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obsidian-vault/300 areas/350 AI/Pi Agent Extensions & Skills.md

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---
created: 2026-05-16
modified: 2026-08-02
type: note
tags:
- ai
- dev-ops
aliases: []
---
# Pi Agent Extensions & Skills
## Source Repositories
| Source | Location |
|---|---|
| Gitea (package) | `git:https://gitea.lab.audasmedia.com.au/sam/pi-config` |
| Local filesystem | `~/.agents/` |
| Project settings | `sys_config/.pi/settings.json`, `ai_setup/.pi/settings.json` |
---
## OmniRoute — LLM Provider Router
OmniRoute is the central LLM routing proxy running on .13 (port 20128/20129). All three machines route pi's LLM requests through it.
| Aspect | Detail |
|--------|--------|
| **What it is** | Docker-based LLM proxy with **combo routing** — you define a prioritized list of providers and it tries them in order until one succeeds |
| **Where** | `.13:20129` via Docker, exposed through Caddy on .35 for remote access |
| **Provider registered in pi as** | `omni` (not `omniroute`) — the `omniroute-pi-ext-integration` npm package registers the `omni` provider |
| **Pi default model** | `default-opencode-go-ds-flash` — a combo on OmniRoute that prioritises OpenCode-Go's DeepSeek V4 Flash ($5/month sub) before falling back to other providers |
| **Combo chain** | User-created combo `default-opencode-go-ds-flash` tries providers in order: OpenCode-Go → OpenRouter → DeepSeek direct → Google Gemini |
| **Sub-agent routing** | Sub-agents route through the same combo — individual model IDs like `opencode-go/deepseek-v4-flash` match the combo and fall through the same priority chain |
| **Models** | 484 models available via OmniRoute (synced with `/omni sync`), available in pi's Ctrl+P model picker |
| **How pi connects** | The `omniroute-pi-ext-integration` extension registers all models + the `omni` provider. URL + API key set once via `/omni setup`. Re-sync via `/omni sync`. |
### Files & Commands
| Item | Location / Command |
|------|-------------------|
| Docker compose | `/home/sam/Docker/Containers/omniroute/docker-compose.yml` on .13 |
| pi extension | `omniroute-pi-ext-integration` (npm package, installed via `pi install npm:omniroute-pi-ext-integration`) |
| Extension config | `~/.pi/agent/models.json` — stores URL + API key for `omni` provider, plus model list |
| Setup | `/omni setup` (one-time: URL + API key) |
| Sync | `/omni sync` (re-fetch model list) |
| Access (local) | `http://192.168.20.13:20129/v1` |
| Access (via Caddy) | `https://omniroute.lab.audasmedia.com.au/v1` |
| API key | `sk-fff5c0d55c0bc0bf-b58ed0-76da5716` (stored in `~/.config/environment.d/10-secrets.conf` on .27/.51, hardcoded in settings.json on .13) |
---
## Open WebUI — Chat Frontend
Open WebUI v0.11.0 runs on .13 as a native NixOS process (not Docker), managed via Home Manager. Provides a chat UI that can connect to any OpenAI-compatible API — including OmniRoute.
| Aspect | Detail |
|--------|--------|
| **URL** | `http://192.168.20.13:3000` |
| **Package** | `open-webui-0.11.0` (NixOS nixpkgs) |
| **How to connect OmniRoute** | Admin Panel ⚙️ → Settings → Connections → OpenAI API → URL: `http://192.168.20.13:20129/v1`, Key: OmniRoute API key |
| **Also works with** | Any OpenAI-compatible API (TokenRouter, OpenRouter, DeepSeek) — add each as a separate connection |
| **Port note** | :3000 is taken by Open WebUI. Langfuse was bumped to :3001. |
### Pi default model selection model
Machines route through `omni` provider with `defaultModel: "default-opencode-go-ds-flash"`:
```
pi → omni provider → POST /v1/chat/completions { model: "default-opencode-go-ds-flash" }
→ OmniRoute matches combo "default-opencode-go-ds-flash"
→ Tries: OpenCode-Go → OpenRouter → DeepSeek direct → Google Gemini
→ Returns first successful response
```
### Per-machine setup state
| Machine | Package installed | Provider config | `/omni setup` done | Models synced |
|---------|-----------------|-----------------|-------------------|--------------|
| .27 | ✅ In home.nix | ✅ `omni` | ✅ | ✅ |
| .13 | ✅ pi install | ✅ `omni` | ✅ | ✅ |
| .51 | ✅ pi install | ✅ `omni` | ✅ | ✅ |
---
## Extensions
| Extension | Source | Purpose |
|---|---|---|
| **pi-config** | `~/.agents` | `/config-add`, `/config-remove`, `/config-show`, `/config-setup` — manage which extensions/skills are active in a project |
| **tavily-search** | Gitea | `tavily_search` — web search via Tavily API (AI-optimized) |
| **web-fetch** | `~/.agents` | `web_fetch` — fetch any URL and return clean markdown (HTML, PDF, JS-rendered with Jina fallback) |
| **ask-user-question** | `~/.agents` | `ask_user_question` — LLM presents structured multiple-choice / text questions with keyboard UI |
| **video-extract** | `~/.agents` | `video_extract` — extract frames from YouTube/local video + full Gemini analysis (requires ffmpeg + yt-dlp + GEMINI_API_KEY) |
| **filechanges** | `~/.agents` | `/filechanges`, `/filechanges-accept`, `/filechanges-decline` — tracks every file LLM edits/writes, diff review, revert |
| **pi-prompt-template-model** | npm (global) | Model-switching prompt templates with frontmatter. See [[#Prompt Templates]] section below |
| **pi-mcp-adapter** | npm (global) | Single proxy tool (~200 tokens) replaces hundreds of MCP tool definitions. `/mcp` command for management. Lazy server connections |
| **pi-graphify** | `~/.agents` | Knowledge graph tools: build, query, path tracing, explain, watch, add, update |
| **plannotator** | `~/.agents` | Interactive plan review with browser UI, annotations, code review |
| **caveman** | `~/.agents` | Ultra-compressed communication mode |
| **markitdown** | `~/.agents` | Convert files (PDF, Word, Excel, PPTX, images, HTML, etc.) to Markdown. Image analysis via Qwen 2.5 VL 72B on OpenRouter. |
| **@tintinweb/pi-subagents** | npm (global) | 18 custom agent types, background agents, mid-run steering, session resume, worktree isolation, scheduling, cross-extension RPC. See [[Pi Subagent]] for full documentation |
| **@tintinweb/pi-tasks** | npm (global) | Task management with dependency tracking, auto-cascade, background process tracking, TaskExecute spawns subagents via RPC |
| **gentle-engram** | `~/.agents` | Memory service connecting to engram via ENGRAM_URL. Replaces memory-vault. Session capture, compaction recovery |
| **headroom-bridge** | `~/.agents` | `compress_for_agent` tool — compresses >20K chars via Headroom Docker on .13:8787. 60-95% token reduction |
### pi-subagents (@tintinweb)
v0.10.2, installed globally. 18 custom agent types in `~/.pi/agent/agents/``~/.agents/agents/`. Tools: `Agent()`, `get_subagent_result()`, `steer_subagent()`. `/agents` command for interactive management. Features: background agents with concurrency (4 default), mid-run steering, session resume, worktree isolation, scheduling, persistent widget showing live agent status. Cross-extension RPC event bus. Patched: 24h agent survival (was 10min), clearDisabled on session start. See [[Pi Subagent]] for full documentation.
### pi-tasks (@tintinweb)
v0.7.0, installed globally. 7 task tools: `TaskCreate`, `TaskList`, `TaskGet`, `TaskUpdate`, `TaskOutput`, `TaskStop`, `TaskExecute`. `/tasks` command. Features: dependency tracking (blocks/blockedBy), auto-cascade, background process tracking, persistent widget. `TaskExecute` spawns subagents via RPC.
---
## Skills
| Skill | Purpose |
|---|---|
| **nixos-workflow** | STRICT workflow for managing Pi assets via Gitea on NixOS |
| **system-architect** | Multi-machine NixOS infrastructure (Snapcast, MQTT, Docker, Nvim) |
| **obsidian-cli** | Interact with Obsidian vault (notes, search, plugin dev, theme dev) |
| **graphify** | Full-pipeline knowledge graph orchestration |
| **caveman** | Caveman communication mode |
| **openspec-propose** | Propose new changes with design docs, specs, tasks |
| **openspec-apply-change** | Implement tasks from an OpenSpec change |
| **openspec-archive-change** | Archive completed changes |
| **openspec-explore** | Explore ideas and clarify requirements |
| **npm-security** | Scan packages with SafeDep Vet, check typosquatting with npq, wrap installs with Socket Firewall |
| **ste-writing** | Rewrite prose (docs, READMEs, PRs, errors) into ASD-STE100 Simplified Technical English. Removes AI slop. Two modes: strict (procedures) and STE-flavored (general prose). Includes heuristic anti-slop linter (ste-lint.py). |
| **design-build** | Generate production-ready HTML/Tailwind code from design specifications and DESIGN.md design tokens. |
| **design-explore** | Generate UI design mockups as images for exploration and ideation. Supports DESIGN.md for design-token-accurate mockups. |
| **markitdown** | Convert files (PDF, Word, Excel, PowerPoint, images, HTML, CSV, JSON, XML, ZIP, EPubs, YouTube) to Markdown for LLM consumption. Image analysis via Qwen 2.5 VL 72B on OpenRouter. |
---
## markitdown
Convert various file formats to Markdown. Useful for feeding documents and images into LLMs.
### What it converts
| Format | Input | Notes |
|--------|-------|-------|
| PDF | `.pdf` | Preserves structure (headings, lists, tables) |
| Word | `.docx` | mammoth + lxml |
| PowerPoint | `.pptx` | python-pptx |
| Excel | `.xlsx`, `.xls` | openpyxl + pandas |
| Images | `.jpg`, `.png`, etc. | EXIF metadata (free) + LLM vision description (via OpenRouter) |
| HTML | `.html` | beautifulsoup4 |
| CSV / JSON / XML | `.csv`, `.json`, `.xml` | Structured data → Markdown tables |
| ZIP | `.zip` | Iterates contents, converts each file |
| EPubs | `.epub` | |
| YouTube | URLs | Transcript extraction |
### CLI usage
```bash
# Convert file to Markdown (stdout)
markitdown document.pdf
# Write to file
markitdown document.pdf -o document.md
# Image with LLM vision description
markitdown-vision photo.jpg
```
### Image analysis
Two levels:
1. **EXIF metadata only** (free, no API key): `markitdown photo.jpg`
2. **LLM vision description** (via OpenRouter, requires API key): `markitdown-vision photo.jpg`
The `markitdown-vision` wrapper auto-sources `OPENROUTER_API_KEY` from `~/.config/environment.d/10-secrets.conf` and uses `qwen/qwen2.5-vl-72b-instruct`.
### Missing / can be added
| Feature | What's needed |
|---------|--------------|
| Audio transcription | `pip install markitdown[audio-transcription]` (pydub + speechrecognition) |
| Azure AI Document Intelligence | `pip install markitdown[az-doc-intel]` + Azure credentials |
| Azure Content Understanding | `pip install markitdown[az-content-understanding]` + Azure credentials |
| markitdown-ocr plugin | Installed but needs OpenRouter key enabled to activate |
---
## falcode-zellij
Zellij plugin + agent extensions that track all active AI coding panes (pi, OpenCode, Claude Code) across Zellij sessions in a floating popup. Jump to any pane with one keystroke. Shows attention icons on Zellij tabs when an agent starts/stops working.
### Components
| Component | Location | Purpose |
|-----------|----------|---------|
| **Zellij WASM plugin** | `~/.config/zellij/plugins/falcode-zellij-sessions.wasm` | Floating popup UI showing all agent panes |
| **pi extension** | `~/.pi/agent/extensions/falcode.ts` | Reports pi pane status (working/idle) to the Zellij plugin |
| **attention WASM** | `~/.config/zellij/plugins/zellij-attention.wasm` | Shows ⏳/✅ icons on Zellij tabs when agent is active/done |
| **detection script** | `~/.local/state/falcode-zellij/` | Shared state directory for pane status snapshots |
### Keybindings
| Key | Action |
|-----|--------|
| `Alt a` | Launch/focus falcode floating popup (config.kdl `shared_except "locked"`) |
### pi integration
The `falcode.ts` extension auto-detects Zellij via `ZELLIJ_PANE_ID`/`ZELLIJ_SESSION_NAME` env vars. Outside Zellij it's a no-op.
- `agent_start` event → writes `"working"` status
- `agent_end` event → writes `"waiting_user_input"` status
- Heartbeat every 60s to keep pane alive
- `FALCODE_NOTIFY_SCRIPT=/bin/true` in home.nix (disables macOS notifications on Linux)
### Install on new machine
```bash
# pi extension
mkdir -p ~/.pi/agent/extensions
curl -L https://raw.githubusercontent.com/victor-falcon/falcode-zellij/main/pi-extension/falcode.ts \
-o ~/.pi/agent/extensions/falcode.ts
# WASM plugins
mkdir -p ~/.config/zellij/plugins
curl -L https://github.com/victor-falcon/falcode-zellij/releases/latest/download/falcode-zellij-sessions.wasm \
-o ~/.config/zellij/plugins/falcode-zellij-sessions.wasm
curl -L https://github.com/victor-falcon/falcode-zellij/releases/latest/download/zellij-attention.wasm \
-o ~/.config/zellij/plugins/zellij-attention.wasm
```
### Claude Code integration
Also has a hook at `~/.local/state/falcode-zellij/falcode-hook.sh` for Claude Code status reporting. See [README](https://github.com/victor-falcon/falcode-zellij#readme) for Claude config.
### Zellij config (`config.kdl`)
Already configured in Home Manager:
```kdl
plugins {
falcode location="file:/home/sam/.config/zellij/plugins/falcode-zellij-sessions.wasm" {
state_dir "/home/sam/.local/state/falcode-zellij"
}
attention location="file:/home/sam/.config/zellij/plugins/zellij-attention.wasm"
}
load_plugins {
"file:/home/sam/.config/zellij/plugins/zellij-attention.wasm" {
enabled "true"
waiting_icon "⏳"
completed_icon "✅"
}
}
keybinds {
shared_except "locked" {
bind "Alt a" {
LaunchOrFocusPlugin "falcode" {
floating true
move_to_focused_tab true
}
}
}
}
```
---
## Security Tools (npm Global)
Three tools installed globally at `~/.local/share/npm-global/bin/` to guard package installs.
### SafeDep Vet (`vet`)
Scans local directories for multi-language malware signatures. Catches obfuscated code, suspicious imports, base64 payloads.
```bash
# Scan a cloned repo before touching it
vet scan -D . --format json --filter "package.malware == true"
# Scan package metadata from npm registry
vet scan package <name> --format json
```
### Socket Firewall (`socket`)
Wraps npm/pip installs with real-time scanning. Blocks malicious packages at install time.
```bash
# Safe npm install
socket npm install <package>
# Safe pip install
socket pip install -r requirements.txt
```
### npq
Checks package names against typosquatting lists before install. Lightweight, local, no phoning home.
```bash
npq check <package> --json
```
### Workflow
```
1. vet scan → checks for malware in the code/package
2. npq check → checks the package name for typosquatting
3. socket install → wraps the actual install with runtime scanning
```
The **npm-security** skill instructs the Pi agent to follow this workflow before any install.
## Headroom
Headroom is a **context compression layer** that reduces prompt token usage by 60-95% for heavy analysis/code/devops workloads. It runs as a Docker container on the server (192.168.20.13) and is triggered by the headroom-bridge extension.
### How it works
1. headroom-bridge detects analysis/code/devops contexts
2. Tags `read`, `discuss`, `search` **never** trigger compression (these are fast paths)
3. For all other tags, if accumulated context exceeds ~5K tokens, headroom-bridge calls `compress()`
4. Messages are sent to the Headroom proxy at `192.168.20.13:8787`
5. Headroom compresses the context (using SmartCrusher for JSON, CodeCompressor for AST, Kompress-base ML for text)
6. Compressed messages are returned and forwarded to the LLM
7. If the proxy is down, messages pass through unchanged (graceful fallback)
### Architecture
```
Desktop (.27) Server (.13)
───────────── ────────────
headroom-bridge headroom proxy (Docker)
│ │
│ if compress needed: │
│ compress_for_agent(content) ──────►│
│ HTTP POST 192.168.20.13:8787 │
│ ◄────────── compressed content │
│ │
│ return to agent │
│ │
│ if proxy down: pass through │
```
### Compression thresholds
| Condition | Action |
|---|---|
| Tag is `read`/`discuss`/`search` | Skip — no compression |
| Context < 5K tokens | Skip — too small to benefit |
| Context ≥ 5K tokens + analysis/code/devops tag | Compress |
| Proxy unreachable | Pass through unchanged |
### headroom-bridge
Path: `~/.agents/extensions/headroom-bridge/index.ts`. Tool: `compress_for_agent({ content })` — compresses content >20K chars via Headroom Docker on .13:8787. 60-95% token reduction. See [[#Function Calls]] for signature.
### Management
```bash
# Check status
ssh 192.168.20.13 "docker ps --filter name=headroom"
# View logs
ssh 192.168.20.13 "docker logs --tail 20 headroom"
# Restart
ssh 192.168.20.13 "docker restart headroom"
# Update image
ssh 192.168.20.13 "cd /home/sam/Docker/Containers/headroom && docker compose pull && docker compose up -d"
```
### Files
| File | Purpose |
|------|---------|
| `~/.agents/extensions/headroom-bridge/index.ts` | `compress_for_agent` tool implementation |
| `/home/sam/Docker/Containers/headroom/docker-compose.yml` | Docker service definition (on .13) |
| `/home/sam/Docker/Containers/headroom/.env` | Environment file (on .13) |
## codebase-memory-mcp
Code intelligence MCP server by DeusData. Single static C binary (~13MB), zero dependencies, 158 languages. Indexes a codebase into a persistent knowledge graph — average repo in milliseconds. 15 MCP tools for structural queries. Runs locally, code never leaves your machine.
**Install:**
```bash
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash
```
Installed to `~/.local/bin/codebase-memory-mcp`.
**Index a project:**
```
mcp({ tool: "index_repository", args: '{"repo_path": ".", "mode": "fast"}' })
```
**15 Tools:**
| Tool | What it does |
|------|-------------|
| `index_repository` | Index a repo (full/moderate/fast/cross-repo-intelligence modes) |
| `search_graph` | BM25 full-text search + semantic vector search for code |
| `query_graph` | Cypher queries — multi-hop patterns, complexity analysis |
| `trace_path` | Follow call chains, data flow, or cross-service HTTP via Route nodes |
| `get_code_snippet` | Read source code for a function/class/symbol |
| `get_graph_schema` | Show available node labels and edge types |
| `get_architecture` | High-level architecture: packages, clusters, routes, entry points |
| `search_code` | Grep + graph enrichment, ranked by structural importance |
| `list_projects` | List all indexed projects |
| `delete_project` | Remove a project from the graph |
| `index_status` | Check index freshness and stats |
| `detect_changes` | Find files changed since last index |
| `manage_adr` | Architecture Decision Records |
| `ingest_traces` | Import OpenTelemetry traces into the graph |
**MCP config** (`~/.pi/agent/mcp.json`):
```json
{
"mcpServers": {
"codebase-memory": {
"command": "/home/sam/.local/bin/codebase-memory-mcp",
"lifecycle": "lazy"
}
}
}
```
**Deployed on all machines (.27, .13, .51):**
```bash
~/.local/bin/codebase-memory-mcp --version # v0.9.0
```
Path not in shell PATH on .13/.51 — MCP config uses absolute path `/home/sam/.local/bin/codebase-memory-mcp` so still works.
**Install command (if needed on new machine):**
```bash
curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash
```
**UI mode** (graph visualization at `localhost:9749`):
```bash
curl -fsSL .../install.sh | bash -s -- --ui
codebase-memory-mcp --ui=true --port=9749
```
Paper: [arXiv:2603.27277](https://arxiv.org/abs/2603.27277)
---
## code-review-graph
Structural code intelligence MCP server by tirth8205. Parses source code with Tree-sitter AST into a knowledge graph (functions, classes, imports, calls, inheritance, tests). Stored in SQLite. 28+ MCP tools for token-efficient code review, blast-radius analysis, and architectural insights. **Per-project** — each repo gets its own `.code-review-graph/graph.db`.
**Install:**
```bash
uv tool install code-review-graph # or: pipx install code-review-graph
```
Installed to `~/.local/bin/code-review-graph` v2.3.7.
**Build a graph for a project:**
```bash
cd /etc/nixos
code-review-graph build # parses codebase → .code-review-graph/graph.db
```
**Key MCP tools:**
| Tool | What it does |
|------|-------------|
| `get_review_context` | Compact review context (callers, callees, tests, risks) |
| `get_impact_radius` | Blast radius — every caller/dependent/test affected by a change |
| `query_graph` | Direct graph queries (traverse call chains, dependency paths) |
| `semantic_search_nodes` | Semantic (embedding-based) code search |
| `detect_changes` | Diff analysis: what changed and what's affected |
| `traverse_graph` | Walk the graph in any direction (BFS/DFS from any node) |
| `get_architecture_overview` | High-level structure: packages, clusters, entry points |
| `get_affected_flows` | Execution paths impacted by a change |
**Complement to codebase-memory-mcp:** code-review-graph captures **what your code is** (structure, dependencies), codebase-memory-mcp captures **what agents learn** (decisions, patterns, runbooks). They solve different layers — install both.
**Installed on:** .27 (uv tool install), .51 (nix-shell -p uv → uv tool install)
**GitHub:** [tirth8205/code-review-graph](https://github.com/tirth8205/code-review-graph) (28K+ stars)
---
## Pi Dashboard
A multi-component system for live agent visibility across all machines. Built in this conversation (Jul 2026).
### Architecture
```
pi sessions (each machine)
└─ dashboard.ts extension ── writes ──► ~/.pi/agent/dashboard/<session>.json
pi-dashboard (Go TUI)
reads all state files
Enter → tmux attach d → Hunk diff
Tab → Tuxedo tasks q → quit
```
| Component | Type | Purpose |
|-----------|------|---------|
| **dashboard.ts** | pi extension (`~/.pi/agent/extensions/`) | Listens to `agent_start`/`agent_end`/`tool_call`, writes JSON state files, tracks tasks via todo.txt, sends NTFY/Apprise notifications |
| **pi-dashboard** | Go binary (`~/.local/bin/pi-dashboard`) | Bubble Tea TUI. Reads state files from all machines (local + SSH pull). Renders agent table with keyboard controls |
| **Tuxedo** | Companion TUI (Rust binary, `tuxedo`) | todo.txt task manager. The dashboard extension writes tasks to `~/.pi/agent/dashboard/tasks/todo.txt` in standard todo.txt format, Tuxedo reads it natively with vim keys, phone capture QR, project/context filters |
| **Hunk** | Companion TUI (Node CL | npx hunk) | Review-first terminal diff viewer for agent-authored changesets. Triggered from dashboard with `d` key. Supports split/stack/responsive layouts, inline AI annotations, watch mode, Git/jj/Sapling |
### dashboard.ts extension
- **Location:** `~/.pi/agent/extensions/dashboard.ts`
- **Events:** `agent_start` (status→running), `agent_end` (status→completed, send notification), `tool_call` (track last tool, count)
- **Tasks:** Registers tools `register_task`, `complete_task`, `list_tasks` — writes to todo.txt
- **Notifications:** Calls NTFY (`$PI_NTFY_TOPIC`) and Apprise on agent completion and blocked state
- **State files:** `~/.pi/agent/dashboard/<session>.json` (atomic writes)
- **Session naming:** Derives from tmux session name when in tmux, otherwise working directory basename
### pi-dashboard TUI viewer
- **Location:** `~/src/pi-dashboard/` (Go module), `~/.local/bin/pi-dashboard` (binary)
- **Built with:** Go + Bubble Tea v2
- **Reads:** Local `~/.pi/agent/dashboard/*.json` + SSH pull from remote machines
- **Config:** `~/.config/pi-dashboard.yaml`
| Key | Action |
|-----|--------|
| `↑↓` | Select agent |
| `Enter` | `tmux attach -t <session>` (local) or `ssh -t user@host tmux attach` (remote) |
| `d` | Open Hunk diff in agent's worktree |
| `Tab` | Launch Tuxedo with task todo.txt |
| `r` | Force refresh |
| `q` | Quit |
### Cross-machine config (`~/.config/pi-dashboard.yaml`)
```yaml
poll_interval: 2s
local:
path: /home/sam/.pi/agent/dashboard/
remote:
- host: 192.168.20.13
user: sam
path: /home/sam/.pi/agent/dashboard/
- host: 192.168.20.51
user: sam
path: /home/sam/.pi/agent/dashboard/
```
### Deployment
The extension deploys via Gitea (in `pi-config`) or manually placed in `~/.pi/agent/extensions/`. The Go binary is built from source and scp'd to remote machines.
### Tuxedo
- **Site:** https://github.com/webstonehq/tuxedo
- **Install:** Built from source via nix
- **Format:** Standard todo.txt — `~/.pi/agent/dashboard/tasks/todo.txt`
- **Phone capture:** Press `s` for QR code pointing at LAN PWA — type tasks from phone
- **Vim keys:** `j/k`, `dd`, `gg/G`, `u` (undo, 50 levels)
### Hunk
- **Site:** https://github.com/modem-dev/hunk
- **Install:** `npm i -g hunkdiff` (also available in nixpkgs)
- **Usage:** `hunk diff --watch` (live review), `hunk show` (review last commit)
- **Features:** Multi-file review with sidebar, inline AI annotations, split/stack/responsive layouts, watch mode for auto-reloading
---
## engram + gentle-engram
engram v1.16.1 runs on nixos-desktop (.13) at `~/.local/bin/engram`. Systemd user service auto-starts. Binds `127.0.0.1:7437`, accessed via SSH tunnel: `ssh -fNL 7437:127.0.0.1:7437 192.168.20.13`.
**gentle-engram** connects via `ENGRAM_URL=http://127.0.0.1:7437`. Replaces memory-vault. Features: session capture, compaction recovery, private block redaction.
⚠️ **The SSH tunnel must be running for engram to work.** It does not auto-start. Re-establish with: `ssh -fNL 7437:127.0.0.1:7437 192.168.20.13`
---
## MCP Servers
pi-mcp-adapter connects Pi to external services via the Model Context Protocol.
**Config files:** `~/.pi/agent/mcp.json` (pi global), `~/.config/mcp/mcp.json` (shared), `.mcp.json` (project)
```json
// ~/.pi/agent/mcp.json — pi MCP servers
{
"mcpServers": {
"codebase-memory": {
"command": "/home/sam/.local/bin/codebase-memory-mcp",
"lifecycle": "lazy"
},
"code-review-graph": {
"command": "/home/sam/.local/bin/code-review-graph",
"args": ["serve"],
"lifecycle": "lazy"
}
}
}
```
Shared config at `~/.config/mcp/mcp.json`:
```json
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/sam"]
}
}
}
```
**Find MCP servers at:**
- [github.com/modelcontextprotocol/servers](https://github.com/modelcontextprotocol/servers)
- [smithery.ai](https://smithery.ai) — community registry
**Usage:**
- `/mcp` — interactive panel to manage servers
- `mcp({ search: "..." })` — search available tools
- `mcp({ tool: "tool_name", args: '{}' })` — call a tool
- Servers are lazy (connect on first use, disconnect after 10 min idle)
---
## Configuration Files
### Global (`~/.pi/agent/settings.json`)
- Nix store symlink — managed via `/etc/nixos/home/sam/home.nix`
- Contains: providers (opencode-go, openrouter, google), packages (pi-memctx, pi-prompt-template-model, Gitea)
- **Read-only** — cannot be modified by `pi install` or `/config-add`
### Project (`<project-dir>/.pi/settings.json`)
- Overrides global settings (arrays replace, not merge)
- Contains: `~/.agents` package (extensions + skills), Gitea package (tavily-search)
- Modified via `/config-add` / `/config-remove` commands
### Per-folder Memory (via pi-memctx)
- Memory stored in `<chat-folder>/.pi/memory-vault/packs/`
- Workspace map at `~/.pi/agent/memory-vault/00-system/workspace-map.json`
- Each chat folder has isolated memory (prevents sibling directory contamination)
### models.json (Provider Routing)
Path: `~/.pi/agent/models.json` (symlinked from `~/.agents/models.json` for Gitea). Injects OpenRouter provider routing for KV cache sharing. DeepSeek cache discount: 91.7% ($0.145/M vs $1.74/M input). Configured: deepseek, qwen, minimax, moonshotai. Mechanism: pi-core reads `model.compat.openRouterRouting` → injects `provider: { order: [...] }`.
### subagents.json
Path: `~/.pi/agent/subagents.json`. Configuration for pi-subagents agent types, default models, and providers.
---
## Useful Commands
| Command | What it does |
|---|---|
| `/config-setup` | One-shot: creates `.pi/`, `settings.json`, memory vault in current folder |
| `/config-add ext <name>` | Activate an extension from `~/.agents` |
| `/config-add skill <name>` | Activate a skill from `~/.agents` |
| `/config-show` | Show active extensions and skills |
| `/agents` | Interactive agent management (pi-subagents) |
| `/tasks` | Interactive task management (pi-tasks) |
| `/memctx-init` | Scan folder, build initial memory pack |
| `/memctx-status` | Show memory status |
| `/memctx-refresh` | Re-scan and enrich memory |
| `/filechanges` | Review changed files, diffs, accept/decline |
| `/filechanges-accept` | Accept all changes |
| `/filechanges-decline` | Revert all changes |
| `markitdown <file>` | Convert file to Markdown (PDF, Word, Excel, PPTX, images, HTML, etc.) |
| `markitdown-vision <file>` | Describe image using Qwen 2.5 VL 72B via OpenRouter |
| `Agent()` | Spawn subagent (pi-subagents) |
| `get_subagent_result()` | Retrieve results from background agent |
| `steer_subagent()` | Send mid-run steering message |
| `compress_for_agent()` | Compress large content via Headroom |
## Agent Roster (18)
| Agent | Model | Provider |
|-------|-------|----------|
| chat-search | google/gemini-2.5-flash:free | openrouter |
| code-analysis | deepseek-r1-distill-qwen-32b | opencode-go |
| code-ingest | google/gemini-2.5-flash:free | openrouter |
| coder-basic | deepseek/deepseek-chat | openrouter |
| coder-pro | deepseek/deepseek-v4-pro | openrouter |
| database | deepseek-r1-distill-qwen-32b | opencode-go |
| devops-basic | deepseek/deepseek-chat | openrouter |
| devops-pro | deepseek/deepseek-v4-pro | openrouter |
| document-writer | deepseek-r1-distill-qwen-32b | opencode-go |
| file-ops | qwen-coder-32b-instruct | opencode-go |
| home-automation | deepseek-r1-distill-qwen-32b | opencode-go |
| image-maker | black-forest-labs/flux-1-schnell | openrouter |
| iot-coder | qwen-coder-32b-instruct | opencode-go |
| iot-hardware | moonshotai/kimi-k2.6 | openrouter |
| obsidian | deepseek-r1-distill-qwen-14b | opencode-go |
| research | google/gemini-2.5-flash:free | openrouter |
| video-analyze | qwen/qwen-2.5-vl | openrouter |
| vscode-setup | qwen/qwen-3-coder-next | openrouter |
## Function Calls
```
Agent({ subagent_type, prompt, description, model?, thinking?, max_turns?, run_in_background?, resume?, isolated?, isolation?, inherit_context? })
get_subagent_result({ agent_id, wait?, verbose? })
steer_subagent({ agent_id, message })
compress_for_agent({ content })
```
---
## Skipped / Bookmarked
| Extension/Skill | Reason |
|---|---|
| **web-search** (amosblomqvist) | ❌ Redundant — Tavily does this |
| **subagents** (amosblomqvist) | ❌ Redundant — pi-subagents already installed |
| **bash-guard** (amosblomqvist) | ❌ Too aggressive — would interrupt flow |
| **google-image-search** (amosblomqvist) | ❌ Would need Google Search API + CSE setup |
| **pdf-reader** (amosblomqvist) | ⏳ Bookmarked — Python + pymupdf setup needed |
| **notify** (mitsuhiko) | ⏳ Minor QoL — desktop notifications on task complete |
| **audio/voice** | ⏳ Not practical | Pi TUI has no mic access or audio playback — fundamental platform limitation |
---
## Tasks
- [x] Rebuild NixOS to activate new packages ✅ 2026-06-11
- [x] Migrate to @tintinweb/pi-subagents with 18 agent types ✅ 2026-06-14
- [x] Deploy models.json with OpenRouter provider pinning (only: provider) ✅ 2026-06-14
- [x] Deploy engram + gentle-engram memory service on .13 ✅ 2026-06-13
- [x] Install pi-tasks (@tintinweb/pi-tasks) v0.7.0 ✅ 2026-06-13
- [x] Patch pi-subagents: 24h cleanup, disable clearCompleted ✅ 2026-06-14
- [x] Add memory: project to all 18 agent frontmats ✅ 2026-06-14
- [x] Remove custom subagent-registry skill (built-in /agents menu is sufficient) ✅ 2026-06-14
- [x] Update Pi Subagent.md and Pi Agent Extensions & Skills.md documentation ✅ 2026-06-14
- [x] Update pi-subagents to v0.10.3 ✅ 2026-06-14
- [x] Update pi-tasks to v0.7.0 ✅ 2026-06-13
- [ ] Verify video-extract works with Gemini
- [ ] Clean up workspace-map.json entries for any stale memory packs