{"slug": "turn-anything-into-an-ai-server", "title": "Turn Anything into an AI Server", "summary": "Light-Heart Labs released Dream Server v2.5.2, an open-source tool that turns any PC, Mac, or Linux machine into a private AI server with local model inference, a ChatGPT-style web UI, and automation workflows. The software bundles Ollama, Open WebUI, n8n, and ComfyUI into a single installable stack that keeps data on-device with optional cloud API modes.", "body_md": "**Turn your PC, Mac, or Linux box into a private AI server.**\n\nAI server and homelab setup is rapidly becoming a solved problem. It should feel that way for everyone.\n\nDream Server installs and wires together everything you need to run AI locally, so you do not have to assemble Ollama, Open WebUI, n8n, ComfyUI, and privacy tools by hand:\n\n**Local model inference**— run open models on your own hardware** ChatGPT-style web UI**— talk to your models from any browser** Control dashboard**— manage models, services, setup, GPU status, and extensions from one place** Voice, agents, and workflows**— build automations that can listen, speak, call tools, and get work done** RAG and search**— connect local documents, private search, and retrieval workflows** Image generation**— run local image tools without sending prompts to a hosted API** Privacy and ops**— keep service auth, secrets, observability, and diagnostics in one local stack\n\nNo cloud required. No subscriptions required. Your prompts and data stay on your machine unless you choose otherwise. Cloud and hybrid API modes are optional when you want them.\n\n**Release validation:** Operational changes are checked with a release-grade\nfleet and distro lab: zero-prereq bootstrap, fresh installs, product flows,\nfull-model capabilities, lifecycle recovery, and the final User Green gate. See\n[Release Validation](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/RELEASE_VALIDATION.md) for what a green\nrun proves.\n\n**Repo layout:** the repository root holds the public README, installers,\nsecurity policy, GitHub workflows, and project coordination docs. The\n`dream-server/`\n\ndirectory is the product runtime: services, installer phases,\ncompose overlays, dashboard, CLI, tests, and operator docs.\n\n**Stable consumption:** `v2.5.2`\n\nis the current stable release. `main`\n\nmoves\nquickly; use it for active development and validation candidates. For forks,\nappliances, labs, or production-like installs, pin a tagged release or audited\ncommit and keep your own validation receipt. Stable patch fixes land on\n`release/2.5.x`\n\nbefore being merged forward. See\n[Release Channels](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/RELEASE_CHANNELS.md),\n[Installer Trust](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/INSTALLER_TRUST.md), and\n[Forkability](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/FORKABILITY.md).\n\nLinux and macOS:\n\n```\ncurl -fsSL https://raw.githubusercontent.com/Light-Heart-Labs/DreamServer/main/dream-server/get-dream-server.sh | bash\n```\n\nPrefer to inspect before running or pin a release tag? See\n[Installer Trust](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/INSTALLER_TRUST.md).\n\nWindows users should use the PowerShell installer shown below or follow the [Windows Quickstart](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/WINDOWS-QUICKSTART.md).\n\nAfter install, open ** http://localhost:3000** and start chatting.\n\nAPI endpoint:Linux Docker installs expose llama-server onby default ([http://localhost:11434]`OLLAMA_PORT`\n\n) while containers use`llama-server:8080`\n\n. macOS native Metal and Windows native/Lemonade paths useunless overridden. Open WebUI stays on[http://localhost:8080].[http://localhost:3000]\n\nNo GPU?Dream Server also runs in cloud mode — same full stack, powered by OpenAI/Anthropic/Together APIs instead of local inference:\n\n```\n./install.sh --cloud\n```\n\nPort conflicts?Every port is configurable via environment variables. See[for the full list, or override at install time:]`.env.example`\n\n```\nWEBUI_PORT=9090 ./install.sh\n```\n\n**New here?** Read the [Friendly Guide](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/HOW-DREAM-SERVER-WORKS.md) or [listen to the audio version](https://open.spotify.com/episode/40MvqJ41bC8cEgvUyOyE3K) — a complete walkthrough of what Dream Server is, how it works, and how to make it your own. No technical background needed.\n\n| Question | Answer |\n|---|---|\nWhat is it? |\nA local AI server stack for your own hardware, with a one-command Linux/macOS installer and a PowerShell installer for Windows. |\nWho is it for? |\nPeople who want private AI at home, in a lab, or on a workstation without hand-wiring a dozen services. |\nWhat do I get? |\nLocal inference, Open WebUI chat, a control dashboard, voice, agents, workflows, RAG, search, image generation, privacy tools, observability, and developer tools. |\nWhat does it run on? |\nLinux, Windows with WSL2/Docker Desktop, and macOS Apple Silicon. |\nIs cloud required? |\nNo. Local mode is the default; cloud and hybrid API modes are optional. |\n\n| If you know... | Dream Server adds... |\n|---|---|\nOllama / llama.cpp |\nThe surrounding server stack: chat, dashboard, voice, RAG, workflows, agents, privacy, and service management. |\nOpen WebUI |\nA full installer and control plane around Open WebUI, plus pre-wired local services. |\nAnythingLLM |\nBroader local AI appliance behavior beyond RAG: inference, chat, voice, workflows, image generation, and ops. |\nn8n self-hosted AI starter kits |\nWorkflow automation as one part of a larger private AI server. |\n\nCurrent Platform Support\n\nPlatform Status Linux(NVIDIA + AMD + Intel Arc)Supported— install and run todayWindows(NVIDIA + AMD)Supported— install and run todaymacOS(Apple Silicon)Supported— install and run today\n\nTested Linux distros:Ubuntu 24.04/22.04, Debian 12, Linux Mint 21.3, Fedora 41+, Rocky Linux 9, Arch Linux, Manjaro, CachyOS, and openSUSE Tumbleweed. Other distros using apt, dnf, pacman, or zypper should also work —[open an issue]if yours doesn't.\n\nRelease validation:Operational changes run through a release-grade gate that covers zero-prereq bootstrap, clean installs, product behavior, full-model capabilities, lifecycle recovery, and User Green. See[Release Validation]and the[Validation Matrix].\n\nWindows:Requires Docker Desktop with WSL2 backend. NVIDIA GPUs use Docker GPU passthrough; AMD Strix Halo runs through the platform-specific accelerated path documented in the Windows installer and support matrix.\n\nmacOS:Requires Apple Silicon (M1+) and Docker Desktop. llama-server runs natively with Metal GPU acceleration; all other services run in Docker.See the\n\n[Support Matrix]for supported platform claims and the[Validation Matrix]for the layered test surface used to test those claims.\n\nA handful of companies control the vast majority of global AI traffic — and with it, your data, your costs, and your uptime. Every query you send to a centralized provider is business intelligence you don’t own, running on infrastructure you don’t control, priced on terms you can’t negotiate.\n\nIf AI is becoming critical infrastructure, it shouldn’t be rented. Self-hosting local AI should be a sovereign human right, not a career choice.\n\nBecause running your own AI shouldn't require a CS degree and a weekend of debugging CUDA drivers. Right now, setting up local AI means stitching together a dozen projects, writing Docker configs from scratch, and praying everything talks to each other. Most people give up and go back to paying OpenAI.\n\nWe built Dream Server so you don't have to.\n\n**One command**— detects your GPU, picks the right model, generates credentials, launches everything** Chatting in under 2 minutes**— bootstrap mode gives you a working model instantly while your full model downloads in the background** Full service stack, pre-wired**— chat, agents, voice, workflows, search, RAG, image generation, privacy tools, observability, and developer tools. All talking to each other out of the box**Fully moddable**— every service is an extension. Drop in a folder, run`dream enable`\n\n, done\n\n**Manual install (Linux)**\n\n```\ngit clone https://github.com/Light-Heart-Labs/DreamServer.git\ncd DreamServer/dream-server\n./install.sh\n```\n\n**Windows (PowerShell)**\n\nRequires [Docker Desktop](https://www.docker.com/products/docker-desktop/) with WSL2 backend enabled.\n**Install Docker Desktop first and make sure it is running before you start.**\n\nOpen a normal **PowerShell** session and run:\n\n```\nSet-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass\ngit clone https://github.com/Light-Heart-Labs/DreamServer.git\ncd DreamServer\n.\\install.ps1\n```\n\nThe\n\n`Set-ExecutionPolicy`\n\ncommand allows the installer script to run in the current session. It does not change your system-wide policy. Running as Administrator is not recommended for the installer because user-level paths such as`.opencode`\n\n,`data/`\n\n, and`.env`\n\ncan be created with admin-owned permissions.\n\nThe installer detects your GPU, picks the right model, generates credentials, starts all services, and creates a Desktop shortcut to the Dashboard. Manage with `.\\dream-server\\installers\\windows\\dream.ps1 status`\n\n.\n\n**macOS (Apple Silicon)**\n\nRequires Apple Silicon (M1+) and [Docker Desktop](https://www.docker.com/products/docker-desktop/).\n**Install Docker Desktop first and make sure it is running before you start.**\n\n```\ngit clone https://github.com/Light-Heart-Labs/DreamServer.git\ncd DreamServer/dream-server\n./install.sh\n```\n\nThe installer detects your chip, picks the right model for your unified memory, launches llama-server natively with Metal acceleration, and starts all other services in Docker. Manage with `./dream-macos.sh status`\n\n.\n\nSee the [macOS Quickstart](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/MACOS-QUICKSTART.md) for details.\n\n**Open WebUI**— full-featured chat interface with conversation history, web search, document upload, and[30+ languages](https://docs.openwebui.com)**llama-server**— high-performance LLM inference with continuous batching, auto-selected for your GPU; Linux Docker host API defaults to`localhost:11434`\n\n, native macOS/Windows paths use`localhost:8080`\n\n, and container API runs on`8080`\n\n**LiteLLM**— API gateway supporting local/cloud/hybrid modes** TEI Embeddings**— text embedding service for RAG and search workflows\n\n**Whisper**— speech-to-text** Kokoro**— text-to-speech\n\n**Hermes Agent**— default local-first autonomous/browser agent with memory, skills, and a magic-link-gated proxy** OpenClaw**— deprecated legacy autonomous agent, still opt-in during the migration window** n8n**— workflow automation with 400+ integrations (Slack, email, databases, APIs)** APE**— Agent Policy Engine for auditing and governing autonomous tool calls** OpenCode**— browser-based AI coding assistant wired to the local stack** Memory Shepherd**— host/systemd helper for agent memory lifecycle management\n\n**Qdrant**— vector database for retrieval-augmented generation (RAG)** SearXNG**— self-hosted web search (no tracking)** Perplexica**— deep research engine** Brave Search**— optional paid Brave Search API integration\n\n**ComfyUI**— node-based image generation\n\n**Privacy Shield**— PII scrubbing proxy for API calls** Dashboard**— real-time GPU metrics, service health, model management** Dashboard API**— service health, setup, status, metrics, and management API behind the dashboard** Token Spy**— token usage monitor for local and proxied LLM traffic** Langfuse**— optional LLM observability and tracing\n\nThe installer detects your GPU and first assigns a deterministic hardware tier. Linux and macOS then run the versioned catalog selector (`dream-server/scripts/select-model.py`\n\n), while Windows uses the PowerShell catalog selector in `dream-server/installers/windows/lib/tier-map.ps1`\n\n; both read `dream-server/config/model-library.json`\n\nto choose the best installable GGUF for the detected memory envelope. The final choice is written to `.env`\n\nas `LLM_MODEL`\n\n, `GGUF_FILE`\n\n, `MAX_CONTEXT`\n\n, and `MODEL_RECOMMENDATION_*`\n\n.\n\n`MODEL_PROFILE=qwen`\n\nis the default non-Gemma catalog profile, so the effective pick can be Qwen, Phi, or DeepSeek depending on what fits best. `MODEL_PROFILE=gemma4`\n\nforces Gemma 4 where available, and `MODEL_PROFILE=auto`\n\nuses Gemma 4 on NVIDIA, Apple Silicon, and Intel Arc tiers. Override tier selection with `./install.sh --tier 3`\n\n; override the model family with `MODEL_PROFILE=gemma4 ./install.sh`\n\nor `MODEL_PROFILE=auto ./install.sh`\n\n.\n\nWhen Hermes is enabled, which is the default agent path, installers keep the first-run bootstrap model at a 64K context floor and promote the full local model context to 128K where the selected model supports it. That avoids Hermes's hard 64K minimum while preserving the under-2-minute first chat experience. The examples below are current catalog-selector outputs for common hardware envelopes; exact installs can differ with detected VRAM/RAM, host architecture, existing downloads, or explicit profile overrides. Throughput still needs a local benchmark after first launch.\n\n| Tier / envelope | Current default catalog pick | Context | Example hardware |\n|---|---|---|---|\n| 0 / 8 GB CPU fallback | Qwen3.5 2B (Q4_K_M) | 8K | Low-RAM CPU-only |\n| 1 / 8 GB discrete VRAM | Qwen3.5 9B (Q4_K_M) | 32K | RTX 4060, RTX 3060 12GB |\n| 2 / 12 GB discrete VRAM | Phi-4 14B (Q4_K_M) | 16K | RTX 4070-class cards |\n| 3 / 24 GB discrete VRAM | Qwen3.5 27B (Q4_K_M) | 32K | RTX 4090, A6000 |\n| 4 / 48 GB discrete VRAM | DeepSeek R1 Distill Llama 70B (Q4_K_M) | 32K | A6000 Ada, L40S |\n| NV_ULTRA / 90+ GB amd64 discrete VRAM | Qwen3 Coder Next (Q4_K_M) | 128K | Multi-GPU A100/H100 |\n| NV_ULTRA / 90+ GB arm64 unified memory | Qwen3.6 35B-A3B (UD-Q4_K_M) | 128K | DGX Spark / GB10-class hosts |\n\n| Tier / envelope | Current default catalog pick | Context | Hardware |\n|---|---|---|---|\n| SH_COMPACT / 64 GB unified RAM | Qwen3.6 35B-A3B (UD-Q4_K_M) | 128K | Ryzen AI MAX+ 395 (64GB) |\n| SH_LARGE / 96 GB unified RAM | DeepSeek R1 Distill Llama 70B (Q4_K_M) | 32K | Ryzen AI MAX+ 395 (96GB) |\n| SH_LARGE / 124 GB unified RAM | Qwen3.6 35B-A3B (UD-Q4_K_M) | 128K | Ryzen AI MAX+ 395 (128GB class) |\n\nThe selector routes unified-memory hosts away from Qwen3 Coder Next when that model would otherwise be selected, because current repo policy documents correctness issues on those backends.\n\n| Tier / envelope | Current default catalog pick | Context | Example hardware |\n|---|---|---|---|\n| 0 / 8 GB unified RAM | Phi-4 Mini (Q4_K_M) | 128K | M1/M2 base (8GB) |\n| 1 / 16 GB unified RAM | Qwen3.5 9B (Q4_K_M) | 32K | M4 Mac Mini (16GB) |\n| 2 / 32 GB unified RAM | Phi-4 14B (Q4_K_M) | 16K | M4 Pro Mac Mini, M3 Max MacBook Pro |\n| 3 / 48 GB unified RAM | Qwen3.5 27B (Q4_K_M) | 32K | M4 Pro (48GB), M2 Max (48GB) |\n| 4 / 64+ GB unified RAM | Qwen3.6 35B-A3B (UD-Q4_K_M) | 128K | M2 Ultra Mac Studio, M4 Max (64GB+) |\n\n| Tier / envelope | Current default catalog pick | Context | Example hardware |\n|---|---|---|---|\n| ARC_LITE / 6 GB discrete VRAM | Phi-4 Mini (Q4_K_M) | 128K | Arc A380 |\n| ARC_LITE / 8 GB discrete VRAM | Qwen3.5 9B (Q4_K_M) | 32K | Arc A750 |\n| ARC / 16 GB discrete VRAM | Phi-4 14B (Q4_K_M) | 16K | Arc A770 16GB, newer Arc GPUs |\n\nGemma 4 profile tiers remain in the installer tier maps: E2B on entry hardware, E4B on midrange hardware, 26B-A4B on pro hardware, and 31B on large/ultra hardware.\n\nNo waiting for large downloads. Dream Server uses bootstrap mode by default:\n\n- Downloads a tiny 1.5B model in under a minute\n- You start chatting immediately\n- The full model downloads in the background\n- Hot-swap to the full model when it's ready — zero downtime\n\n*The installer pulls all services in parallel. Downloads are resume-capable — interrupted downloads pick up where they left off.*\n\nThe bootstrap model starts with a 64K context window so Hermes can work during the first session. After the background download finishes, Dream Server swaps to the full model and restores the Hermes/full-model context target.\n\nSkip bootstrap: `./install.sh --no-bootstrap`\n\nThe installer picks a model for your hardware, but you can switch anytime:\n\n```\ndream model current              # What's running now?\ndream model list                 # Show all available tiers\ndream model swap T3              # Switch to a different tier\n```\n\nIf the new model isn't downloaded yet, pre-fetch it first:\n\n```\n./scripts/pre-download.sh --tier 3    # Download before switching\ndream model swap T3                    # Then swap (restarts llama-server)\n```\n\nAlready have a GGUF you want to use? Drop it in `data/models/`\n\n, update `GGUF_FILE`\n\nand `LLM_MODEL`\n\nin `.env`\n\n, and restart with the CLI:\n\n```\ndream restart llm\n```\n\nOr restart the container directly from the installed `dream-server`\n\ndirectory:\n\n```\ndocker compose restart llama-server\n```\n\nRollback is automatic — if a new model fails to load, Dream Server reverts to your previous model.\n\nDream Server is designed to be modded. Every service is an extension — a folder with a `manifest.yaml`\n\nand a `compose.yaml`\n\n. The dashboard, CLI, health checks, and compose stack all discover extensions automatically.\n\n```\nextensions/services/\n  my-service/\n    manifest.yaml      # Metadata: name, port, health endpoint, GPU backends\n    compose.yaml       # Docker Compose fragment (auto-merged into the stack)\ndream enable my-service     # Enable it\ndream disable my-service    # Disable it\ndream list                  # See everything\n```\n\nThe installer itself is modular — 19 library modules, a shared service registry, and 13 ordered phases. Want to add a hardware tier, swap a default model, or skip a phase? Start with the installer architecture map so you update the Linux, macOS, Windows, upgrade, and host-agent writers together.\n\n[Full extension guide](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/EXTENSIONS.md) | [Installer architecture](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/INSTALLER-ARCHITECTURE.md)\n\nThe `dream`\n\nCLI manages your entire stack:\n\n```\ndream status                # Health checks + GPU status\ndream list                  # All services and their state\ndream logs llm              # Tail logs (aliases: llm, stt, tts)\ndream restart [service]     # Restart one or all services\ndream start / stop          # Start or stop the stack\n\ndream mode cloud            # Switch to cloud APIs via LiteLLM\ndream mode local            # Switch back to local inference\ndream mode hybrid           # Local primary, cloud fallback\n\ndream model swap T3         # Switch to a different hardware tier\ndream enable n8n            # Enable an extension\ndream disable whisper       # Disable one\n\ndream config show           # View .env (secrets masked)\ndream preset save gaming    # Snapshot current config\ndream preset load gaming    # Restore it\n```\n\nOther tools get you part of the way. Dream Server gets you the whole way.\n\n| Dream Server | Ollama + Open WebUI | LocalAI | |\n|---|---|---|---|\nScope |\nFull AI stack — inference to agents to workflows | LLM + chat | LLM only |\n| One-command install | Everything, auto-configured | LLM + chat only | LLM only |\n| Hardware auto-detect + model selection | NVIDIA + AMD Strix Halo + Apple Silicon + Intel Arc + CPU/cloud fallback | No | No |\n| AMD APU unified memory support | Platform-specific accelerated backend, selected by installer | Partial (Vulkan) | No |\n| Autonomous AI agents | Hermes Agent default; OpenClaw legacy opt-in | No | No |\n| Workflow automation | n8n (400+ integrations) | No | No |\n| Voice (STT + TTS) | Whisper + Kokoro | No | No |\n| Image generation | ComfyUI | No | No |\n| RAG pipeline | Qdrant + embeddings | No | No |\n| Extension system | Manifest-based, hot-pluggable | No | No |\n| Multi-GPU | Yes (NVIDIA) | Partial | Partial |\n\n|\n\n[Docs Index](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/README.md)[Build On Dream Server](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/BUILD-ON-DREAM-SERVER.md)[Forkability](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/FORKABILITY.md)[Maintainer Runbook](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/MAINTAINER_RUNBOOK.md)[High-Risk Change Map](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/HIGH_RISK_CHANGE_MAP.md)[Headless Setup](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/HEADLESS-SETUP.md)[Support Matrix](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/SUPPORT-MATRIX.md)[Release Validation](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/RELEASE_VALIDATION.md)[Validation Matrix](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/VALIDATION-MATRIX.md)[Validation Reproducibility](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/VALIDATION_REPRODUCIBILITY.md)[Offline And Mirroring](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/OFFLINE_AND_MIRRORING.md)[Installer Trust](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/INSTALLER_TRUST.md)[Model Management](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/MODEL-MANAGEMENT.md)[Hardware Guide](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/HARDWARE-GUIDE.md)[FAQ](/Light-Heart-Labs/DreamServer/blob/main/dream-server/FAQ.md)[Extensions](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/EXTENSIONS.md)[Installer Architecture](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/INSTALLER-ARCHITECTURE.md)[Installer Phase Contracts](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/INSTALLER_PHASE_CONTRACTS.md)[Compose Resolver Contracts](/Light-Heart-Labs/DreamServer/blob/main/dream-server/docs/COMPOSE_RESOLVER_CONTRACTS.md)[Changelog](/Light-Heart-Labs/DreamServer/blob/main/dream-server/CHANGELOG.md)[Contributing](/Light-Heart-Labs/DreamServer/blob/main/CONTRIBUTING.md)Dream Server is built by a growing group of contributors across installers, GPU support, dashboard, security, extensions, docs, and release validation. The README keeps the product overview focused; the long-form credits, upstream acknowledgements, and contributor history live in [CONTRIBUTORS.md](/Light-Heart-Labs/DreamServer/blob/main/CONTRIBUTORS.md).\n\nDream Server has been recognized by the local AI and developer community, including AMD Featured Developer recognition, selection as a May 2026 AMD Lemonade Developer Challenge winner, and a feature at [(Co)nnect: Philly's AI Ecosystem Summit](https://luma.com/xdwih64h) at Pennovation Works.\n\nApache 2.0 — Use it, modify it, ship it. See [LICENSE](/Light-Heart-Labs/DreamServer/blob/main/LICENSE).\n\n*Built by Light Heart Labs and the growing resistance that refuses to rent what should be owned.*", "url": "https://wpnews.pro/news/turn-anything-into-an-ai-server", "canonical_source": "https://github.com/Light-Heart-Labs/DreamServer", "published_at": "2026-06-14 16:09:07+00:00", "updated_at": "2026-06-14 16:12:30.757437+00:00", "lang": "en", "topics": ["ai-tools", "ai-infrastructure"], "entities": ["Light-Heart Labs", "Dream Server", "Ollama", "Open WebUI", "n8n", "ComfyUI", "OpenAI", "Anthropic"], "alternates": {"html": "https://wpnews.pro/news/turn-anything-into-an-ai-server", "markdown": "https://wpnews.pro/news/turn-anything-into-an-ai-server.md", "text": "https://wpnews.pro/news/turn-anything-into-an-ai-server.txt", "jsonld": "https://wpnews.pro/news/turn-anything-into-an-ai-server.jsonld"}}