Open Source Docker Projects
Docker is a platform and set of tools for packaging applications with their dependencies into portable containers. Containers isolate processes while sharing the host operating system, helping teams run software consistently across development, testing, and production environments. This approach can simplify deployment, improve resource use compared with virtual machines, and make services easier to reproduce and scale.
Open source tools in this area include container runtimes, image builders, orchestration systems, deployment dashboards, networking utilities, and development environments. When choosing one, consider its license, maintenance activity, security practices, supported platforms, resource requirements, and compatibility with your existing workflows. These tools are useful to developers, system administrators, and organizations that build, deploy, or operate containerized applications, from a single home server to larger infrastructure.
153 repositories · updated October 4, 2026
agent-observability: Monitor AI Coding Agents Locally
A self-hosted OpenTelemetry stack for monitoring Claude Code and OpenAI Codex. It routes telemetry to Prometheus, Loki, and Tempo, then presents usage, performance, and activity in Grafana dashboards.
openmake_llm: Coordinate AI Models, Agents, and Tools
OpenMake is a self-hosted AI workspace that coordinates chat models, agents, and tools in one place. It suits people who want multi-step AI workflows with local or open-weight models, while keeping infrastructure and model choices under their control.
codeg: Coordinate AI Coding Agents in One Workspace
Codeg brings multiple AI coding agents into a shared workspace for conversations, code changes, and delegated tasks. It suits developers who want to compare or coordinate agents across desktop, self-hosted, and Docker setups.
ksail: Create and Operate Kubernetes Clusters
KSail is a Go-based toolkit for creating and operating Kubernetes clusters across local, nested, and cloud providers. It brings provisioning, GitOps, secrets, cluster operations, and AI interfaces into one tool, for developers and platform teams who want a unified workflow.
harnessrouter: Unify Agent Harnesses Behind One API
HarnessRouter is a self-hosted Python service that exposes multiple agent harnesses through a unified, OpenAI Responses-compatible API. It suits teams building agent features that want shared session, streaming, file, and cancellation handling across harnesses.
n8n-sandbox-service: Run Commands in Isolated Environments
n8n-sandbox-service provides an API for creating isolated, on-demand environments to run commands and manage files. It is intended for teams that need to execute work in containers or Firecracker microVMs and manage those environments centrally.
Local_LLM_Linux_Troubleshoot: Diagnose Linux with a Local LLM
A local web app and CLI that uses a llama.cpp model to investigate Linux issues, explain likely causes, and suggest repairs. It starts with read-only diagnostics and asks for permission before running system-changing commands.
sandbase-harness: Run Self-Hosted AI Agent Sessions
SandBase Harness is a local-first runtime for running AI agents with persistent sessions, governed tools, sandboxed execution, and audit trails. It suits teams that need to operate and inspect agents on their own infrastructure rather than build only around a model SDK.
ArcReel: Turn Stories and Scripts Into Editable Videos
ArcReel is a self-hosted workspace for turning novels, scripts, or product materials into storyboards and short videos. It organizes AI-generated assets and production steps, tracks costs, and can export a CapCut-compatible workflow as a Jianying draft for further editing.
metamcp: Combine MCP Servers Behind One Gateway
MetaMCP combines configured MCP servers into unified endpoints and adds controls for authentication, namespaces, and middleware. It is aimed at teams and developers who want to host and manage reusable MCP tool collections.
agent-sandbox: Run Coding Agents in a Locked-Down Environment
Agent Sandbox runs AI coding agents in Docker containers with restricted workspace access and default-deny network controls. It suits developers who want to limit an agent’s access to local files, network services, and credentials while retaining CLI or IDE workflows.
anythingmcp: Turn APIs and Databases into MCP Tools
AnythingMCP is a self-hosted gateway that turns REST, SOAP, GraphQL, OData, and SQL systems into tools for MCP-compatible AI clients. It combines connector generation with access controls and auditing for teams that want AI access to existing systems.