docker

Open-source security research tool for auditing Python AI agents and codebases with AST analysis and Docker-based runtime verification.

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.

Local privacy gateway that redacts sensitive text before sending prompts to external LLMs, then reconstructs the final answer locally.

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

Persistent cloud compute for AI agents, paired with an OpenAI-compatible model hub and usage caps from one account.

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 scheduled agent cockpit for running multiple Claude Code sessions in parallel, each in its own git worktree, with optional Telegram control, secret vaulting, and schedule-based guards that can avoid token spend on quiet runs.

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.

A self-hostable Slack-first agent harness that turns plain-English requests into specs, code changes, adversarial review, and pull requests, with local Docker and Fly deployment paths.

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.