Open highlighted repo slot
Put your repository first
Promote a GitHub repo at the top of Awesome repository list views for 7 days.
GitHub projects from awesome lists
Search names, descriptions, topics, tags, and stacks, then tune results by ecosystem, freshness, health, and cross-list signal.
Open highlighted repo slot
Promote a GitHub repo at the top of Awesome repository list views for 7 days.
A tool to track SLA, SLO and Error budgets
React components for visualizing traces from AI agents
openITCOCKPIT is an Open Source system monitoring tool built for different monitoring engines like Nagios, Naemon and Prometheus.
APO is a comprehensive observability platform combining OpenTelemetry with eBPF. Leveraging LLM to enable automated analysis and troubleshooting 🚀.
Open-source AI copilot that lets you chat with your observability data and code 🧙♂️
OrcaReplay — Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.
This repository contains the deployment configurations for the Observatorium instances
inspectIT Ocelot - Java agent for collecting application performance, tracing and behavior data
Fast and lightweight log transport and processing.
Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to track agent actions.
AI agent-native observability and debugging for Django.
Lightweight self-hosted application monitoring for small servers. Spring Boot, Quarkus, SQLite history, simple charts. No Prometheus/Grafana stack required.
MCP server for Dynatrace Observability
SLOs, Error windows and alerts are complicated. Here an attempt to make it easy
A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — deployed on the provider side, no SDK changes required.
eBPF agent and MCP server for GPU causal observability
A microservice (sidecar) that helps instantly determine the status of your PostgreSQL hosts including whether they are alive, which one is the master, which ones are replicas, and how far each replica is lagging behind the master.
Open-source oncall management Alerts, Incidents, AI post-mortems. Self-hosted alternative to PagerDuty & incident.io. BYO-AI, Works with Prometheus, Grafana, Datadog, Slack, and Teams
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Ochi is a fast, cost-effective, Loki compatible database for logs.
🇺🇦🇵🇱 A static analysis tool for OpenTelemetry Collector configurations. Built on OPA/Rego, it validates your pipelines, receivers, processors, and exporters against customizable policy rules – catching misconfigurations before they reach production
Observability for AI coding assistants — cost tracking, efficiency scoring, and anti-pattern detection for Claude Code, Cursor, Copilot, and more. Local-first; New Relic optional.
Unified observability for logs, metrics and traces — low overhead instrumentation (Rust, Unreal Engine 5), OTLP ingestion, SQL analytics on DataFusion over Parquet, presentation through notebooks, Grafana and Python. Self-hosted.
Lightweight cost observability for every API call in your stack. Track LLM tokens, database ops, and external services from your terminal.
Self-hosted observability platform — error tracking, performance tracing, metrics, uptime monitoring, and profiling.
Lightweight self-hosted telemetry: errors, events, sessions, and a dashboard. Fastify API, Next.js UI, PostgreSQL, @telemetry-tracker/* SDKs.
A Model Context Protocol (MCP) server for GreptimeDB
The AI agent memory layer you can audit — local-first memory governance for AI agents: citations, trust policies, trace receipts, rollback. SQLite, sidecar-first, OpenClaw plugin.
Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you swap models or edit prompts.