docker

A self-hosted Docker Compose stack for running local AI services including Ollama, LiteLLM, Whisper, Kokoro, embeddings, and an MCP Gateway.

Open-source sandboxing and secure file system for agent code execution, with built-in job queues, execution history, retries, Docker isolation, and optional gVisor hardening.

A Dockerized home-internet latency monitor that tracks ping, traceroute, jitter, packet loss, and WAN load, then adds AI-written root-cause notes on a Grafana dashboard.

Subarr is an open-source coordination layer for the *arr subtitle stack. It adds subtitle coverage tracking, audio-language verification, provider success tracking, queue management, Whisper tuning, and post-transcription quality checks for Bazarr/Subgen workflows.

Open-source infrastructure for running and automating sandboxed coding agents, with local Docker setup, integrations, snapshots, sessions, and automations.

GreyFox Community Edition is a self-hosted AI traffic proxy and admin console for teams that want to control LLM usage, enforce per-user quotas, reuse cached responses, and keep traffic inside their own infrastructure.

Open-source AI-powered desktop automation agent that gives an LLM a fully isolated Ubuntu workspace with browser-based supervision, MCP access, audit logs, and OS-level control.

Open-source agentic end-to-end browser testing tool for web apps. It runs JSON-defined test journeys in Docker and can be used as a CLI or optional self-hosted web app.

SwarmWright is a self-hosted multi-agent AI orchestration platform for designing, running, and inspecting swarms of agents from markdown and config. The page highlights Docker-based setup, topology-enforced agent graphs, human approval steps, local storage, and detailed audit logs.

GrimmBot is an open-source autonomous AI agent that runs in a sandboxed Docker container, with persistent memory, task scheduling, browser control, and the ability to create custom tools over time.

A CLI for running long-lived autonomous coding agents in isolated Docker containers, with detach/reattach, review, commit, push, and optional browser preview workflows.

Local-first web console for creating, configuring, monitoring, and operating Dockerized Hermes AI agents across one or more trusted machines. The repo includes setup steps, runtime requirements, screenshots, and a detailed feature list covering agent management, provider defaults, credentials, chat, VNC, terminals, bac

An open-source, self-hosted AI DevOps pipeline that ingests GitHub webhooks, generates code patches with an LLM, runs them in network-isolated Docker sandboxes, and posts validated fixes back as PR comments.

An open-source control plane for running multiple AI coding agents in isolated Docker workspaces, with PR creation, review monitoring, CI-fix loops, and merge gating.

A secure Model Context Protocol server that gives AI assistants controlled terminal access with risk analysis, sandboxing, logging, filesystem protection, and optional Docker and Git features.

Open-sourced local multi-agent OS that runs three agents on consumer hardware, lets them form goals from environmental pressure, and supports self-modifying workflows through tool creation and change requests.

MCP server that lets AI coding agents work inside isolated dev containers using local Docker, DevPod, or GitHub Codespaces. It exposes tools for auth, workspace management, command execution, and container lifecycle handling.

An open-source AI agent platform for production workflows, with isolated containers, credential proxying, and support for 100+ business and productivity integrations.

A Docker-based sandbox for running AI coding agents with dropped capabilities, no-new-privileges, and no Docker socket access. It wraps the pi terminal coding agent and supports local file edits, persistent auth, and skills mounts.

Open-source CLI for spinning up disposable local or remote sandboxes for AI agents. It uses a manifest and Dockerfile to build fresh boxes, then exposes a single shell tool through MCP so an agent can work inside the sandbox without touching the host.

A technical blog post about using devcontainer + Nix + Docker, plus small helper tools, to keep one reproducible dev environment working for humans, CI, and AI agents.

Open-source codebase for building, deploying, and scaling AI agents across L1–L5 levels. The README shows a quick start, SDK installation, local dev setup, and a developer UI for running agents.

Docker blog post about a real AI coding agent failure and how Docker Sandboxes aim to contain destructive execution mistakes.