docker

Wrapper is a self-hosted CLI for hosting, managing, and observing multiple Slack-based AI agents, each isolated in its own hardened container with Langfuse tracing.

Self-hosted Hacker News reader that summarizes top stories with AI, translates them into 20+ languages, personalizes the feed, and sends a daily briefing to Telegram.

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

A hands-on lab toolkit for Docker and container security, covering CIS checks, image hardening, signing, SBOMs, admission control, runtime security, and AI context-poisoning defenses.

Hotcell is a self-hostable sandbox SDK for AI agents that runs isolated sandboxes on local hardware or servers. The page shows setup, CLI commands, key handling, egress control, and support for containers or microVMs.

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.

A CROWDB blog post showing how to run an Iceberg table stack in one Docker container, write sample data with PyIceberg, and inspect the results in pandas and the local console.

Self-hosted cloud coding agent infrastructure for running Claude Code and Codex in per-thread sandboxes with a single Docker Compose setup.

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.

Loa is a local-first autonomous coding agent for longer engineering tasks, built around a mutable DAG, persistent task state, and structured planning/execution. The repo shows quick start, installation, and runtime details, plus support for local or self-hosted inference and an optional Docker sandbox.

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.