Monitoring

A daily email and dashboard tracking software releases, security advisories, outages and breaking changes across the vendors and repositories a team depends on, surfacing only what needs action rather than a full news feed.

• Security
• Monitoring

An event-driven, harness-neutral API and command-line tool that watches every coding agent running on a machine and lets a developer inspect the sessions, subagents and tool calls they leave behind, without polling.

• Coding agents
• Monitoring

A self-hosted dashboard for visualizing Claude Code usage from session transcripts, with time-correct cost accounting, per-project attribution, and support for ingesting Codex and Kimi CLI transcripts as well.

• Coding agents
• Monitoring

A self-hosted infrastructure suite that deploys a multi-service observability pipeline for LLM applications, covering cost, token and semantic-cache metrics across Postgres, ClickHouse and Redis, with Kubernetes and Terraform options.

• Containers
• Monitoring

A Chrome extension that connects to one or more Qdrant vector database clusters and shows cluster health, collection configuration, shard distribution and performance in real time.

• Databases
• Monitoring

A CLI-first, local-first observability tool for LLM applications that traces and stores LLM calls, vector-store queries and LangChain steps in SQLite, then uses an LLM of your choice to help investigate the root cause of failures.

• AI evals
• Monitoring

A hierarchical multi-agent example system for AWS CloudOps that answers questions about costs, AWS Health events and network resilience through a supervisor agent that delegates to specialized FinOps, governance and operations agents.

• Agent frameworks
• Monitoring

A terminal system monitor purpose-built for local LLM inference, showing live tokens per second, VRAM-spill and throttle warnings and other GPU metrics nvidia-smi does not expose, alongside a full htop or btop-class system monitor.

• Terminals
• Monitoring

A Python MCP server that bridges AI coding assistants with the OpenTelemetry ecosystem, giving them live access to documentation, examples, semantic conventions, and instrumentation-quality scoring.

• MCP servers
• Monitoring

A self-hosted, open-source monitoring platform that uses an LLM to analyze alerts, pick a runbook, and execute automated remediation, in addition to standard metrics and PromQL dashboards.

• Monitoring

A real-time terminal dashboard, styled like htop, for monitoring an LLM inference cluster running vLLM, SGLang, LMCache, NVIDIA NIM, or NVIDIA Dynamo, auto-discovering pods in Kubernetes with no port-forwarding required.

• Inference
• Monitoring

A self-hosted, read-only AI agent for Kubernetes that answers questions using a local Mistral model through Ollama and reasons about a cluster's actual live pods, events, and logs rather than generic advice.

• Containers
• Monitoring

A collection of .NET source generators for cross-cutting concerns such as structured logging, OpenTelemetry tracing, retry and cache aspects, DTOs and CRUD APIs, generating code at compile time with no reflection.

• Libraries
• Monitoring

A terminal log analyzer that turns files, compressed archives, Docker containers or OpenTelemetry streams into structured, filterable, annotatable data, with an MCP server for exporting findings to an AI assistant.

• Debugging
• Monitoring

A self-hosted operational database for auditing AI agent behavior, recording each step's causal chain back to the user message so a team can answer why an agent called a given tool.

• Databases
• Monitoring

A distributed database for OpenTelemetry metrics, logs and traces whose only durable storage is an object store, so a strictly acknowledged write survives the crash of any Ravel process with no write-ahead log or replicated ingest layer.

• Databases
• Monitoring

A real-time .NET reverse proxy and dashboard that intercepts every API request and response between Claude Code and the Anthropic API, so a developer can inspect traffic and MCP tool calls.

• Debugging
• Monitoring

A local, cross-tool usage dashboard for AI coding assistants that reads the logs and local databases already kept by Claude Code, Cursor, Kiro, Copilot and Codex to show cost and workflow patterns.

• Coding agents
• Monitoring

A callback library for Hugging Face's Trainer that forwards training events, such as loss and epoch boundaries, to an observability backend through Pydantic Logfire, without a training script needing to be modified or a custom callback subclass written for each project.

• Models
• Monitoring

An observability software development kit for multi-agent AI systems, extending OpenTelemetry's generative-AI semantic conventions and exporting to any OpenTelemetry-compatible backend.

• AI evals
• Monitoring

A real-time monitoring dashboard and auto-generated wiki for the Hermes AI agent, showing live sessions, tool calls and activity while also documenting the agent's installed skills, plugins, tools and configuration.

• Monitoring
• Documentation tools

An MCP server that lets an AI assistant search and manage a Kibana instance's saved objects using natural language, over either a local stdio connection or a remote HTTP endpoint.

• MCP servers
• Monitoring

A vendor-neutral collection of skill files that teach an AI coding agent how to instrument code with OpenTelemetry, covering SDK setup, semantic conventions, collector pipelines and OTTL transformations.

• Agent skills
• Monitoring

A single command-line tool that checks remaining quota, rate limits and cost across more than 16 AI coding assistant and LLM providers, instead of checking each provider's own dashboard.

• CLI tools
• Monitoring