and logger for dart and flutter apps

An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.

🔐 Secure, real-time monitoring dashboard for OpenClaw AI agents. Auth, TOTP MFA, cost tracking, live feed, memory browser and more.

AI-native open-source alternative to Vercel + Sentry + PostHog + Pingdom + Resend + E2B. 440+ CLI operations with drop-in skills for Claude Code, Codex & OpenCode — deployments, analytics, session replay, error tracking, OpenTelemetry, email, sandboxes & AI gateway in one self-hosted Rust binary.

MCP Monitoring with eBPF

A beautiful, zero-dependency command center for OpenClaw AI agents

MCP SSH Server: 37 tools for remote SSH management | Claude Code & OpenAI Codex | DevOps automation, backups, database operations, health monitoring

Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry

See your agent think. Zero-config observability & governance for 20+ AI agent runtimes: OpenClaw, Claude Code, OpenAI Codex, Cursor, Aider, Goose, NVIDIA NemoClaw, NanoClaw & more. Live token costs, sessions, tool calls, crons.

AI API gateway that ends manual channel switching with smart routing, auto failover, exponential cooldown, multi-URL scheduling, live request monitoring and soft-error detection.

React components for visualizing traces from AI agents

You’re adaptive AI assistant for your work.

🤖 AI assistant command and control dashboard — Spawn more Overlords!

Graphsignal Profiler

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

Plug-and-play homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, host health. Built-in read-only MCP server so AI agents can explore it too.

Python client library for improving your LLM app accuracy