{"repo":"Rocketgraph/rocketgraph","free":true,"listed":false,"github":"https://github.com/Rocketgraph/rocketgraph","clone":"git clone https://github.com/Rocketgraph/rocketgraph.git","description":"Agent layer for observability","language":"Python","stars":153,"topics":["datadog","loki","monitoring","anomaly-detection","machine-learning"],"license":null,"category":"analytics","readme_excerpt":"Rocketgraph 🚀 Self-hosted log clustering and streaming anomaly detection that drops in next to the observability stack you already run. What's in here  •  Quick start  •  Examples  •  Website  •  Community --- Why? Your monitoring tool tells you what you searched for . It rarely tells you what's unusual right now . Rocketgraph sits next to whatever you already pay for — Datadog, New Relic, Loki, CloudWatch, Sentry, ClickHouse — pulls a window of logs, mines structural templates, and flags the anomalous ones. It runs entirely inside your network. Your logs never leave your VPC. There's no SaaS tier to pay for. What's in here Component What it does --- --- 🧠 ML engine Clusters logs into structural templates and detects anomalies. Pulls directly from your existing log source — no parallel ingest pipeline. ⚡ @rgraph/otel-node AI agent that auto-instruments any Node.js service with OpenTelemetry in 90 seconds. Try it in 90 seconds Point it at any source you already use: Or skip the credentials entirely — download a log file and run it. Export from Datadog (CSV/JSON), kubectl logs app.log , or any raw log, drop it in, and analyse it locally: See the one-command log-file quickstart. That's the whole install. No schemas to provision, no accounts to create, no agents on hosts. 👉 Deep dive: ml/README.md for the ML engine · packages/otel-node for the OTel agent How it works (30-second version) Three deterministic algorithms ","default_branch":null,"files":null,"tree":[],"storefront":"/r/Rocketgraph","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Rocketgraph/rocketgraph/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}