monitoring

A Model Context Protocol server for Uptime.com that lets AI assistants manage monitoring checks, alerts, outages, status pages, and account usage through tools and hosted or self-hosted deployment options.

Runtime safety net for LLM agents that detects runaway token growth, classifies failure patterns, and suggests fixes without extra LLM calls. The project includes a Rust core, Python SDK, examples, benchmarks, and benchmark claims across multiple models and runs.

Open-source package collection for BetterDB’s Valkey/Redis-based AI infrastructure, including semantic cache, agent memory, retrieval, monitoring, CLI, and an MCP server for assistants.

Open-source AI agent monitoring platform with tracing, issue grouping, evals, semantic search, alerts, and MCP access for coding agents.

Open-source, self-hosted CLI and platform for tracking how ChatGPT, Claude, Gemini, Perplexity, and local LLMs cite a site, with dashboards, API endpoints, MCP support, and reporting workflows.

An open-source CLI for inspecting live LLM inference processes on NVIDIA GPUs. It breaks down VRAM usage by component, shows runtime and model details, and projects memory savings from quantization strategies.

Local-first web console for creating, configuring, monitoring, and operating Dockerized Hermes AI agents across one or more trusted machines. The repo includes setup steps, runtime requirements, screenshots, and a detailed feature list covering agent management, provider defaults, credentials, chat, VNC, terminals, bac

Skill pack for Claude Code that helps monitor, troubleshoot, and audit Kubernetes clusters using agent-friendly skills and cluster tooling.

CTOP is a terminal-based monitoring tool for AI coding agents. It tracks running sessions, context windows, costs, logs, and process state for tools like Claude Code, Codex CLI, OpenCode, and Devin.