A moldable canvas for agent-assisted thinking. An infinite 2D surface where files, plans, status, charts, fetched web pages, annotations, code diffs, and diagrams live side by side. Every node carries its own renderer; agents (and you) build new views in the middle of a session — even streaming a structured panel into place as they generate it — not as a separate tooling project. Pin what matters and the agent reads your spatial curation as structured context.
PMX Canvas is a collaborative spatial workspace that humans and agents share
in real time. Either side adds material; the human curates spatial structure
(grouping, positioning, pinning); the agent reads that curation through
canvas://pinned-context and acts on it. Spatial arrangement is
communication — proximity means relatedness, pinning means focus here.
Drag, group, arrange, and pin nodes spatially. Curation is the channel
from human intent to agent context — the agent reads canvas://pinned-context
and canvas://spatial-context (proximity clusters, reading order, pinned
neighborhoods) and uses your layout to ground its next action.
Files, web pages, screenshots, structured panels, charts, diagrams, embedded MCP Apps, and bundled web artifacts all live on the same surface. A file node follows the file on disk as the agent edits it — source with line numbers, a CSV or TSV as a real table, a PDF inline. Anything else binary shows its name and size rather than decoded gibberish, and a very large text file renders truncated with a note saying so. Code review has its own node: a unified diff with per-file headers and colored added and removed lines. Diagrams can be drawn by hand in Excalidraw or written as plain mermaid text and rendered on the spot. Context cards, execution ledgers, and agent trace pills round out the set. Any rich surface — HTML, mermaid, json-render, graph, webpage, or a web artifact — can be opened as a site, full-page in its own browser tab with one click; the canvas and the tab render the same document. The reach of the canvas is the union of its built-in node types and whatever your agent's harness already has access to — MCP servers, CLIs, file reads, web fetch, anything on its toolbelt.
Draw freehand marks directly on the canvas to circle, underline, connect, or call out what matters without turning the markup into another node. Annotations persist with state and snapshots, can be erased in the browser, and appear to agents as compact spatial context: target, bounds, and nearby canvas content.
Steer the agent and see its work, without prompt engineering or copy-paste.
Pin a node in the browser and the MCP server fires a
notifications/resources/updated event the agent's harness picks up
immediately — an explicit, low-noise control over what the agent sees next.
On top of pins, a host-agnostic AX (agent-experience) layer turns the canvas into a shared workspace between you and the agent:
- Agent-native nodes — most node types can act as interactive controls for the agent out of the box: a node can focus context, create or update work, add evidence, request input or approval, or send steering without leaving the board. The sandboxed surfaces — HTML nodes and MCP apps — stay off until a node opts in, since their content is author-supplied.
- Focus — promote nodes into the agent's active context without moving the viewport.
- Work items & approval gates — track visible tasks tied to nodes, and gate
high-impact actions behind a human
pending → approved/rejecteddecision. A linked node shows its work item's status on the title bar, and a live work board lays the whole queue out by status and keeps itself current — useful when several agents are working at once. - Steering messages & agent-event timeline — send instructions to the active session, and read a normalized, bounded timeline of prompts, tool runs, evidence (logs/diffs/screenshots/test-output), and failures.
- Node interactions — eligible nodes emit one capability-gated, validated
interaction envelope from native controls, the sandboxed HTML / MCP-app
bridges (
window.PMX_AX.emit), or json-render spec actions. The server is the single trust boundary and clamps sandboxed surfaces to their own node. - Elicitations, mode requests, commands & policy — request structured human
input, propose a plan/execute/autonomous mode transition, invoke registry
commands (
pmx.plan,pmx.review, …), and read a tool/prompt policy. - Host capability — adapters report what the host can do, for diagnostics.
Recent additions in this layer: agent-native nodes can now complete the full AX loop; agent tool/session activity can flow back into the board as work, evidence, and findings; approval, input, and mode gates can wait for a human decision instead of polling; and AX-enabled HTML/web-artifact or MCP app controls can show an in-surface confirmation after an action is accepted.
Canvas-bound state (focus, work items, approvals, review annotations,
elicitations, mode requests, policy) rides canvas snapshots and restore; the
timeline persists for continuity but is retention-bounded and never restored by a
snapshot. Every primitive is reachable from MCP, the HTTP API, the SDK, and
pmx-canvas ax …. The core never depends on any host SDK, so adapters (e.g. the
GitHub Copilot app) map onto the same neutral surfaces without making PMX Canvas
vendor-specific.
Spatial state auto-saves to .pmx-canvas/canvas.db (debounced ~500 ms) —
git-committable, shareable across machines, and survives both browser
refresh and server restart. Named snapshots, full
undo/redo, and an auto-detected code graph (JS/TS, Python, Go, Rust) make
the canvas durable rather than throwaway. Stop the server before committing
the DB so SQLite WAL data is checkpointed into the file.
Harness-agnostic. Drive the canvas from MCP (22 tools, 14 resources, change notifications), the CLI, the HTTP API, or the Bun SDK — all environment variables documented here. Works with Claude Code, the GitHub Copilot app and CLI, Codex, Amp, Cursor, Windsurf, or any agent that can spawn an MCP stdio server, call a CLI, or hit an HTTP endpoint.
PMX Canvas doesn't just run in a browser tab — it embeds natively inside the agent apps you already use, as a thin adapter layer over the same neutral AX surfaces (the core never imports a host SDK).
PMX Canvas as a native canvas panel in the GitHub Copilot app.
The live PMX workbench in the Codex in-app Browser.
Claude Code desktop: the workbench in the built-in browser pane, mutated live over MCP.
AMPCode: the canvas as an orb service through the Amp portal (Volt theme).
- GitHub Copilot app — a committed project canvas extension
(
.github/extensions/pmx-canvas/) opens the live PMX workbench in a native Copilot panel (light-themed by default to match the app, via the?theme=session override), injects pinned/focused AX context on prompt submission, and exposes actions for focus, session steering, work items, approval gates, review annotations, the AX timeline, and host-capability reporting. Install it into any repo withpmx-canvas copilot install-extension(--dry-runto preview). - Codex app — native through the Codex in-app Browser (opened to
/workbench) plus the PMX MCP server: agents readcanvas://ax-context/canvas_ax_state { action: "get" }and label Codex-originated focus withsource: "codex". No extension API needed — Codex's two native surfaces (MCP + in-app Browser) are exactly what the canvas requires. - Claude Code desktop app — the workbench runs in the desktop app's
built-in browser pane alongside the PMX MCP server, same zero-adapter recipe
as Codex: open
http://localhost:4313/workbench?theme=light(or?theme=autoto follow the app's appearance) in the app's browser and the live board, pins, and Ghost Cursor all work in-panel — themed to match the pane without changing what other clients see. - AMPCode orbs + portal — run the canvas as an orb service and view the
live workbench through the Amp portal (the
*.onamp.devURL ampcode.com embeds for the thread). Zero configuration: orbs setAMP_ORBin the service environment, and the canvas auto-adapts to the portal's constraints — it defaults straight to the proxy-safe polling transport (the portal proxy buffers the live event stream), and renders HTML, graph, json-render, and app surfaces inline viasrcdocbecause the nested-iframe embed blockssrc-URL child iframes (?transport=sseand?iframe-mode=srcoverride either behavior when diagnosing). Non-orb buffering proxies get the same protections via runtime detection: an SSE watchdog that falls back to polling, and the boot-time iframe probe.
Any other app browser (the ChatGPT desktop app, an IDE webview, …) works the
same zero-adapter way: open the workbench URL, and add ?theme=<name|auto> to
give that panel its own session-local default theme.
The contract is host-agnostic, so a new host plugs in the same way: map its hooks, canvas, and session APIs onto PMX's AX primitives — no core changes.
- Bun >= 1.3.14
The published SDK entrypoint is Bun-first. Node.js consumers should use the CLI, MCP server, or HTTP API.
bunx pmx-canvas # Run without installing (recommended for one-off use)
bun add -g pmx-canvas # Install globally — exposes the `pmx-canvas` command
bun add pmx-canvas # Install into a project (needed for the Bun SDK)
npm install -g pmx-canvas # npm works too — still requires Bun on PATH to runpmx-canvas is Bun-first: the CLI is a TypeScript file with a #!/usr/bin/env bun
shebang, so Bun must be installed even when you fetch the package via npm or pnpm.
To work on the canvas itself, clone the repo — see Development.
bunx pmx-canvas # Start canvas, open browser
bunx pmx-canvas --demo # Start with the showcase demo board
bunx pmx-canvas --no-open # Headless (good for daemons / CI)
bunx pmx-canvas --theme=volt # Pick a theme (nine ship; PMX_CANVAS_THEME works too)
bunx pmx-canvas --mcp # Run as MCP server (stdio)
bunx pmx-canvas --help # All commandsThemes are a toolbar picker away too, and any one panel can override the
shared theme for itself with ?theme=<name|auto>.
The canvas opens at http://localhost:4313. Try --demo first — it seeds a
showcase board with every node type on it: notes and status, files, a diff, a
CSV table, charts of every kind, mermaid diagrams, the HTML primitives,
structured panels, a grouped cluster, labeled edges, and context pins.
Add to your agent's MCP config:
{
"mcpServers": {
"canvas": {
"command": "bunx",
"args": ["pmx-canvas", "--mcp"]
}
}
}The canvas auto-starts on first tool call. Keep the config portable: commit it
to the repo and let the workspace default to the launch directory — hard-coding
an absolute PMX_CANVAS_WORKSPACE_ROOT breaks other checkouts and machines.
Set that env var only when your host spawns the MCP server from an incidental
directory (e.g. ~/.copilot) instead of the project root.
Verify any environment in one command against a running server:
bunx pmx-canvas smokeIt checks server health + workspace, CLI/server version skew, the MCP stdio initialize handshake, a temp-node create/search/remove round-trip, and board validation — JSON report, exit 1 on failure.
This repository includes a project canvas extension:
.github/extensions/pmx-canvas/extension.mjs
When loaded by the Copilot app, it opens the PMX workbench natively, starts a
matching local PMX server when needed, and injects AX pinned/focused context
as hidden per-turn context. The adapter is thin: PMX state still lives in
.pmx-canvas/canvas.db, and the same HTTP, MCP, CLI, and SDK surfaces remain
available to non-GitHub agents. See
github-copilot-app-adapter.md
for the full setup and live-test checklist.
Codex needs no extension — its two native surfaces are exactly what the canvas
requires. Add the PMX MCP server to the Codex workspace config (same snippet as
Connect your agent), then open the returned
/workbench URL in the Codex in-app Browser so you can see mutations live.
Agents read pinned/focused context from canvas://ax-context /
canvas_ax_state { action: "get" } and label Codex-originated focus with
source: "codex". See
codex-app-adapter.md for
the full workflow and live-test checklist.
Amp needs no adapter either. Run pmx-canvas as an orb service (the orb sets
AMP_ORB in the environment automatically) and open the workbench through the
thread's portal URL. The zero-config recipe for the repo the orb runs in:
# .amp/services.yaml — supervised portal service
services:
pmx-canvas:
command: pmx-canvas --no-open
portal: true
health: /health# .agents/setup — install the CLI (pin the exact version: a fresh orb running
# @latest can silently pick up a newer release than the one you validated)
npm install -g pmx-canvas@0.4.8The server binds the portal-assigned $PORT automatically (gated on the
AMP_ORB env the orb always sets, so a stray PORT elsewhere never changes
the default), restores .pmx-canvas/canvas.db, and the portal manifest picks
it up — no port flags or $PORT interpolation in the service command. One
caveat: WebView automation (pmx-canvas screenshot) needs Bun >= 1.3.12 in
the orb image; the canvas itself runs fine without it and says so in the
error. The canvas detects the orb and the portal's nested-iframe
embed on its own: live updates arrive over the proxy-safe polling transport,
and iframe-backed nodes (HTML, mermaid, graph, json-render, web artifacts)
render inline via srcdoc with their theme styling included. Two things can't
be inlined and stay blocked by the portal embed: cross-origin hosted apps (e.g.
the hosted Excalidraw MCP app), and PDF file nodes — a PDF node offers an
"Open PDF" link there instead of a preview.
Debug overrides: /workbench?transport=poll|sse and
?iframe-mode=srcdoc|src. Once the service is up, pmx-canvas smoke verifies
the whole stack (health, versions, MCP handshake, node lifecycle, validation)
in one command.
The fastest way to get a working canvas is to install the pmx-canvas agent
skill. It teaches the agent how to install the package, start the server, and
drive every node type, group, snapshot, and search the canvas exposes.
# 1. GitHub CLI extension (gh >= 2.90)
gh skill install pskoett/pmx-canvas pmx-canvas
# 2. Agent Skills CLI (runtime-agnostic)
npx skills add pskoett/pmx-canvas/skills/pmx-canvas
# 3. Manual clone + copy
git clone https://github.com/pskoett/pmx-canvas.git
cp -r pmx-canvas/skills/pmx-canvas <your-agent-skills-dir>Common harness skill directories: .claude/skills/ (Claude Code),
.github/skills/ or .copilot/skills/ (Copilot CLI),
.agents/skills/ (cross-harness convention). Once the canvas is running,
the agent can read canvas://skills and pull in companion skills
(pmx-canvas-orchestration for running several agents on one board,
control-session-orchestrator, web-artifacts-builder, json-render-*,
pmx-canvas-testing, playwright-cli, etc.) as the work demands.
- Node types — every node type, edge types, and the three-tier visual matrix (json-render → html → web-artifact)
- CLI reference — full command surface, daemon mode, watch streams, WebView automation
- MCP reference — 22 tools, 14 resources, change notifications, node-type routing
- HTTP API — REST endpoints, SSE, batch operations
- AX host-adapter contract — how native host adapters connect context, steering, activity, and human gates
- Bun SDK —
createCanvas()for TypeScript on Bun - Release process — maintainer-only
- Single-machine, today. One canvas per
bunx pmx-canvasinstance, on one machine. No built-in multi-user auth or presence — collaboration means human ↔ agent on the same machine, plus any other browser tab/agent pointed at the samelocalhost:4313. To share across machines, commit.pmx-canvas/canvas.db. - What leaves your machine. The core canvas runs entirely on
localhost. Network egress only happens for explicit, opt-in flows:webpagenodes and remote-URLimagenodes fetch the address you give them;mcp-app/canvas_app { action: "diagram" }calls go to whatever MCP server URL you configure (the Excalidraw preset useshttps://mcp.excalidraw.com/mcp); building a web artifact runs a package manager, which fetches a React/Tailwind toolchain plus that artifact's declared dependencies (and, if neither pnpm nor bun is present, installs pnpm globally) from the npm registry; andbunxitself reads the registry on first install. Nothing else phones home.
- Runtime: Bun
- UI: Preact + @preact/signals; the json-render/graph viewer bundle is React + recharts, and mermaid nodes render with mermaid
- Styling: CSS custom properties + Tailwind (json-render bundle only)
- Server: Bun.serve (HTTP + SSE)
- MCP: @modelcontextprotocol/sdk (stdio)
git clone https://github.com/pskoett/pmx-canvas.git
cd pmx-canvas
bun install
bun run build
bun run dev # Start + open browser
bun run dev:demo # Start with the showcase demo board
bun run test # Unit tests
bun run test:e2e # Playwright end-to-end tests
bun run test:all # Unit tests + browser smokeFor developer flows on the pmx-canvas repo itself (release process,
contribution gates, agent-skill mirroring) see
AGENTS.md and docs/RELEASE.md.
Contributions welcome. Please open an issue first to discuss what you'd like to change.
- Fork the repo
- Create a feature branch (
git checkout -b feature/my-change) - Run
bun run test:allbefore submitting - Open a pull request







