open-forge

Category: Ops & Delivery | Uploader: zhangqi444 | Downloads: 0 | Version: v1.0（Latest）

Automate self-hosting of open-source apps on cloud infrastructure the user owns. Use when the user asks to "self-host", "deploy to my own cloud", "install X on AWS / Lightsail / EC2 / Azure / Hetzner / DigitalOcean / GCP / Oracle Cloud / Hostinger / Raspberry Pi / Kubernetes / Fly.io / Render / Railway / Northflank / exe.dev", "set up my own Ghost blog / Mastodon / WordPress / Nextcloud", wants to deploy the self-hosted personal AI agent **OpenClaw** (openclaw.ai — NOT the Captain Claw platformer game) or **Hermes-Agent** (Nous Research's self-improving AI agent at github.com/NousResearch/hermes-agent), wants to run **Ollama** (local-LLM inference server at ollama.com — pairs with every AI agent / chat UI as an OpenAI-compatible provider), wants to run **Open WebUI** (feature-rich self-hosted ChatGPT-like UI at github.com/open-webui/open-webui — pairs natively with Ollama and any OpenAI-compatible backend; adds RAG, web search, image gen, voice, multi-user), wants to run **Stable Diffusion WebUI** / **Automatic1111** / **A1111** (the most-popular open-source AI image generator at github.com/AUTOMATIC1111/stable-diffusion-webui — text-to-image, img2img, inpainting, ControlNet, LoRA; pairs with Open WebUI as an image-gen backend), wants to run **ComfyUI** (node-based AI image / video generation at github.com/comfyanonymous/ComfyUI — power-user alternative to A1111 with workflow graphs; same models, different UX; pairs with Open WebUI as image-gen backend), wants to deploy **Dify** (open-source LLMOps + AI app builder at github.com/langgenius/dify — visual workflow builder, RAG, multi-tenant; the "build a SaaS-grade AI app" platform, different category from chat UIs), wants to deploy **LibreChat** (multi-provider chat UI with deep enterprise plumbing at github.com/danny-avila/LibreChat — alternative to Open WebUI for teams; multi-user with social logins, per-user balance + transactions, agents + MCP, dedicated rag_api), wants to deploy **AnythingLLM** (RAG-focused work

Changelog: Source: GitHub https://github.com/zhangqi444/open-forge

Directory Structure

Current level: tree/main/plugins/open-forge/skills/open-forge/

📁 references/
- 📁 infra/
  - 📁 aws/
    
    📄 ec2.md 9.7 KB
    
    📄 lightsail.md 6.5 KB
  - 📁 azure/
    
    📄 vm.md 11.2 KB
  - 📁 digitalocean/
    
    📄 droplet.md 8.7 KB
  - 📁 gcp/
    
    📄 compute-engine.md 9.8 KB
  - 📁 hetzner/
    
    📄 cloud-cx.md 8.5 KB
  - 📁 oracle/
    
    📄 free-tier-arm.md 7.8 KB
  - 📁 paas/
    
    📄 exe-dev.md 5.0 KB
    
    📄 fly.md 9.1 KB
    
    📄 northflank.md 4.0 KB
    
    📄 railway.md 4.4 KB
    
    📄 render.md 6.9 KB
  - 📄 byo-vps.md 4.0 KB
  - 📄 hostinger.md 6.3 KB
  - 📄 localhost.md 5.2 KB
  - 📄 macos-vm.md 6.5 KB
  - 📄 raspberry-pi.md 7.3 KB
- 📁 modules/
  - 📄 dns-manual.md 2.1 KB
  - 📄 inbound-improvmx.md 2.7 KB
  - 📄 preflight.md 14.7 KB
  - 📄 smtp-resend.md 2.6 KB
  - 📄 tls-letsencrypt.md 3.6 KB
  - 📄 tunnels.md 4.6 KB
- 📁 projects/
  - 📄 aider.md 29.8 KB
  - 📄 anythingllm.md 40.6 KB
  - 📄 comfyui.md 42.2 KB
  - 📄 dify.md 44.1 KB
  - 📄 ghost.md 7.9 KB
  - 📄 hermes.md 39.3 KB
  - 📄 langfuse.md 28.2 KB
  - 📄 librechat.md 53.8 KB
  - 📄 ollama.md 35.7 KB
  - 📄 open-webui.md 32.0 KB
  - 📄 openclaw.md 50.0 KB
  - 📄 stable-diffusion-webui.md 44.2 KB
  - 📄 vllm.md 47.1 KB
- 📁 runtimes/
  - 📄 docker.md 6.1 KB
  - 📄 kubernetes.md 11.4 KB
  - 📄 native.md 14.8 KB
  - 📄 podman.md 7.2 KB
📄 SKILL.md 19.7 KB

SKILL.md

---
name: open-forge
description: Automate self-hosting of open-source apps on cloud infrastructure the user owns. Use when the user asks to "self-host", "deploy to my own cloud", "install X on AWS / Lightsail / EC2 / Azure / Hetzner / DigitalOcean / GCP / Oracle Cloud / Hostinger / Raspberry Pi / Kubernetes / Fly.io / Render / Railway / Northflank / exe.dev", "set up my own Ghost blog / Mastodon / WordPress / Nextcloud", wants to deploy the self-hosted personal AI agent **OpenClaw** (openclaw.ai — NOT the Captain Claw platformer game) or **Hermes-Agent** (Nous Research's self-improving AI agent at github.com/NousResearch/hermes-agent), wants to run **Ollama** (local-LLM inference server at ollama.com — pairs with every AI agent / chat UI as an OpenAI-compatible provider), wants to run **Open WebUI** (feature-rich self-hosted ChatGPT-like UI at github.com/open-webui/open-webui — pairs natively with Ollama and any OpenAI-compatible backend; adds RAG, web search, image gen, voice, multi-user), wants to run **Stable Diffusion WebUI** / **Automatic1111** / **A1111** (the most-popular open-source AI image generator at github.com/AUTOMATIC1111/stable-diffusion-webui — text-to-image, img2img, inpainting, ControlNet, LoRA; pairs with Open WebUI as an image-gen backend), wants to run **ComfyUI** (node-based AI image / video generation at github.com/comfyanonymous/ComfyUI — power-user alternative to A1111 with workflow graphs; same models, different UX; pairs with Open WebUI as image-gen backend), wants to deploy **Dify** (open-source LLMOps + AI app builder at github.com/langgenius/dify — visual workflow builder, RAG, multi-tenant; the "build a SaaS-grade AI app" platform, different category from chat UIs), wants to deploy **LibreChat** (multi-provider chat UI with deep enterprise plumbing at github.com/danny-avila/LibreChat — alternative to Open WebUI for teams; multi-user with social logins, per-user balance + transactions, agents + MCP, dedicated rag_api), wants to deploy **AnythingLLM** (RAG-focused workspace + agent platform at github.com/Mintplex-Labs/anything-llm — drop-in PDFs + URLs + GitHub repos, ask questions over them; built-in LanceDB; Desktop App + Docker + 8 cloud one-clicks), wants to install **Aider** (AI pair-programming CLI at github.com/Aider-AI/aider — runs in the terminal next to a git repo, edits files via diffs, auto-commits; pairs with any LLM provider including Ollama for local), wants to deploy **vLLM** (production-grade LLM inference server at github.com/vllm-project/vllm — high-throughput multi-tenant serving with PagedAttention + tensor parallelism + prefix caching; NVIDIA / AMD / Intel / CPU; Docker / Kubernetes / Helm / PaaS), wants to deploy **Langfuse** (open-source LLM engineering platform at github.com/langfuse/langfuse — observability, evals, prompt management, datasets, scoring; v3 six-service architecture with Postgres + ClickHouse + Redis + S3; Docker Compose, Kubernetes Helm chart, first-party Terraform modules for AWS / GCP / Azure, Railway one-click), or names any combination of an open-source app and a cloud provider. Walks the user through provisioning, DNS, TLS, outbound email (SMTP), and inbound email, in phases that are resumable across sessions via a state file at `~/.open-forge/deployments/<name>.yaml`. Supported today: Ghost on AWS Lightsail (Bitnami blueprint); OpenClaw via every upstream-blessed path documented at docs.openclaw.ai/install/* — AWS Lightsail blueprint, Docker Compose, Podman, Kubernetes (Kustomize), native installers (install.sh / install-cli.sh / install.ps1), ClawDock, Ansible, Nix, Bun, plus per-host adapters for AWS EC2 / Azure / Hetzner / DigitalOcean / GCP / Oracle Cloud / Hostinger / Raspberry Pi / macOS-VM (Lume) / BYO Linux server / localhost / Fly.io / Render / Railway / Northflank / exe.dev. More projects and infras added under `references/projects/` and `references/infra/`.
---

# open-forge

## Overview

Walk a user from "I have a cloud account and a domain" to "working app at `https://my.domain` with TLS and mail." Load the appropriate project recipe and infra adapter based on the user's stated intent; run phases sequentially; record state so the user can resume later.

## Operating principle

**Claude does the work; the user makes the choices.** open-forge replaces the traditional "read a README, copy-paste 30 lines of bash, debug for hours" experience with a guided chat where Claude executes everything via the user's local CLI tools (aws, ssh, jq, curl) and only stops to ask when input is genuinely required.

What this means in practice:

- **Run, don't print.** When a recipe contains a bash block, *Claude executes it*. Announce it in one sentence first ("Opening port 22 in the Lightsail firewall now."), then run. Don't paste the block into chat for the user to run.
- **Ask for choices and credentials only.** Things only the user can decide or provide: AWS profile name, domain choice, canonical www-vs-apex, SMTP API key, model provider preference. Everything else (which jq command to run, which sed pattern to apply, which IAM script URL to fetch) Claude figures out from the recipe.
- **One question at a time when possible.** Use the `AskUserQuestion` tool for structured choices (multiple-choice, single-select). Reserve free-text questions for things like API keys and domain names. Avoid wall-of-questions forms.
- **Auto-install with confirmation, not silently.** If `jq` or `aws` is missing, propose the install command, get one-line approval, then run it. Never `sudo apt-get install` without asking.
- **The recipe files in `references/projects/` and `references/infra/` are guidance for Claude, not pages for the user to read.** Keep that lens when extending or refactoring.

## What's supported

Check `references/projects/` and `references/infra/` for available recipes/adapters. As of this writing:

Supported **software**:

| Software | What it is |
|---|---|
| Ghost | Self-hosted blogging platform |
| OpenClaw | Self-hosted personal AI agent (openclaw.ai — NOT the Captain Claw platformer game) |
| Hermes-Agent | Self-improving personal AI agent from Nous Research (github.com/NousResearch/hermes-agent). Native (`scripts/install.sh`), Docker, Nix, manual-dev, Termux (Android), Homebrew. Includes `hermes claw migrate` for OpenClaw users. |
| Ollama | Local-LLM inference server (ollama.com). Foundation layer — pairs with OpenClaw / Hermes / Open WebUI / LibreChat / Aider / etc. as an OpenAI-compatible provider. Native (`install.sh` / `install.ps1` / `.dmg` / `.exe`), Docker (CPU + NVIDIA + AMD ROCm + Vulkan), Kubernetes (community Helm chart), Homebrew, Nix, Pacman. |
| Open WebUI | Feature-rich web UI for any OpenAI-compatible LLM backend (github.com/open-webui/open-webui). Multi-user, RAG, web search, image gen, voice, MCP. Pairs naturally with Ollama. Docker (`:main` / `:cuda` / `:ollama` / `:dev` tags), docker-compose (with bundled or external Ollama), pip (Python 3.11), Kubernetes (community Helm). |
| Stable Diffusion WebUI (A1111) | The most-popular open-source AI image generator (github.com/AUTOMATIC1111/stable-diffusion-webui). Pairs with Open WebUI as an image-gen backend. Native (`webui.sh` Linux/macOS, `webui-user.bat` Windows, `sd.webui.zip` one-click), GPU paths for NVIDIA CUDA / AMD ROCm Linux / AMD DirectML Windows fork / Apple Silicon MPS, plus community-maintained Docker images (AbdBarho recommended). |
| ComfyUI | Node-based AI image / video generation (github.com/comfyanonymous/ComfyUI). Power-user alternative to A1111; same models, workflow-graph UX. Pairs with Open WebUI as image-gen backend. Desktop App (Windows/macOS), Windows portable 7z (NVIDIA / AMD / Intel variants), `comfy-cli`, manual install, plus broad GPU support (NVIDIA CUDA, AMD ROCm Linux + Windows nightly, Intel Arc XPU, Apple Silicon MPS) and community Docker (AbdBarho `comfy` profile, yanwk/comfyui-boot). |
| Dify | Open-source LLMOps + AI app builder platform (github.com/langgenius/dify). Visual workflow builder, RAG with many vector-DB backends (Weaviate / Qdrant / Milvus / pgvector / Elasticsearch / OpenSearch / Couchbase / Chroma / +more), multi-tenant, plugin marketplace. Different category from chat UIs — Dify is the platform for *building* AI products. Docker Compose (canonical, ~12 services), Kubernetes via community Helm, source code, aaPanel one-click, plus cloud templates (Azure / GCP Terraform, AWS CDK for EKS/ECS, Alibaba Computing Nest). |
| LibreChat | Multi-provider chat UI with deep enterprise plumbing (github.com/danny-avila/LibreChat). Multi-user with social logins (GitHub / Google / Discord / OIDC / SAML / Apple / Facebook), per-user balance + transactions, agents + assistants + MCP, RAG via pgvector + dedicated rag_api, web search, TTS/STT. Alternative to Open WebUI for teams. Docker Compose dev (`docker-compose.yml`), Docker Compose prod (`deploy-compose.yml` + Nginx), npm / source, **first-party Helm chart** (`helm/librechat/` v2.0.2), plus one-click deploys for Railway / Zeabur / Sealos. |
| AnythingLLM | Open-source RAG-focused workspace + AI agent platform (github.com/Mintplex-Labs/anything-llm). Workspace-style "drop a folder of PDFs, ask questions over them" UX with built-in LanceDB vector store (or external Pinecone / Weaviate / Qdrant / Chroma / Milvus / Astra / pgvector), built-in agents, MCP support, multi-user, embeddable chat widget. Docker (canonical, `docker/HOW_TO_USE_DOCKER.md`), Desktop App (Mac / Windows / Linux installers), bare-metal source install (per `BARE_METAL.md`, "not supported by core team" — flagged), plus upstream-published one-click cloud deploys for AWS CloudFormation / GCP Cloud Run / DigitalOcean Terraform / Render / Railway / RepoCloud / Elestio / Northflank. |
| Aider | AI pair-programming CLI (github.com/Aider-AI/aider). Different category — runs in the developer's terminal alongside their git repo, edits files via diffs, auto-commits per change. Pairs with any LLM provider (Anthropic / OpenAI / DeepSeek / Gemini / OpenRouter / Ollama / vLLM / OpenAI-compatible). `aider-install` (recommended, isolated Python 3.12 env), uv-based one-liner script (Mac / Linux / Windows), uv direct, pipx, plain pip, plus Docker (`paulgauthier/aider` + `paulgauthier/aider-full`), GitHub Codespaces, and Replit. |
| vLLM | Production-grade LLM inference server (github.com/vllm-project/vllm). Different niche from Ollama (single-user / hobby) — vLLM is for high-throughput multi-tenant serving with PagedAttention, tensor parallelism, prefix caching. NVIDIA CUDA (canonical) + AMD ROCm + Intel XPU/Gaudi + CPU variants (x86 / ARM / Apple Silicon / s390x), Docker (`vllm/vllm-openai`), Kubernetes (raw manifests + first-party Helm chart + LeaderWorkerSet for distributed inference), plus upstream PaaS cookbooks (SkyPilot / RunPod / Modal / Cerebrium / dstack / Anyscale / Triton). |
| Langfuse | Open-source LLM engineering platform (github.com/langfuse/langfuse). LLM observability + evaluation + prompt management + datasets + scoring; cross-cutting layer that pairs with vLLM / Ollama (inference) and Open WebUI / LibreChat / AnythingLLM / Dify / Aider (apps). v3 architecture is six services (web, worker, Postgres, ClickHouse, Redis, MinIO/S3). Docker Compose (local + single-VM), Kubernetes Helm chart (`langfuse/langfuse-k8s`, recommended for prod), first-party Terraform modules for AWS (EKS + Aurora + ElastiCache + S3 + ALB), GCP (GKE + Cloud SQL + Memorystore + GCS + LB), Azure (AKS + PG-Flex + Redis + Storage + App Gateway), plus upstream-published Railway one-click. |

Supported **infras** (under `references/infra/`):

| Cloud / where | Adapter |
|---|---|
| AWS | `aws/lightsail.md` (Ghost Bitnami + OpenClaw blueprints), `aws/ec2.md` (general-purpose VM) |
| Azure | `azure/vm.md` (Bastion-hardened, no public IP) |
| Hetzner Cloud | `hetzner/cloud-cx.md` (CX-line VPS via `hcloud`) |
| DigitalOcean | `digitalocean/droplet.md` (Droplet via `doctl`) |
| GCP Compute Engine | `gcp/compute-engine.md` (VM via `gcloud`) |
| Oracle Cloud | `oracle/free-tier-arm.md` (Always-Free A1.Flex ARM + Tailscale) |
| Hostinger | `hostinger.md` (managed via hPanel — no CLI) |
| Raspberry Pi | `raspberry-pi.md` (Pi 4/5 64-bit, ARM64) |
| macOS VM (Apple Silicon) | `macos-vm.md` (Lume; for iMessage via BlueBubbles) |
| Any Linux VM (other providers, on-prem) | `byo-vps.md` (SSH-only, no cloud APIs) |
| Your own machine | `localhost.md` (Claude runs commands directly) |
| Fly.io | `paas/fly.md` (`fly.toml` + persistent volume; public or private mode) |
| Render | `paas/render.md` (`render.yaml` Blueprint, one-click) |
| Railway | `paas/railway.md` (one-click template) |
| Northflank | `paas/northflank.md` (one-click stack) |
| exe.dev | `paas/exe-dev.md` (Shelley agent or manual nginx) |

Supported **runtimes** (under `references/runtimes/`):

| Runtime | Notes |
|---|---|
| Docker | `docker.md` — install Docker on host + lifecycle via docker-compose. Reusable across every infra. |
| Podman | `podman.md` — rootless Docker-compatible alternative; Quadlet (systemd-user) supported. Reusable across every Linux/macOS infra. |
| Native | `native.md` — OS prereqs, systemd / launchd / Scheduled-Tasks lifecycle, reverse-proxy guidance. Covers `install.sh` (macOS / Linux / WSL2), `install-cli.sh` (local-prefix, no root), and `install.ps1` (native Windows). |
| Kubernetes | `kubernetes.md` — kubectl + Kustomize (preferred, what openclaw upstream uses) and Helm orchestration. open-forge does not provision clusters — point `kubectl` at one and we'll deploy into it. |
| Vendor blueprints | Bundled into infra adapters (e.g. Lightsail Ghost-Bitnami, Lightsail OpenClaw) — runtime choice is the vendor's |

## Selection — ask three questions

Before provisioning, establish three things by asking (or inferring from the user's prompt):

1. **What** to host? → loads `references/projects/<software>.md`
2. **Where** to host? → loads `references/infra/<cloud>/<service>.md` or `references/infra/{byo-vps,localhost}.md`
3. **How** to host? → loads the matching `references/runtimes/<runtime>.md` (skipped if the infra bundles the runtime, e.g. vendor blueprints)

The **how** question is *dynamically generated* from (software, where) — each project lists its "Compatible combos" table in the project recipe, and the options shown are filtered by the user's where answer. If the user's initial prompt already names a clear infra ("deploy to Lightsail" → AWS), announce the inferred choice and continue — don't re-ask. Use `AskUserQuestion` only when genuinely ambiguous.

Then **immediately load `references/modules/preflight.md`** and run its steps. Preflight is combo-aware — it only installs / validates what the chosen tuple actually needs (AWS CLI only when infra ∈ AWS, Docker only when runtime = docker, nothing extra on localhost).

## Phased workflow

Each phase is verifiable and resumable. Do NOT batch phases — complete, verify, and update state before moving on.

```
1. preflight     → check prerequisites (CLI tools, profiles, domain ownership); collect inputs
2. provision     → create instance, allocate + attach static IP, retrieve SSH key
3. dns           → print exact DNS records for user to add at registrar; poll until resolved
4. tls           → obtain Let's Encrypt cert, fix reverse proxy, switch app URL to https
5. smtp          → configure outbound email provider; verify a test send
6. inbound       → (optional) set up forwarding or mailbox
7. hardening     → rotate default admin creds, rotate any secrets pasted into chat
```

Infra adapter defines *how* to do each phase (what CLI commands to run). Project recipe defines *what's specific* about that app (config file paths, gotchas, mail block shape). Cross-cutting steps — DNS guidance, Let's Encrypt, SMTP providers, inbound forwarders — live in `references/modules/` and are loaded as needed.

## State file

Every deployment has a YAML state file at:

```
~/.open-forge/deployments/<name>.yaml
```

Shape:

```yaml
name: my-blog
project: ghost
infra: lightsail
inputs:
  aws_profile: qi-experiment
  aws_region: us-east-1
  domain: ariazhang.org
  canonical: www  # or "apex"
  letsencrypt_email: user@example.com
outputs:
  instance_name: my-blog
  static_ip_name: my-blog-ip
  public_ip: 54.156.69.42
  ssh_key_path: ~/.ssh/lightsail-default.pem
  admin_url: https://www.ariazhang.org/ghost
phases:
  preflight:   { status: done,  at: "2026-04-22T19:00Z" }
  provision:   { status: done,  at: "2026-04-22T19:10Z" }
  dns:         { status: done,  at: "2026-04-22T19:25Z" }
  tls:         { status: done,  at: "2026-04-22T19:30Z" }
  smtp:        { status: done,  at: "2026-04-22T20:05Z" }
  inbound:     { status: skipped }
  hardening:   { status: pending }
```

At the start of each session: if a state file exists for the named deployment, read it and resume from the first non-done phase. If the user says "start over", confirm destructively before unlinking.

## Execution mode

Default: **autonomous** — run AWS CLI, SSH, and file edits directly. Announce each external command in one sentence before running. Never fabricate outputs.

Flag: **`--dry-run`** — print what would be done, do not execute. Useful for review.

Commands that cross trust boundaries (paste secrets into config files, send real emails, spend money) should be announced and, when ambiguous, confirmed.

## Inputs

Inputs split across three layers:

- **Cross-cutting (all deployments)** — handled by `references/modules/preflight.md`: AWS profile, region, deployment name, tool install confirmations.
- **Infra-specific** — handled by the loaded infra adapter (e.g. `references/infra/lightsail.md`): bundle/blueprint choice, SSH key path defaults.
- **Project-specific** — handled by the loaded project recipe (e.g. `references/projects/ghost.md`): domain, canonical preference, Let's Encrypt email, SMTP provider + API key, model provider, etc.

Each recipe and adapter has its own **"Inputs to collect"** section listing exactly what it needs and at which phase. Collect just-in-time per phase, not all upfront. Use `AskUserQuestion` for structured choices.

## Verification after each phase

| Phase | Verify with |
|---|---|
| provision | `aws lightsail get-instance ... --query 'instance.state'` is `running`; SSH to `<user>@<ip>` succeeds |
| dns | `dig +short <domain> @1.1.1.1` returns the static IP for apex AND the canonical host |
| tls | `curl -sI https://<domain>/` returns 2xx/3xx with a valid cert; browser loads without warnings |
| smtp | Send a test email from the app's admin UI; confirm arrival in the recipient inbox and in the provider's log |
| inbound | Send a test email to the configured alias; confirm it lands in the destination inbox |

Never mark a phase `done` without verification.

## Common pitfalls across infras/projects

- **Stale DNS**: browsers cache 301 responses with long max-age. After any HTTP↔HTTPS or apex↔www redirect change, suggest hard reload or incognito.
- **Host key mismatch on new static IP**: the first SSH to a freshly-allocated IP needs `-o StrictHostKeyChecking=accept-new`; don't blindly blow away `~/.ssh/known_hosts` entries.
- **Non-interactive cert tools**: some have quirky option-file or flag requirements. See the project recipe — do not assume `--unattended` works.
- **Reverse-proxy misconfig after switching to https URL**: apps that enforce HTTPS redirects from the `url` config need `X-Forwarded-Proto` and `Host` preserved. See `references/modules/tls-letsencrypt.md`.

## Adding a new project or infra

A new project: add `references/projects/<name>.md` covering required services, config file paths, mail config shape, and any install/upgrade quirks. Follow the structure of the existing ghost.md.

A new infra: add `references/infra/<name>.md` covering provisioning (create instance, static IP, SSH key), firewall defaults, user/paths conventions. Follow lightsail.md.

Cross-cutting modules (new SMTP provider, new forwarder): add under `references/modules/`. Keep them project- and infra-agnostic.

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