Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

AI coding workstation: Claude Code + web UI + 8 AI CLIs + headless browser + 50+ tools

Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.

💾 Model Context Protocol (MCP) server for Synology NAS - Enables AI assistants (Claude, Cursor, Continue) to manage files, downloads, and system operations through secure API integration. Features Docker deployment, auto-authentication, and comprehensive file system tools.

MCP Aggregator, Orchestrator, Middleware, Gateway in one docker

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

90+ production-safe OpenStack tools for AI agents via MCP. Project-scoped & read-only by default. Works with Claude, Open WebUI & any MCP client. FastMCP + OpenStack SDK. Available on PyPI, Docker Hub & Smithery.

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

Yet another WebUI for Nginx

Boilerplate built for AI coding agents, tools, CLI

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

Supercharge AI Agents, Safely

Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new, MCP server

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

Agent-ready DevOps, security, infrastructure, and compliance knowledge base with 80+ skills across Kubernetes, Terraform, AWS/Azure/GCP, AI platform operations, container hardening, SOC2/ISO27001, and incident response—plus ready-to-run scripts, templates, and playbooks for SRE, platform, and security teams.

Let your AI coding agent self-host any open-source app for you. 2,200+ verified recipes — provisioning, DNS, TLS, hardening. Works with Claude Code, Codex, Cursor, Aider, OpenClaw, Hermes.