fix: keep root user in Dockerfile (match upstream image)

- Extend upstream hermes-agent image
- Add libportaudio2 for audio capture
- Install sounddevice, numpy, faster-whisper via uv
- Add health check for voice dependencies
- Include Dockerfile.full for future complete rebuild from source

assets/ai-optimizer/CRON_EXECUTION_PROMPT.md

@@ -0,0 +1,203 @@
+# AI Model Optimization Cron Job - EXECUTION PROMPT
+
+**When this cron runs, follow these instructions exactly:**
+
+---
+
+## Your Role
+
+You are an AI model optimization agent. Your task is to find the best ollama/llama.cpp configuration for maximum context size and hardware utilization.
+
+**Hardware:**
+- 2× AMD MI50 GPUs (32GB VRAM each, 64GB total)
+- 128GB system RAM
+- ROCm: HSA_OVERRIDE_GFX_VERSION=9.0.6, HIP_VISIBLE_DEVICES=0,1
+
+---
+
+## File Locations
+
+```
+STATE: /opt/data/infra/assets/ai-optimizer/state.json
+RESULTS: /opt/data/infra/assets/ai-optimizer/results.csv
+INFRA_REPO: /opt/data/infra
+```
+
+---
+
+## Model Queues
+
+### GPU Track (Coding - prioritize speed + context on GPU)
+1. `devstral-small-2:24b`
+2. `qwen2.5-coder:32b`
+3. `codellama:34b-instruct`
+
+### RAM Track (Knowledge - prioritize max context)
+1. `qwen2.5:72b`
+2. `nemotron-3-nano:30b`
+3. `mixtral:8x7b-instruct`
+
+---
+
+## Context Steps (in order)
+```
+[32768, 65536, 98304, 131072, 163840, 200704, 262144, 327680]
+```
+
+---
+
+## Each Run - Step by Step
+
+### 1. Read State
+```bash
+cd /opt/data/infra
+cat assets/ai-optimizer/state.json
+```
+
+### 2. Determine Next Test
+- Read `track` (gpu or ram)
+- Read `current_model` from queue at `model_index`
+- Read `current_config` for parameters to test
+- Select next context step from `context_steps` based on `phase`
+
+### 3. Pull Model (if needed)
+```bash
+docker exec ollama ollama list | grep -q "<model>" || docker exec ollama ollama pull <model>
+```
+
+### 4. Create Test Modelfile
+```bash
+docker exec ollama bash -c "cat <<EOF > /root/.ollama/test_${model}.modelfile
+FROM ${model}
+PARAMETER num_ctx ${current_config.num_ctx}
+PARAMETER num_gpu ${current_config.num_gpu}
+PARAMETER flash_attn ${current_config.flash_attn}
+PARAMETER num_predict 4096
+PARAMETER num_keep 1024
+PARAMETER repeat_penalty 1.1
+EOF"
+
+docker exec ollama ollama create test-model -f /root/.ollama/test_${model}.modelfile
+```
+
+### 5. Run Benchmark
+```bash
+# Warm up
+docker exec ollama ollama run test-model "Hello" > /dev/null
+
+# Coding prompt
+START=$(date +%s%N)
+docker exec ollama ollama run test-model "Write a Python async context manager that retries a function with exponential backoff, max 5 retries, and logs each attempt using structlog. Include type hints."
+END=$(date +%s%N)
+
+# Calculate tokens/sec from output
+```
+
+### 6. Measure VRAM (if possible)
+```bash
+# Try host first
+rocm-smi --showmeminfo vram 2>/dev/null || \
+# Try via docker
+docker exec --privileged ollama rocm-smi --showmeminfo vram 2>/dev/null || \
+# Fallback
+echo "VRAM measurement unavailable"
+```
+
+### 7. Record Results
+- Parse tokens/sec from ollama output
+- Record VRAM/RAM usage
+- Determine if this is best config so far for this model
+- Update `best_configs` if tokens/sec improved or context increased
+
+### 8. Update State
+```python
+# Logic:
+if test_successful:
+    if context_step < max_reached:
+        phase = "context_scaling"
+        current_config.num_ctx = next_context_step
+    else:
+        # Move to next model
+        model_index += 1
+        phase = "context_scaling"
+        current_config.num_ctx = context_steps[0]
+else:
+    # OOM or error - record last good as best
+    best_configs[track][current_model] = last_good_config
+    model_index += 1
+    phase = "context_scaling"
+```
+
+### 9. Commit to Repo
+```bash
+cd /opt/data/infra
+git add assets/ai-optimizer/
+git commit -m "ai-optimizer: tested ${model} at ${num_ctx} ctx - ${status}"
+git push origin master
+```
+
+### 10. Matrix Notification (if available)
+```python
+import os
+if os.getenv("MATRIX_HOME_SERVER") and os.getenv("MATRIX_ACCESS_TOKEN"):
+    # Send notification to Matrix room
+    # Room ID from env or config
+    pass
+# Else: silent
+```
+
+---
+
+## Stop Conditions
+
+1. All models in both queues have `best_configs` recorded
+2. Manual intervention needed (error in state.json `error` field)
+3. No progress for 3 consecutive runs (stuck)
+
+---
+
+## Error Handling
+
+If any step fails:
+1. Log error to state.json: `"error": {"message": "...", "timestamp": "..."}`
+2. Do NOT increment model_index (retry next run)
+3. Commit state with error field
+4. Exit gracefully
+
+---
+
+## Important Notes
+
+- **No num_parallel**: Do not use this parameter
+- **Two tracks**: Complete GPU track first, then RAM track
+- **Backend**: Start with ollama, llama.cpp testing is optional (requires uncommenting in compose.yml)
+- **Host access**: Some commands need host - use docker exec or SSH if available
+- **Ask before deploy**: If config changes needed in NixOS modules, show diff and wait for user confirmation before `nh os switch`
+
+---
+
+## Example State Transitions
+
+**Start:**
+```json
+{"track": "gpu", "model_index": 0, "current_model": "devstral-small-2:24b", "current_config": {"num_ctx": 32768, ...}}
+```
+
+**After successful test at 32k:**
+```json
+{"track": "gpu", "model_index": 0, "current_model": "devstral-small-2:24b", "current_config": {"num_ctx": 65536, ...}}
+```
+
+**After OOM at 131k:**
+```json
+{
+  "track": "gpu",
+  "model_index": 1,
+  "current_model": "qwen2.5-coder:32b",
+  "best_configs": {
+    "gpu": {
+      "devstral-small-2:24b": {"num_ctx": 98304, "num_gpu": 99, "tokens_per_sec": 11.2}
+    }
+  }
+}
+```

assets/ai-optimizer/CRON_JOB_DRAFT.md

@@ -0,0 +1,283 @@
+# AI Model Optimization Cron Job
+
+**Goal:** Find optimal configurations for maximum context size with full hardware utilization.
+
+**Hardware:**
+- 2× AMD MI50 GPUs (32GB VRAM each, 64GB total)
+- 128GB system RAM
+- ROCm: HSA_OVERRIDE_GFX_VERSION=9.0.6, HIP_VISIBLE_DEVICES=0,1
+
+---
+
+## Model Queue
+
+### GPU-Optimized (Coding - prioritize speed + context on GPU)
+1. `devstral-small-2:24b` - Best coding model
+2. `qwen2.5-coder:32b` - Strong coder, fits on GPU+offload
+3. `codellama:34b-instruct` - Legacy but solid
+
+### RAM-Optimized (Knowledge - prioritize max context, accept slower)
+1. `qwen2.5:72b` - Best knowledge, needs heavy offload
+2. `nemotron-3-nano:30b` - Good general knowledge
+3. `mixtral:8x7b-instruct` - MoE, efficient for knowledge
+
+---
+
+## Optimization Strategy
+
+**Two separate tracks:**
+
+### Track A: GPU-Focused (Coding)
+```
+Baseline: num_ctx=32768, num_gpu=99, flash_attn=true
+Steps:
+1. Increase context: 32k → 65k → 98k → 131k → 163k
+2. At each step, verify VRAM usage < 60GB (leave headroom)
+3. If OOM: reduce num_gpu until stable, record best
+4. Measure tokens/sec - if < 5 tok/s, consider context too high
+```
+
+### Track B: RAM-Focused (Knowledge)
+```
+Baseline: num_ctx=65536, num_gpu=50, flash_attn=true
+Steps:
+1. Increase context: 65k → 131k → 200k → 262k → 327k
+2. Allow heavy RAM offload (system RAM up to 100GB)
+3. If OOM: reduce context or num_gpu
+4. Speed less critical - focus on max stable context
+```
+
+---
+
+## Backend-Specific Configs
+
+### Ollama (Modelfile parameters)
+```
+PARAMETER num_ctx <value>
+PARAMETER num_gpu <layers>
+PARAMETER flash_attn true/false
+PARAMETER num_predict 4096
+PARAMETER num_keep 1024
+PARAMETER repeat_penalty 1.1
+```
+
+### Llama.cpp (CLI flags)
+```
+--ctx-size <value>
+--n-gpu-layers <layers>
+--flash-attn on/off
+--n-predict 4096
+--batch-size 4096
+--ubatch-size 512
+--cache-type-k f16
+--cache-type-v f16
+--split-mode layer
+--no-mmap
+```
+
+---
+
+## Host Test Instructions
+
+**The cron runs inside the hermes container. Some tests require host access:**
+
+### 1. VRAM Monitoring (HOST)
+```bash
+# Run on host to check VRAM usage during/after benchmark
+sudo rocm-smi --showmeminfo vram
+
+# Or via docker exec if rocm-smi available in container
+docker exec --privileged ollama rocm-smi --showmeminfo vram
+```
+
+### 2. Running Ollama Benchmarks (CONTAINER)
+```bash
+# Pull model
+docker exec ollama ollama pull <model>
+
+# Create custom modelfile
+docker exec ollama bash -c 'cat <<EOF > /root/.ollama/test.modelfile
+FROM <model>
+PARAMETER num_ctx 65536
+PARAMETER num_gpu 99
+PARAMETER flash_attn true
+EOF'
+
+# Create model from modelfile
+docker exec ollama ollama create test-model -f /root/.ollama/test.modelfile
+
+# Run benchmark (warm model first)
+docker exec ollama ollama run test-model "Write a Python async context manager with exponential backoff"
+
+# Cleanup
+docker exec ollama ollama rm test-model
+```
+
+### 3. Running Llama.cpp Benchmarks (CONTAINER - needs llama.cpp container)
+```bash
+# Uncomment llama_cpp_devstral in compose.yml first
+# Then rebuild: sudo nh os switch --flake .#lazyworkhorse
+
+# Test via HTTP API
+curl http://localhost:8300/v1/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "devstral-2-small-llama_cpp",
+    "prompt": "Write a Python function",
+    "max_tokens": 100
+  }'
+```
+
+### 4. Deploying Changes (HOST via ai-worker)
+```bash
+# After optimization, commit results
+cd /home/ai-worker/infra
+git add assets/ai-optimizer/
+git commit -m "ai-optimizer: new best config for <model>"
+git push
+
+# If config changes needed in ollama_init_custom_models.nix:
+# 1. Edit the file
+# 2. nixpkgs-fmt .
+# 3. Show diff to user
+# 4. Wait for confirmation
+# 5. sudo nh os switch --flake .#lazyworkhorse
+```
+
+### 5. Accessing Host from Hermes Container
+```bash
+# SSH to host as ai-worker (key should be mounted)
+ssh -i /path/to/key ai-worker@host.docker.internal
+
+# Or via docker socket if mounted
+# (not recommended for security)
+```
+
+---
+
+## Benchmark Prompts
+
+### Coding (Track A)
+```
+"Write a Python async context manager that retries a function with exponential backoff, max 5 retries, and logs each attempt using structlog. Include type hints and error handling."
+```
+
+### Knowledge (Track B)
+```
+"Explain the complete memory hierarchy in modern GPUs, from registers through L1/L2 caches to VRAM, and how data moves between them during matrix multiplication. Include bandwidth considerations for each level."
+```
+
+### Measurement
+- Tokens per second (generation speed)
+- Time to first token (latency)
+- VRAM usage (via rocm-smi)
+- System RAM usage (via free -h)
+- Context success (did it complete without OOM?)
+
+---
+
+## State File Structure
+
+`/opt/data/infra/assets/ai-optimizer/state.json`
+
+```json
+{
+  "track": "gpu",
+  "current_model": "devstral-small-2:24b",
+  "model_index": 0,
+  "phase": "context_scaling",
+  "backend": "ollama",
+  "current_config": {
+    "num_ctx": 65536,
+    "num_gpu": 99,
+    "flash_attn": true
+  },
+  "best_configs": {
+    "gpu": {
+      "devstral-small-2:24b": {
+        "backend": "ollama",
+        "num_ctx": 131072,
+        "num_gpu": 99,
+        "flash_attn": true,
+        "tokens_per_sec": 12.5,
+        "vram_used_gb": 58.2,
+        "tested_at": "2026-04-28T17:00:00Z"
+      }
+    },
+    "ram": {}
+  },
+  "completed_models": [],
+  "gpu_queue": ["devstral-small-2:24b", "qwen2.5-coder:32b", "codellama:34b-instruct"],
+  "ram_queue": ["qwen2.5:72b", "nemotron-3-nano:30b", "mixtral:8x7b-instruct"]
+}
+```
+
+---
+
+## Results CSV
+
+`/opt/data/infra/assets/ai-optimizer/results.csv`
+
+```csv
+timestamp,track,model,backend,phase,num_ctx,num_gpu,flash_attn,tokens_per_sec,vram_gb,ram_gb,status,is_best
+2026-04-28T17:00:00Z,gpu,devstral-small-2:24b,ollama,context_scaling,65536,99,true,15.2,52.1,18.4,success,false
+```
+
+---
+
+## Cron Job Flow
+
+```
+1. Read state.json
+2. If both queues empty → STOP (all models tested)
+3. Select next model from current track queue
+4. Pull model if needed (docker exec ollama ollama pull)
+5. Create Modelfile / llama.cpp config with current test params
+6. Run benchmark (both prompts)
+7. Measure: tokens/sec, VRAM (rocm-smi), RAM (free -h)
+8. If successful:
+   - Increase context (next step)
+   - Update current_config in state
+9. If OOM/error:
+   - Record last good config as best_configs[track][model]
+   - Move to next model in queue
+10. Update state.json
+11. Append to results.csv
+12. Git commit + push to /opt/data/infra
+13. Send Matrix notification if available, else silent
+```
+
+---
+
+## Matrix Notification (Optional)
+
+```python
+# If matrix credentials available in environment
+if os.getenv("MATRIX_HOME_SERVER") and os.getenv("MATRIX_ACCESS_TOKEN"):
+    # Send completion notification
+    # Room: !ai-optimizer:lazyworkhorse.net (or similar)
+    pass
+# Else: silent, just commit
+```
+
+---
+
+## Files to Create
+
+```
+/opt/data/infra/assets/ai-optimizer/
+├── state.json           # Current progress
+├── results.csv          # All test results
+├── best_configs.json    # Final best configs (human-readable)
+└── CRON_JOB_DRAFT.md    # This file
+```
+
+---
+
+## Notes
+
+- **No num_parallel**: Removed to avoid limiting other settings
+- **Two tracks**: GPU (coding/speed) vs RAM (knowledge/context)
+- **Both backends**: Test ollama first, then llama.cpp if available
+- **Host tests**: rocm-smi must run on host or privileged container
+- **Deploy**: ai-worker has sudo for nh/nixos-rebuild, must ask user first

assets/ai-optimizer/results.csv

@@ -0,0 +1 @@
+timestamp,track,model,backend,phase,num_ctx,num_gpu,flash_attn,tokens_per_sec,vram_gb,ram_gb,status,is_best

assets/ai-optimizer/state.json

@@ -0,0 +1,21 @@
+{
+  "track": "gpu",
+  "current_model": "devstral-small-2:24b",
+  "model_index": 0,
+  "phase": "context_scaling",
+  "backend": "ollama",
+  "current_config": {
+    "num_ctx": 32768,
+    "num_gpu": 99,
+    "flash_attn": true
+  },
+  "best_configs": {
+    "gpu": {},
+    "ram": {}
+  },
+  "completed_models": [],
+  "gpu_queue": ["devstral-small-2:24b", "qwen2.5-coder:32b", "codellama:34b-instruct"],
+  "ram_queue": ["qwen2.5:72b", "nemotron-3-nano:30b", "mixtral:8x7b-instruct"],
+  "context_steps": [32768, 65536, 98304, 131072, 163840, 200704, 262144, 327680],
+  "last_updated": "2026-04-28T17:00:00Z"
+}

docker/hermes/Dockerfile

@@ -0,0 +1,21 @@
+# Custom Hermes Agent image with voice support and ROCm for AMD GPU
+# Builds on upstream image and adds local STT capabilities
+FROM nousresearch/hermes-agent:latest AS base
+
+# Install system dependencies for audio capture
+USER root
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        libportaudio2 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Python packages for voice support
+# Using uv for consistency with Hermes build process
+RUN uv pip install --no-cache-dir \
+    sounddevice \
+    numpy \
+    faster-whisper
+
+# Health check for voice readiness
+HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
+    CMD python3 -c "import sounddevice, faster_whisper; print('voice deps OK')" || exit 1

docker/hermes/entrypoint.sh

@@ -0,0 +1,102 @@
+#!/bin/bash
+# Docker/Podman entrypoint: bootstrap config files into the mounted volume, then run hermes.
+set -e
+
+HERMES_HOME="${HERMES_HOME:-/opt/data}"
+INSTALL_DIR="/opt/hermes"
+
+# --- Privilege dropping via gosu ---
+# When started as root (the default for Docker, or fakeroot in rootless Podman),
+# optionally remap the hermes user/group to match host-side ownership, fix volume
+# permissions, then re-exec as hermes.
+if [ "$(id -u)" = "0" ]; then
+    if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "$(id -u hermes)" ]; then
+        echo "Changing hermes UID to $HERMES_UID"
+        usermod -u "$HERMES_UID" hermes
+    fi
+
+    if [ -n "$HERMES_GID" ] && [ "$HERMES_GID" != "$(id -g hermes)" ]; then
+        echo "Changing hermes GID to $HERMES_GID"
+        # -o allows non-unique GID (e.g. macOS GID 20 "staff" may already exist
+        # as "dialout" in the Debian-based container image)
+        groupmod -o -g "$HERMES_GID" hermes 2>/dev/null || true
+    fi
+
+    # Fix ownership of the data volume. When HERMES_UID remaps the hermes user,
+    # files created by previous runs (under the old UID) become inaccessible.
+    # Always chown -R when UID was remapped; otherwise only if top-level is wrong.
+    actual_hermes_uid=$(id -u hermes)
+    needs_chown=false
+    if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "10000" ]; then
+        needs_chown=true
+    elif [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
+        needs_chown=true
+    fi
+    if [ "$needs_chown" = true ]; then
+        echo "Fixing ownership of $HERMES_HOME to hermes ($actual_hermes_uid)"
+        # In rootless Podman the container's "root" is mapped to an unprivileged
+        # host UID — chown will fail.  That's fine: the volume is already owned
+        # by the mapped user on the host side.
+        chown -R hermes:hermes "$HERMES_HOME" 2>/dev/null || \
+            echo "Warning: chown failed (rootless container?) — continuing anyway"
+    fi
+
+    echo "Dropping root privileges"
+    exec gosu hermes "$0" "$@"
+fi
+
+# --- Running as hermes from here ---
+source "${INSTALL_DIR}/.venv/bin/activate"
+
+# Create essential directory structure.  Cache and platform directories
+# (cache/images, cache/audio, platforms/whatsapp, etc.) are created on
+# demand by the application — don't pre-create them here so new installs
+# get the consolidated layout from get_hermes_dir().
+# The "home/" subdirectory is a per-profile HOME for subprocesses (git,
+# ssh, gh, npm …).  Without it those tools write to /root which is
+# ephemeral and shared across profiles.  See issue #4426.
+mkdir -p "$HERMES_HOME"/{cron,sessions,logs,hooks,memories,skills,skins,plans,workspace,home}
+
+# .env
+if [ ! -f "$HERMES_HOME/.env" ]; then
+    cp "$INSTALL_DIR/.env.example" "$HERMES_HOME/.env"
+fi
+
+# config.yaml
+if [ ! -f "$HERMES_HOME/config.yaml" ]; then
+    cp "$INSTALL_DIR/cli-config.yaml.example" "$HERMES_HOME/config.yaml"
+fi
+
+# Ensure the main config file remains accessible to the hermes runtime user
+# even if it was edited on the host after initial ownership setup.
+if [ -f "$HERMES_HOME/config.yaml" ]; then
+    chown hermes:hermes "$HERMES_HOME/config.yaml"
+    chmod 640 "$HERMES_HOME/config.yaml"
+fi
+
+# SOUL.md
+if [ ! -f "$HERMES_HOME/SOUL.md" ]; then
+    cp "$INSTALL_DIR/docker/SOUL.md" "$HERMES_HOME/SOUL.md"
+fi
+
+# Sync bundled skills (manifest-based so user edits are preserved)
+if [ -d "$INSTALL_DIR/skills" ]; then
+    python3 "$INSTALL_DIR/tools/skills_sync.py"
+fi
+
+# Final exec: two supported invocation patterns.
+#
+#   docker run <image>                 -> exec `hermes` with no args (legacy default)
+#   docker run <image> chat -q "..."   -> exec `hermes chat -q "..."` (legacy wrap)
+#   docker run <image> sleep infinity  -> exec `sleep infinity` directly
+#   docker run <image> bash            -> exec `bash` directly
+#
+# If the first positional arg resolves to an executable on PATH, we assume the
+# caller wants to run it directly (needed by the launcher which runs long-lived
+# `sleep infinity` sandbox containers — see tools/environments/docker.py).
+# Otherwise we treat the args as a hermes subcommand and wrap with `hermes`,
+# preserving the documented `docker run <image> <subcommand>` behavior.
+if [ $# -gt 0 ] && command -v "$1" >/dev/null 2>&1; then
+    exec "$@"
+fi
+exec hermes "$@"

flake.lock

@@ -23,6 +23,20 @@
         "type": "github"
       }
     },
+    "flake-compat": {
+      "flake": false,
+      "locked": {
+        "lastModified": 1751685974,
+        "narHash": "sha256-NKw96t+BgHIYzHUjkTK95FqYRVKB8DHpVhefWSz/kTw=",
+        "rev": "549f2762aebeff29a2e5ece7a7dc0f955281a1d1",
+        "type": "tarball",
+        "url": "https://git.lix.systems/api/v1/repos/lix-project/flake-compat/archive/549f2762aebeff29a2e5ece7a7dc0f955281a1d1.tar.gz"
+      },
+      "original": {
+        "type": "tarball",
+        "url": "https://git.lix.systems/lix-project/flake-compat/archive/main.tar.gz"
+      }
+    },
     "home-manager": {
       "inputs": {
         "nixpkgs": [
@@ -44,7 +58,125 @@
         "type": "github"
       }
     },
+    "lix": {
+      "inputs": {
+        "flake-compat": "flake-compat",
+        "nix2container": "nix2container",
+        "nix_2_18": "nix_2_18",
+        "nixpkgs": [
+          "nixpkgs"
+        ],
+        "nixpkgs-regression": "nixpkgs-regression",
+        "pre-commit-hooks": "pre-commit-hooks"
+      },
+      "locked": {
+        "lastModified": 1774721317,
+        "narHash": "sha256-KS0ElyhZKdUFcfaxfwid3yi2Id3EP9i+dGL16/wx1T8=",
+        "ref": "main",
+        "rev": "d0190cff6f2314cc1c727ff113aea20e086f4bcc",
+        "revCount": 19103,
+        "type": "git",
+        "url": "https://git.lix.systems/lix-project/lix"
+      },
+      "original": {
+        "ref": "main",
+        "type": "git",
+        "url": "https://git.lix.systems/lix-project/lix"
+      }
+    },
+    "lowdown-src": {
+      "flake": false,
+      "locked": {
+        "lastModified": 1633514407,
+        "narHash": "sha256-Dw32tiMjdK9t3ETl5fzGrutQTzh2rufgZV4A/BbxuD4=",
+        "owner": "kristapsdz",
+        "repo": "lowdown",
+        "rev": "d2c2b44ff6c27b936ec27358a2653caaef8f73b8",
+        "type": "github"
+      },
+      "original": {
+        "owner": "kristapsdz",
+        "repo": "lowdown",
+        "type": "github"
+      }
+    },
+    "nix2container": {
+      "flake": false,
+      "locked": {
+        "lastModified": 1767195068,
+        "narHash": "sha256-+OMnL79ZjqM/PCz2hoQ12MnXNoSSfBGnsYBOZnA9XbI=",
+        "owner": "nlewo",
+        "repo": "nix2container",
+        "rev": "bb6801be998ba857a62c002cb77ece66b0a57298",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nlewo",
+        "repo": "nix2container",
+        "type": "github"
+      }
+    },
+    "nix_2_18": {
+      "inputs": {
+        "flake-compat": [
+          "lix",
+          "flake-compat"
+        ],
+        "lowdown-src": "lowdown-src",
+        "nixpkgs": "nixpkgs",
+        "nixpkgs-regression": [
+          "lix",
+          "nixpkgs-regression"
+        ]
+      },
+      "locked": {
+        "lastModified": 1730375271,
+        "narHash": "sha256-RrOFlDGmRXcVRV2p2HqHGqvzGNyWoD0Dado/BNlJ1SI=",
+        "owner": "NixOS",
+        "repo": "nix",
+        "rev": "0f665ff6779454f2117dcc32e44380cda7f45523",
+        "type": "github"
+      },
+      "original": {
+        "owner": "NixOS",
+        "ref": "2.18.9",
+        "repo": "nix",
+        "type": "github"
+      }
+    },
     "nixpkgs": {
+      "locked": {
+        "lastModified": 1705033721,
+        "narHash": "sha256-K5eJHmL1/kev6WuqyqqbS1cdNnSidIZ3jeqJ7GbrYnQ=",
+        "owner": "NixOS",
+        "repo": "nixpkgs",
+        "rev": "a1982c92d8980a0114372973cbdfe0a307f1bdea",
+        "type": "github"
+      },
+      "original": {
+        "owner": "NixOS",
+        "ref": "nixos-23.05-small",
+        "repo": "nixpkgs",
+        "type": "github"
+      }
+    },
+    "nixpkgs-regression": {
+      "locked": {
+        "lastModified": 1643052045,
+        "narHash": "sha256-uGJ0VXIhWKGXxkeNnq4TvV3CIOkUJ3PAoLZ3HMzNVMw=",
+        "owner": "NixOS",
+        "repo": "nixpkgs",
+        "rev": "215d4d0fd80ca5163643b03a33fde804a29cc1e2",
+        "type": "github"
+      },
+      "original": {
+        "owner": "NixOS",
+        "repo": "nixpkgs",
+        "rev": "215d4d0fd80ca5163643b03a33fde804a29cc1e2",
+        "type": "github"
+      }
+    },
+    "nixpkgs_2": {
       "locked": {
         "lastModified": 1774386573,
         "narHash": "sha256-4hAV26quOxdC6iyG7kYaZcM3VOskcPUrdCQd/nx8obc=",
@@ -60,10 +192,27 @@
         "type": "github"
       }
     },
+    "pre-commit-hooks": {
+      "flake": false,
+      "locked": {
+        "lastModified": 1769939035,
+        "narHash": "sha256-Fok2AmefgVA0+eprw2NDwqKkPGEI5wvR+twiZagBvrg=",
+        "owner": "cachix",
+        "repo": "git-hooks.nix",
+        "rev": "a8ca480175326551d6c4121498316261cbb5b260",
+        "type": "github"
+      },
+      "original": {
+        "owner": "cachix",
+        "repo": "git-hooks.nix",
+        "type": "github"
+      }
+    },
     "root": {
       "inputs": {
         "agenix": "agenix",
-        "nixpkgs": "nixpkgs"
+        "lix": "lix",
+        "nixpkgs": "nixpkgs_2"
       }
     },
     "systems": {

flake.nix

@@ -8,10 +8,14 @@
       inputs.darwin.follows = "";
       inputs.nixpkgs.follows = "nixpkgs";
     };
+    lix = {
+      url = "git+https://git.lix.systems/lix-project/lix?ref=main";
+      inputs.nixpkgs.follows = "nixpkgs";
+    };
     self.submodules = true;
   };
 
-  outputs = { self, nixpkgs, agenix, ... }@inputs:
+  outputs = { self, nixpkgs, agenix, lix, ... }@inputs:
     let
       system = "x86_64-linux";
       keys = import ./lib/keys.nix;
@@ -26,6 +30,9 @@
       pkgs = import nixpkgs {
         inherit system overlays;
         config.allowUnfree = true;
+        config.permittedInsecurePackages = [
+          "openclaw-2026.3.12"
+        ];
       };
 
       devShell = import ./shells/nix_dev.nix {
@@ -35,12 +42,16 @@
       {
         nixosConfigurations = {
           lazyworkhorse = nixpkgs.lib.nixosSystem {
-            specialArgs = { inherit system self keys paths; };
+            specialArgs = { inherit system self keys paths inputs; };
             modules = [
               {
                 nixpkgs.overlays = overlays;
                 nixpkgs.config.allowUnfree = true;
                 nixpkgs.config.rocmSupport = true;
+                nixpkgs.config.permittedInsecurePackages = [
+                  "openclaw-2026.3.12"
+                ];
+                nix.package = lix.packages.${system}.default;
               }
               agenix.nixosModules.default
               ./hosts/lazyworkhorse/configuration.nix
@@ -49,7 +60,23 @@
               ./modules/nixos/services/docker_manager.nix
               ./modules/nixos/services/open_code_server.nix
               ./modules/nixos/services/ollama_init_custom_models.nix
+              ./modules/nixos/services/openclaw_node.nix
               ./users/gortium.nix
+              ./users/ai-worker.nix
+            ];
+          };
+
+          cyt-pi = nixpkgs.lib.nixosSystem {
+            specialArgs = { inherit self keys paths inputs; };
+            modules = [
+              {
+                nixpkgs.overlays = overlays;
+                nixpkgs.config.allowUnfree = true;
+                nixpkgs.hostPlatform = "aarch64-linux";
+                nix.package = lix.packages."aarch64-linux".default;
+              }
+              ./hosts/cyt-pi/configuration.nix
+              ./hosts/cyt-pi/hardware-configuration.nix
             ];
           };
         };

hosts/cyt-pi/configuration.nix

@@ -0,0 +1,98 @@
+{ config, lib, pkgs, paths, self, ... }:
+
+{
+  # Basic Host Info
+  networking.hostName = "cyt-pi";
+  time.timeZone = "America/Montreal";
+  i18n.defaultLocale = "en_CA.UTF-8";
+
+  # System State
+  system.stateVersion = "25.05";
+
+  # Boot & Hardware (Pi Zero 2 W is ARM64)
+  boot.loader.grub.enable = false;
+  boot.loader.generic-extlinux-compatible.enable = true;
+  boot.kernelPackages = pkgs.linuxPackages_latest;
+
+  # Networking
+  networking.networkmanager.enable = true;
+  services.openssh = {
+    enable = true;
+    settings.PermitRootLogin = "prohibit-password";
+  };
+
+  # User
+  users.users.gortium = {
+    isNormalUser = true;
+    extraGroups = [ "wheel" "networkmanager" "kismet" ];
+    openssh.authorizedKeys.keys = [
+      # Populate with your public key
+    ];
+  };
+
+  # CYT Project Dependencies (Headless)
+  environment.systemPackages = with pkgs; [
+    git
+    python311
+    python311Packages.opencv4
+    python311Packages.numpy
+    python311Packages.pillow
+    autossh # For the reverse tunnel
+    kismet # Wi-Fi monitoring
+  ];
+
+  # Kismet Service
+  systemd.services.kismet = {
+    description = "Kismet Wi-Fi Monitor";
+    after = [ "network-online.target" ];
+    wantedBy = [ "multi-user.target" ];
+    serviceConfig = {
+      User = "gortium";
+      Group = "kismet";
+      ExecStart = ''
+        ${pkgs.kismet}/bin/kismet -c panda --log-base=/home/gortium/kismet_logs --no-nc-ui
+      '';
+      Restart = "always";
+      RestartSec = "10s";
+    };
+  };
+
+  # Reverse SSH Tunnel Service
+  systemd.services.cyt-tunnel = {
+    description = "Reverse SSH Tunnel to lazyworkhorse.net";
+    after = [ "network-online.target" ];
+    wantedBy = [ "multi-user.target" ];
+    serviceConfig = {
+      User = "gortium";
+      ExecStart = ''
+        ${pkgs.autossh}/bin/autossh -M 0 -N \
+          -o "ServerAliveInterval 30" \
+          -o "ServerAliveCountMax 3" \
+          -R 19999:localhost:22 \
+          gortium@lazyworkhorse.net -p 2425 \
+          -i /home/gortium/.ssh/cyt_tunnel_key
+      '';
+      Restart = "always";
+      RestartSec = "10s";
+    };
+  };
+
+  # CYT Application Service
+  systemd.services.cyt-app = {
+    description = "Chasing Your Tail - Target Detector";
+    after = [ "network-online.target" "kismet.service" ];
+    wantedBy = [ "multi-user.target" ];
+    serviceConfig = {
+      User = "gortium";
+      WorkingDirectory = "/home/gortium/Chasing-Your-Tail-NG";
+      ExecStart = ''
+        ${pkgs.python311}/bin/python3 target_detector_cli.py --min-ssids 2
+      '';
+      Restart = "on-failure";
+      RestartSec = "60s";
+      Environment = [
+        "CYT_KISMET_LOGS=/home/gortium/kismet_logs"
+      ];
+    };
+  };
+}

hosts/cyt-pi/hardware-configuration.nix

@@ -0,0 +1,24 @@
+{ config, lib, pkgs, modulesPath, ... }:
+
+{
+  imports =
+    [ (modulesPath + "/installer/scan/not-detected.nix")
+    ];
+
+  boot.initrd.availableKernelModules = [ "xhci_pci" "usbhid" "sdhci_pci" ];
+  boot.initrd.kernelModules = [ ];
+  boot.kernelModules = [ ];
+  boot.extraModulePackages = [ ];
+
+  # Pi Zero 2 W specific filesystem
+  fileSystems."/" =
+    { device = "/dev/disk/by-label/NIXOS_SD";
+      fsType = "ext4";
+      options = [ "noatime" ];
+    };
+
+  swapDevices = [ ];
+
+  nixpkgs.hostPlatform = lib.mkDefault "aarch64-linux";
+  hardware.enableRedistributableFirmware = true;
+}

hosts/lazyworkhorse/configuration.nix

@@ -9,7 +9,7 @@
   hoardingcow-mount.enable = true;
 
   # Flakesss
-  nix.settings.experimental-features = [ "nix-command" "flakes" ];
+  nix.settings.experimental-features = [ "nix-command" "flakes" "flake-self-attrs" ];
   nix.settings.trusted-users = [ "root" "gortium" ];
 
   # Garbage collection
@@ -135,6 +135,7 @@
     kitty.terminfo
     nodejs_22
     uv
+    openclaw
     (python3.withPackages (ps: with ps; [
       openai-whisper
     ]))
@@ -209,6 +210,7 @@
 
     coms = {
       path = self + "/assets/compose/coms";
+      envFile = config.age.secrets.containers_env.path;
     };
 
     finance = {
@@ -248,16 +250,33 @@
         mode = "0600";
         path = "/etc/ssh/ssh_host_ed25519_key";
       };
-      # n8n_ssh_key = {
-      #   file = ../../secrets/n8n_ssh_key.age;
-      #   owner = "root";
-      #   group = "root";
-      #   mode = "0600";
-      #   path = "/home/n8n-worker/.ssh/n8n_ssh_key";
-      # };
+      ai_ssh_key = {
+        file = ../../secrets/ai_ssh_key.age;
+        owner = "root";
+        group = "root";
+        mode = "0600";
+        path = "/home/ai-worker/.ssh/ai_ssh_key";
+      };
+      openclaw_gateway_token = {
+        file = ../../secrets/openclaw_gateway_token.age;
+        owner = "root";
+        group = "ai-worker";
+        mode = "0440";
+        path = "/run/secrets/openclaw_gateway_token";
+      };
     };
   };
 
+  # OpenClaw Node service (host-side execution for Docker gateway)
+  services.openclaw-node = {
+    enable = true;
+    user = "ai-worker";
+    gatewayHost = "127.0.0.1";
+    gatewayPort = 18789;
+    gatewayTokenFile = "/run/secrets/openclaw_gateway_token";
+    displayName = "lazyworkhorse-host";
+  };
+
   # Public host ssh key (kept in sync with the private one)
   environment.etc."ssh/ssh_host_ed25519_key.pub".text =
     "${keys.hosts.lazyworkhorse.main}";

lib/keys.nix

@@ -6,7 +6,7 @@
       gitea = "ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIN9tKezYidZglWBRI9/2I/cBGUUHj2dHY8rHXppYmf7F";
     };
     
-    n8n-worker = {
+    ai-worker = {
       main = "ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIAXeGtPPcsP2IYRQNvII41NVWhJsarEk8c4qxs/a5sXf";
     };
   };

modules/nixos/services/docker_manager.nix

@@ -29,6 +29,11 @@ with lib;
     systemd.services = mapAttrs' (name: value: nameValuePair "${name}_stack" {
       description = "Docker Compose stack: ${name}";
       
+      # Forces systemd to restart when the files change
+      reloadTriggers = [
+        "${builtins.hashFile "sha256" (toString value.path + "/compose.yml")}"
+      ] ++ (lib.optional (value.envFile != null) "${value.envFile}");
+
       after = [ "network.target" "docker.service" "docker.socket" "agenix.service" ];
       wants = [ "docker.socket" "agenix.service" ];
       requires = [ "docker.service" ];

modules/nixos/services/openclaw_node.nix

@@ -0,0 +1,64 @@
+{ config, lib, pkgs, ... }:
+
+let
+  cfg = config.services.openclaw-node;
+  openclawPkg = pkgs.openclaw;
+in {
+  options.services.openclaw-node = {
+    enable = lib.mkEnableOption "OpenClaw Node service";
+
+    user = lib.mkOption {
+      type = lib.types.str;
+      default = "ai-worker";
+      description = "User to run the OpenClaw headless node as.";
+    };
+
+    gatewayHost = lib.mkOption {
+      type = lib.types.str;
+      default = "127.0.0.1";
+      description = "Gateway host (IP or hostname).";
+    };
+
+    gatewayPort = lib.mkOption {
+      type = lib.types.int;
+      default = 18789;
+      description = "Gateway WebSocket port.";
+    };
+
+    gatewayTokenFile = lib.mkOption {
+      type = lib.types.str;
+      default = "";
+      description = "Path to file containing the gateway auth token.";
+    };
+
+    displayName = lib.mkOption {
+      type = lib.types.str;
+      default = "lazyworkhorse-host";
+      description = "Display name for this node (shown in pairing).";
+    };
+  };
+
+  config = lib.mkIf cfg.enable {
+    systemd.services.openclaw-node = {
+      description = "OpenClaw Headless Node Service";
+      after = [ "network.target" ];
+      wantedBy = [ "multi-user.target" ];
+
+      serviceConfig = {
+        Type = "exec";
+        User = cfg.user;
+        Group = cfg.user;
+        WorkingDirectory = "/home/${cfg.user}";
+        ExecStart = ''
+          ${pkgs.bash}/bin/bash -c 'export OPENCLAW_GATEWAY_TOKEN=$(cat ${cfg.gatewayTokenFile}) && exec ${openclawPkg}/bin/openclaw node run --host ${cfg.gatewayHost} --port ${toString cfg.gatewayPort} --display-name "${cfg.displayName}"'
+        '';
+        Restart = "always";
+        RestartSec = 5;
+      };
+
+      environment = {
+        NODE_ENV = "production";
+      };
+    };
+  };
+}

secrets/containers.env.age

@@ -1,32 +1,34 @@
 -----BEGIN AGE ENCRYPTED FILE-----
-YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IHNzaC1lZDI1NTE5IEdoTUQ4QSBmeWR3
-UzRxRGlkU2h2cjVjQlJrcjhYcm5oRWt3SFdSb0t4Wjd2ZTFKNTJjCjNIVmRtRmoz
-RTMyTDB5a1NJMU56RnFJRVFLSW1oMERGZ2RRSFgxQ0ZuSzgKLT4gVkAtZ3JlYXNl
-ICw+WDxrIFIsCk9MRDQ2ZWlPN2JUWDVyZWlQUGN3Ci0tLSB4WGhCdWdkN3M2THJZ
-VnB2SFFqa1NTcUh0bG9qTWNzT3BBUW5qQ0M4aUFzCsFpZE1btvUR1BwkUNC8qy3m
-0SwXk/gUS1519LuEnvZg7Mc+EB23e6nmz8rK34ycR+stTbVNv1xV2xCLxLoTg9wf
-+ThXsVrf18kv0N92X3d5v7clMVC4eMr9CcyfBY+HaMgNa72aRyVyyxKgg/v6oks+
-QEHssNw8+TKxjfeoxdCmsYVDEQME4id8vqoDOkyAg2IAXPCVVhN9G9fuMPyT1TWk
-yJD1RgpyzBkR0yBEQkxgY1GJ76TI0h85hveNbXQXZTuU2yj0KJbdj2gXDGdrqbu7
-r/6ZlRGlC2tSqtRBot6BatVIhtGZNVQnXbiVlQCmO1mh4XyxF7rKsCa7r3yVuvFN
-XybugrWSdG7dJF6ne/dMMsnwhvrKZFwUosjMnoH/x/LF2bOLAcA6i2WA6ivWzo9c
-6NmND6sLkQJWyychbLu4AmRg4MgVTlTGwTCizOe3xEo9qRrQBX7PmvuXSs+IE1o4
-l7pb0DSzIa80BT0Otj9tFlei1nwRh8wzEVECV0FUjilUvUp19mJ6Cn+/RnHTSOp9
-1UGrOFxbamx4L4yFWL3rWoqBpbO4CBSCGM7moDEhAQn/OsZgeUhKeIDvrEBtCeZ3
-vC/v0lVgfXZDd+aRSLPbGaRNwifyc5UeBWF1WvkJXi3jDUK7qFOT/RInVQDDF3u9
-YbvnHPler1UfbbPihHTFbCJu8lJHMLHfpe07j2cx4hCPMv/4Yx+xBAstPXwtaOuw
-/9PCvPvvGvygdzljKTksnsMVN11cQzmU3l1dKHvr5sNk1n+U+uW0xDrT9Nv1ZETg
-IY64EtzsqH48YAJ6SV6h4dZ8D9R5qTg4T5yP7D4PLuFtNGeqd7++zhBCZLZ3HEQ6
-M1SlHzWk59xBN4agrLKX0VjPYBwmg8wkpRfU5A4Rg36H4mZLHEUKqFVx6BaHfDZ2
-5P3o7GbZB39Zs9mZb70ZZJ5TFUsCEISfJHz/u5u4/duSBLeyHXah2dmXrQ1eUWT4
-MNNcJ6+53Us4LTe96ttYNa/v5RQVoarTwNM7x7ux5j59QHozVOK1NO8Z4+oHD/ZD
-rJQlXAeAUrhkZLluzzy1JL45tBpPm3oAfU3xB178c+fMoWtZxyWrBfu1iRzwyDWC
-MKgK29h9HeGwQc9dB8exQr2cj5NhqUOiaWP8dH1N/g+KYIPVNRgKjdDucsxTcbDN
-bIIz2qus6jQkOfmbtdoHWMp+kwXSHRF7MwECKxkAIcNdxnLI1DecNhjbiItnPlgI
-1uy0fERRc12BLg3dLV3YkBL358SRww+pxho87IQuS9x9aQeExksk0Y10QR8J/1g0
-cEXUhDNfeI+mKyuISxV6Zs4Fp7+6P6bd5Bs2Xyxw3A3PTdWn12brb62O1N81LiAv
-yccIDR24lb0VDD+aIq28FBUPQ62tVdtZgRfJhkVxelgzHuGATOTluDZH+6GE3rEj
-z1OoormFX/2TovCNnTVJRs1ifWUe+a2QHcAFFfL0Y1RBbIPYDMykfjCPNaWqarlX
-Z50QIWv6Ov1oDBZY59fjx5Bfm+Es+edMC4b2GibRKS5wwpOzGDEKDXVoTEv3NX+B
-NV4p3oDKEE8anYffrB+v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 -----END AGE ENCRYPTED FILE-----

secrets/openclaw_gateway_token.age

@@ -0,0 +1,11 @@
+-----BEGIN AGE ENCRYPTED FILE-----
+YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IHNzaC1lZDI1NTE5IEdoTUQ4QSBCWEpO
+cG9yNnFpcHFqTkNzTngxU1MxN0NYK0hrZFhUTjVORWFrK3JNd2tZCmtMTGpwQk1E
+WlUwL3N6SGRWblpnNEkrWkkyU2hQMkRIK0M3R0pOVEREV3MKLT4gY2osLWdyZWFz
+ZSBacSozVVQgUCAxRS1OQSAuKXxDPCoKbStWNW1BZjBZQzNDaTlDbU5EZkxsRWxM
+cXJ3dDU1RDNpOXRlV0tzdEp2NUo3S1lhRG5Md0RHTGlJdkFSYmt5YQo4R1hiQWRG
+V2VxekJKZwotLS0geG1XSi9VbkhXZHQzcEFVS3hKNzVueXFLa2xnZTc3Q2tJTVZ5
+eXJabWk5Ywp6bJCP3s0xxzjE+eTR+cv7ZUnkoliT/n7uIprq1BTn/LIRLkUTUqs3
+NiDwrXcoq4/QKd0Dt+8ap3vFAuusjGxRlnYMaRrZie2AGtTV8U7Q7durm9o2K+/4
+QzRQ/MtumIQm
+-----END AGE ENCRYPTED FILE-----

secrets/secrets.nix

@@ -10,4 +10,5 @@ in
   "containers.env.age".publicKeys = authorizedKeys;
   "lazyworkhorse_host_ssh_key.age".publicKeys = authorizedKeys;
   "n8n_ssh_key.age".publicKeys = authorizedKeys;
+  "openclaw_gateway_token.age".publicKeys = authorizedKeys;
 }

users/ai-worker.nix

@@ -2,6 +2,8 @@
   users.users.ai-worker = {
     isSystemUser = true;
     group = "ai-worker";
+    home = "/home/ai-worker";
+    createHome = true;
     extraGroups = [ "docker" ];
     shell = pkgs.bashInteractive;
     openssh.authorizedKeys.keys = [