Keep is an open-source AIOps and alert management platform built with Python FastAPI and Next.js. It provides a single pane of glass for monitoring alerts from 110+ integrations, alert deduplication, correlation, enrichment, and filtering, YAML-based workflow automation similar to GitHub Actions, AI-powered correlation and summarization, and customizable dashboards for incident management. With 12,100+ GitHub stars, Y Combinator backing, and an Elastic partnership, Keep is the open-source AIOps platform that centralizes alert management across your entire monitoring stack into a single customizable dashboard. Alert deduplication identifies duplicate notifications across providers, correlation groups related alerts into incidents based on rules or AI-powered semantic analysis using pluggable LLM backends supporting OpenAI, Anthropic, and local models via Ollama, and enrichment adds context from external sources like CMDBs and databases. Workflow automation follows a GitHub Actions paradigm with declarative YAML files defining triggers, conditions, and actions that can query MySQL, update Jira tickets, send Slack messages, execute Python scripts, or call REST APIs. Authentication supports no-auth, database, Auth0, Keycloak, OAuth2 Proxy, Okta, and OneLogin. The Common Expression Language enables advanced alert querying, slicing, and rule-based grouping to reduce noise. On RepoCloud, deploy Keep on a dedicated VPS with Docker Compose, root SSH access, and complete control over your alert infrastructure, all under the MIT license.

Together with relatives and fellow researchers anywhere in the world, family historians can build, visualize, and preserve shared ancestry databases using Gramps Web, a self-hosted collaborative genealogy platform. Interactive family tree charts let you explore ancestor, descendant, hourglass, relationship, and fan views across configurable generation depths, while inline editing buttons allow you to add parents, spouses, and children directly inside the graph and export finished diagrams as SVG files. When tracing where ancestors lived and migrated, the interactive map plots life events across OpenStreetMap and OpenHistoricalMap layers with a historical time slider and custom image overlays, complemented by a zoomable chronological timeline spanning centuries. Photograph collections become searchable archives through automated face detection that tags relatives in two clicks, alongside an integrated family history blog for publishing illustrated biographical stories. Researchers can also analyze autosomal DNA match segments in an interactive chromosome browser, determine patrilineal Y-DNA haplogroups locally without sending genetic data to third parties, and query people, places, citations, and notes using Gramps Query Language filters or a conversational AI assistant. Bidirectional synchronization with Gramps Desktop, full transaction history with undo, role-based privacy controls for living individuals, and pre-filled searches for FamilySearch and Ancestry keep every record accurate and protected. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.