# localgenai Local LLM stack on a Framework Desktop (AMD Ryzen AI Max+ 395 / "Strix Halo", Radeon 8060S, 128 GB unified LPDDR5x), driven from a Mac over Tailscale. Coding agents, monitoring, voice — all self-hosted. ## Topology ``` ┌─────────────────┐ Tailscale ┌──────────────────────────────┐ │ Mac │ ───────────────▶ │ Framework Desktop │ │ │ │ (Ubuntu 26.04, gfx1151 iGPU)│ │ • OpenCode │ │ • Inference: Ollama, │ │ + Phoenix │ │ llama.cpp, vLLM │ │ bridge │ │ • Agent UIs: OpenWebUI, │ │ • install.sh │ │ OpenHands │ │ │ │ • Monitoring: Beszel, │ │ │ │ OpenLIT, Phoenix │ └─────────────────┘ └──────────────────────────────┘ ``` ## Repo layout | Path | What's there | |---|---| | [`pyinfra/`](pyinfra/) | pyinfra deploy targeting the Framework Desktop. Host setup (kernel params, Docker, AMD driver bits) plus all docker-compose files for the services below. See [`pyinfra/framework/README.md`](pyinfra/framework/README.md). | | [`opencode/`](opencode/) | OpenCode config + Phoenix bridge plugin. `install.sh` deploys it to `~/.config/opencode/` on a Mac. Wires up Playwright / SearXNG MCP and ships every prompt's spans to Phoenix. | | [`StrixHaloSetup.md`](StrixHaloSetup.md) | Original phased bring-up plan for the box. | | [`StrixHaloMemory.md`](StrixHaloMemory.md) | UMA / GTT / bandwidth notes — "what fits, what's slow, why." | | [`Roadmap.md`](Roadmap.md) | What to build on top of the stack to narrow the gap with hosted Claude Code / Cowork / Skills / Design. | | [`TODO.md`](TODO.md) | Open questions and follow-ups. | | [`testing/qwen3-coder-30b/`](testing/qwen3-coder-30b/) | Small evaluation harness for Qwen3-Coder. | | [`VoiceModels.md`](VoiceModels.md) | STT / TTS landscape and upgrade paths from the Wyoming defaults. | ## Service ports (on `framework`) | Port | Service | Notes | |---|---|---| | `7575` | **Homepage** | **Front door — start here.** Tile per service with live widgets. | | `8080` | llama.cpp | Vulkan backend, `--metrics` for Prometheus | | `8000` | vLLM | ROCm; gfx1151 support varies | | `11434` | Ollama | ROCm with `HSA_OVERRIDE_GFX_VERSION=11.0.0` | | `3000` | OpenWebUI | ChatGPT-style UI in front of Ollama | | `3001` | OpenLIT | LLM fleet metrics dashboard | | `3030` | OpenHands | Autonomous agent + sandbox runtime — Tailscale-only by design | | `4317` | Phoenix OTLP/gRPC | Trace ingestion | | `6006` | Phoenix UI / OTLP/HTTP | Per-trace agent waterfall (also `:6006/v1/traces`) | | `8001` | faster-whisper | STT (OpenAI API) — large-v3-turbo, for OpenWebUI/Conduit | | `8090` | Beszel | Host + container + AMD GPU dashboard | | `8880` | Kokoro | TTS (OpenAI API) — Kokoro-82M, for OpenWebUI/Conduit | | `10200` | Piper | TTS (Wyoming protocol) — for Home Assistant Assist | | `10300` | Whisper | STT (Wyoming protocol) — for Home Assistant Assist | ## Quick start On the box (after the pyinfra deploy): ```sh cd /srv/docker/ollama && docker compose up -d cd /srv/docker/phoenix && docker compose up -d cd /srv/docker/beszel && docker compose up -d # then add system per beszel.yml ``` On the Mac: ```sh cd opencode && ./install.sh opencode ``` Send a prompt; watch it land in Phoenix at . ## Why this stack - **Bandwidth, not VRAM, is the ceiling on Strix Halo.** 256 GB/s memory bandwidth means MoE models with small active-params (Qwen3-Coder-30B-A3B, Kimi-Linear-48B-A3B) dominate. See `StrixHaloMemory.md`. - **AMD APU monitoring is broken upstream.** `amd-smi` returns N/A on gfx1151, which kills the official Prometheus/Grafana exporters. Beszel reads sysfs directly and works. See the monitoring section of `pyinfra/framework/README.md`. - **Two-layer observability.** OpenLIT is fleet metrics across sessions; Phoenix is per-trace waterfall for "what did this one prompt do." - **Reproducible.** Every host-side config lives in `pyinfra/`; every Mac-side config in `opencode/install.sh`. Re-running either is safe.