Dockerholics is a GitHub repository with apps and examples from the Dockerholics group. It includes Docker Compose examples and a list of free applications that can be hosted locally in Docker containers, described as images the group experts have tried out and verified. The repository is MIT licensed.
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MemochÅ is a lightweight pastebin and hastebin alternative forked from mkr/bin, with no hard frontend JavaScript dependency. It can run via Node.js with configuration through environment variables, in Docker, or with Docker Compose. Customisation is possible by adding a style.css and addon.js file to a custom directory.
Analytics Engine combines PostgreSQL, n8n and Metabase to collect and analyze market data. The repository includes a Docker Compose environment and setup instructions.
dstack is an open framework for confidential AI that runs containers inside confidential VMs with Intel TDX, using existing Docker Compose files. It supports attested workload identities and native NVIDIA Confidential Computing on H100 and Blackwell GPUs, with options for self-hosted TDX machines or Phala Cloud.
Harbor is a CLI and companion app that starts a pre-wired local LLM stack. Users pick services such as Ollama, llama.cpp, vLLM, Open WebUI, SearXNG, Speaches and ComfyUI, and Harbor handles Docker Compose orchestration, configuration and cross-service connectivity with a single harbor up command.
Laminar is an open-source observability platform purpose-built for AI agents. It provides OpenTelemetry-native tracing with a one-line SDK setup, plain-English signals that alert in Slack, and an SDK and CLI for running evals. It is written in Rust with 20x trace compression, and can be used via a managed platform or self-hosted with Docker Compose.
Docker Compose with Traefik and lots of services
OxiCloud is a self-hosted cloud storage project written in Rust for files, photos, calendars and contacts. It includes built-in WebDAV, CalDAV and CardDAV protocols, plus files, previews, sharing, trash, search, favorites and recent items. Deployment options include Docker Compose, a Helm chart and a Nix module.
Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications. It supports hybrid vector search and scalar filtering, replication, elastic scaling, RESTful APIs, and SDKs for Python, Go, Java and Rust. It integrates with frameworks including LangChain and LlamaIndex and can be deployed via Kubernetes or Docker Compose.