Pad

Project Management for the agent era.

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One binary. Local-first. No accounts required. Pad gives you a CLI, a web UI, and an AI agent skill — all backed by SQLite, all running on your machine. Your project data stays on your laptop — unless you take it to Pad Cloud.

Quick Start

brew install PerpetualSoftware/tap/pad
cd your-project
pad init                    # configure, auth, workspace, AI skill — all in one
pad server open             # opens the web UI at localhost:7777

pad init is the smart entry point — it auto-detects what's needed, walks you through each step, and is safe to re-run anytime (it skips finished steps and prints a status summary).

Then, in a fresh agent session in your project, say:

/pad onboard

Your new workspace ships with the canonical onboard playbook auto-activated. The agent walks an interview, inspects your codebase if it has shell access, and adapts your workspace's collections, conventions, roles, and playbooks to match the project. It's the fastest way to go from empty workspace to "okay, this is mine."

Why Pad?

Tools like Linear, Jira, and Notion are built for teams on the cloud. Pad is built for developers on their machine — and for the AI agents working alongside them. When you do want your projects on every device or a teammate on the board, Pad Cloud hosts the same product with sync, workspace invites, and role-based access.

Features

For Developers

CLI that doesn't get in your way. Create tasks, search items, check status — without leaving the terminal.

pad item create task "Fix OAuth redirect" --priority high
pad item create idea "Real-time collaboration" --category infrastructure
pad item list tasks --status in-progress
pad item search "authentication"
pad project dashboard                   # Project dashboard
pad project next                        # What should I work on?
pad server info                         # How this client is connected to Pad

Web UI that stays out of your way. A clean, dark-themed interface at localhost:7777 with:

• Board, list, and table views — drag-and-drop between status columns
• Keyboard navigation — j/k to move, Enter to open, Esc to go back, Cmd+K to search
• Rich text editor — Tiptap-based with markdown, formatting toolbar, and auto-save
• Wiki-links — type [[Title]] to link between items
• Real-time updates — agent creates a task in the terminal, it appears in the browser instantly (via SSE)
• Dashboard — collection overview, active work, plan tracking, activity feed

For AI Agents

Your agent becomes a project partner. Install the /pad skill once, and your AI coding tool can read, create, and update project items through natural language.

pad agent install        # Auto-detects your tools and installs the skill

Works with Claude Code, Cursor, Windsurf, Codex, OpenCode, GitHub Copilot, Amazon Q, and JetBrains Junie.

Then just talk to your project:

> /pad what should I work on next?
> /pad I finished the OAuth fix
> /pad create a task to add rate limiting
> /pad let's brainstorm about the API redesign

Conventions and playbooks teach agents how your project works:

• Conventions — trigger-based rules like "run tests before marking a task done" or "use conventional commits"
• Playbooks — multi-step workflows like "when implementing a feature: read the spec, create a branch, write tests first, then implement". Playbooks can declare a kebab-case invocation_slug so users can invoke them directly: /pad ship PLAN-42, /pad release 0.5.0. Fresh startup workspaces ship a generic ship playbook out of the box.

pad item create convention "Run tests before completing tasks" \
  --field trigger=on-task-complete \
  --field scope=all \
  --field priority=must

Agents load relevant conventions automatically, and every agent action is attributed in the activity feed — so you can see what the AI changed rather than finding it later in a diff.

Name your agents:

An agent that identifies itself gets its name shown on its writes — in the activity feed's Live and Audit views, on the dashboard's recent activity, on item timeline activity entries, and in the admin console's audit log and per-user activity views. With more than one agent working a project, that is the difference between "something automated touched this" and knowing which one.

Pad takes the first of these it finds:

# 1. Per-workspace, committed with the project — the deliberate choice.
#    In .pad.toml:
#      agent_name = "reviewer"

# 2. Per-process, runtime-agnostic. Any harness can set it.
export PAD_AGENT=reviewer

# 3. Otherwise Pad detects the runtimes it knows — Claude Code reports
#    "claude-code" — and that detected id is used as the name.

If none of the three produce a name, the write is not marked as an agent's at all — it is recorded as the person whose credentials it used, which is the case the caveat below is about. The generic agent label you may see on older entries is a write that identified itself before Pad stored names, or an event type that records the actor without the name (workspace membership changes, sign-ins).

The name is rendered exactly as sent — Pad keeps no list of approved names, and does not re-case or rewrite what you choose.

Sessions carry the name too, locally. A session with the Claude Code plugin records itself in ~/.pad/sessions on start (best effort — the plugin monitor is silent by contract, so a registration that fails, e.g. on a malformed pid variable, is only visible by running pad session register by hand) — the harness session's pid, the agent name above, and its working directory — and pad session list reads that back with a liveness verdict per row (alive, dead, or unknown where the platform cannot probe). It is a local, deterministic answer to "which of my sessions on this machine are running, and as which agent" — no server round-trip, no guessing from process names. What a row says about who is self-declared, like the name itself; on Linux the pid claim is additionally checked against the registering process's ancestry and reported as session_pid_verified. Any other harness gets the same by calling pad session register from its session-start hook with PAD_SESSION_PID (the session process) and PAD_AGENT exported. Records of sessions the register can see are dead are pruned on every register; pad session prune --older-than 72h also clears ones whose liveness cannot be determined. The record never leaves the machine.

Reading the output as a decision — "is this name in use here right now?" — takes a rule, and pad session list --help spells it out: count only rows that are alive, not legacy/malformed, and session_pid_verified; treat unknown, legacy, or malformed rows in the same directory as indeterminate rather than free (so list without --agent and filter yourself); read an empty result as "no registered row", not "nobody" — a harness that never registers is invisible; and never pick between two alive rows by registered_at, which is each session's own clock. The registry is per OS user.

Not every entry can show it. Activity entries store it, and comments (replies included) read it through the activity each one links to — so a comment written by an agent that sent a name shows that name in its chip, next to the person whose credentials it used. Version snapshots and implementation-note/decision entries record only that an agent acted, because nothing links them to a named row — they still read Agent.

What this does not claim. The name is supplied by the client and self-declared, so it records honesty, not identity. From ResolveAgentName's own contract in internal/cli/agent_identity.go:

• an agent that omits it is indistinguishable from the human whose credentials it is using;
• a human running ! pad ... inside an agent's terminal inherits that terminal's environment and will be attributed to the agent.

So it is not a basis for machine-verifiable provenance: treat it as a label an actor chose, useful for reading a trail, not as evidence about who acted. Because the credentials belong to a person either way, surfaces that exist for provenance show both — the admin audit log renders reviewer (via Dana) rather than picking one.

Since the name is chosen by whoever is writing, it is displayed as an isolated unit: it is shown as sent, but it cannot re-order or restyle the text around it, and the account half of name (via account) is rendered separately so a chosen name cannot forge it.

Onboard agents to a new codebase:

Open an agent session in the workspace directory and run /pad onboard. The agent walks an interview, detects your build/test/CI tooling, and adapts your workspace's collections, conventions, roles, and playbooks to match the project. Works for any agent that speaks Pad — Claude Code, MCP-only agents, etc.

Collections & Custom Fields

Pad organizes work into collections — typed containers with structured fields.

Built-in collections:

Create your own with typed fields — select, text, date, number, url, relation, checkbox:

pad collection create "Bug Reports" \
  --fields "severity:select:low,medium,high,critical; browser:text; reproducible:checkbox"

Items get reference numbers automatically (TASK-5, BUG-12) and can be moved between collections with field migration.

Installation

Homebrew (macOS and Linux)

brew install PerpetualSoftware/tap/pad

Build from Source

git clone https://github.com/PerpetualSoftware/pad
cd pad
make build
cp pad ~/.local/bin/   # or /usr/local/bin/

Requires Go 1.26+ and Node.js 22+. Alternatively, nix develop provides a shell with the exact Go and Node versions pinned — see the Nix section below.

The go install github.com/PerpetualSoftware/pad/cmd/pad@latest path is not supported for the full Pad binary, because the web UI must be built and embedded during the source build.

Docker

docker run -p 127.0.0.1:7777:7777 -v pad-data:/data ghcr.io/perpetualsoftware/pad

This publishes Pad to localhost:7777 on the host machine, which is the recommended default for local use.

First run — create the first admin. Open http://localhost:7777 and you'll hit a setup page asking for a bootstrap token. On first start with no users, Pad logs a one-time setup URL to stderr (captured by docker logs) — grep it and open the printed link:

docker logs <container> 2>&1 | grep -A6 'Pad first-run setup'
# → http://<your-host>:7777/setup#token=<one-time-token>

Open that URL, create your admin account, and the token is consumed (the banner stops appearing). If you'd rather stay on the CLI, docker exec -it <container> pad auth setup works too — runni