* fix(store): restore documents_fts triggers + rebuild index (BUG-822)
Some production DBs ended up missing the documents_ai/au/ad triggers,
even though migration 025 (which rebuilt the documents table for the
doc_type CHECK constraint change) was recorded as applied. Items_fts
and comments_fts triggers were unaffected — issue is isolated to the
documents table-rebuild path.
Without these triggers, INSERT INTO documents never propagates rows
into documents_fts, so newly-created documents are silently invisible
to search. Plain list views still surface them, masking the regression.
Migration 046 is idempotent and safe to apply on any DB:
1. DROP TRIGGER IF EXISTS for the three documents_* triggers — round-
trips for DBs that ran 025 cleanly, recovers DBs missing the
triggers.
2. CREATE TRIGGER for all three (matching the bodies in 001/025).
3. INSERT INTO documents_fts(documents_fts) VALUES ('rebuild') to
repopulate the FTS5 internal index from the current documents
table — recovers searchability for documents created while the
triggers were missing.
Postgres path uses a separate tsvector trigger function and is not
affected (only pgmigrations are applied there; this migration lives
in the SQLite migrations directory).
Tests:
- TestMigration046_DocumentsFTSTriggersExist — assert all three
documents_* triggers exist after migrations run.
- TestCreateDocument_IsSearchableImmediately — regression test for
the failure mode: create a doc, immediately search by a unique
title-keyword, assert it's findable.
Manual verification on the production DB:
- Triggers re-appeared after `make install` (migration 046 applied).
- POST /documents with title "BUG822verify distinctive" → immediately
findable via ?q=BUG822verify (returned 1 result, the new doc).
* test(store): pin the BUG-822 recovery path with a rebuild test
Codex review on the BUG-822 fix flagged that neither existing test would
fail if the `INSERT INTO documents_fts(documents_fts) VALUES('rebuild')`
step were removed from migration 046. The trigger-existence and
post-fix-search-works tests both pass on a clean migration run, but
they don't exercise the historical-recovery half of the migration —
the part that rescues already-broken DBs whose documents were inserted
while the triggers were missing.
Add TestMigration046_RebuildRecoversUnindexedDocs which:
1. Drops the documents_* triggers to simulate the broken state.
2. Inserts a document via the store path — won't reach FTS without
triggers.
3. Asserts the doc is invisible to ListDocuments (sanity-pinning the
broken state).
4. Runs just the rebuild step from migration 046.
5. Asserts the previously-unindexed doc is now searchable.
This locks in the recovery contract: removing the rebuild step from
046 will now make this test fail.
Pad
Project management for developers and AI agents.
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 never leaves your laptop.
Quick Start
brew install xarmian/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).
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.
| Pad | Linear / Jira | Notion | |
|---|---|---|---|
| Setup | pad init |
Create account, invite team, configure | Create account, pick template |
| AI agents | Native /pad skill for 7+ tools |
Third-party integrations | Third-party integrations |
| Data | Local SQLite, you own it | Their cloud | Their cloud |
| Offline | Full functionality | Read-only cache at best | Limited |
| CLI | First-class | Afterthought | None |
| Price | Free, open source | Per-seat pricing | Per-seat pricing |
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/kto move,Enterto open,Escto go back,Cmd+Kto 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, 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"
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. All agent actions are attributed in the activity feed, so you always know what the AI changed.
Onboard agents to a new codebase:
pad workspace onboard # Analyzes project structure, saves workspace context, and suggests conventions
Collections & Custom Fields
Pad organizes work into collections — typed containers with structured fields.
Built-in collections:
| Collection | Purpose |
|---|---|
| Tasks | Work items with status, priority, assignee, effort, due date |
| Ideas | Feature ideas with impact and category |
| Plans | Project milestones with progress tracking |
| Docs | Documentation, decisions, reference material |
| Conventions | Project rules that guide agent behavior |
| Playbooks | Multi-step workflows for agents to follow |
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 xarmian/tap/pad
Build from Source
git clone https://github.com/xarmian/pad
cd pad
make build
cp pad ~/.local/bin/ # or /usr/local/bin/
Requires Go 1.26+ and Node.js 22+.
The go install github.com/xarmian/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/xarmian/pad
This publishes Pad to localhost:7777 on the host machine, which is the recommended default for local use.
Single user, more than one device? Publish to all interfaces so you can reach Pad from your phone, tablet, or another machine on the same LAN, Tailscale network, or home VPN:
docker run -p 7777:7777 -v pad-data:/data ghcr.io/xarmian/pad
For multi-instance deployments, Pad supports Postgres + Redis via docker-compose.yml — see docs/deployment.md for the full setup.
Binary Download
Pre-built binaries for macOS, Linux, and Windows are available on the releases page.
Getting Started
1. Set up Pad
cd ~/projects/myapp
pad init "My App"
pad init is the smart entry point that handles everything in one command:
- Configures this client's connection (local server, remote, or Docker)
- Auto-starts the local server
- Creates the first admin account on a fresh local install (Docker / remote hosts run
pad auth setupon the server instead) - Logs you in if needed
- Creates or links a workspace for the current directory (writes
.pad.toml) - Installs the
/padskill for any AI tools detected in the project
Run from your project root. Safe to re-run anytime — it skips finished steps and prints a status summary if nothing's needed.
Choose a template with --template, or omit it for an interactive picker grouped by category (Software / People / …):
pad workspace init --list-templates # See the full catalog grouped by category
pad init "My App" --template scrum # Scrum-style with sprints
pad init "My App" --template product # Product management focused
pad init "My Hiring" --template hiring # Company-side: requisitions, candidates, interview loops, feedback
pad init "Job Search" --template interviewing # Candidate-side: applications, interviews, companies, contacts
Pad ships templates for software (startup / scrum / product), people workflows (hiring, interviewing), and has reserved categories for research, content, operations, and personal use so the same project-management primitives fit well beyond code projects.
2. Start working
# From the CLI
pad item create task "Set up CI pipeline" --priority high
pad item create idea "Add WebSocket support" --category infrastructure
pad project dashboard
# From the web UI
pad server open # Opens localhost:7777 in your browser
# From your AI agent
# Just use /pad in Claude Code, Cursor, etc.
3. Teach your agents the rules
pad workspace onboard # Auto-analyze project, save workspace context, and suggest conventions
# Or browse the convention library
pad library list --type conventions # Pre-built conventions you can adopt
pad library list --type playbooks # Pre-built multi-step workflows
CLI Reference
pad auth configure Configure how this client connects to Pad
pad auth setup Initialize the first admin account
pad auth login Sign in
pad auth whoami Show current user
pad server start Start the Pad API server
pad server stop Stop the Pad server
pad server info Show client, connection, and local server status
pad server open Open web UI in browser
pad workspace init [name] Initialize workspace in current directory
pad workspace link <workspace> Link current directory to an existing workspace
pad workspace list List all workspaces
pad workspace switch <workspace> Switch active workspace
pad workspace context Show structured workspace context
pad workspace context set --file X Update structured workspace context from JSON
pad workspace onboard Analyze project, save workspace context, and suggest conventions
pad workspace members List workspace members
pad workspace invite <email> Invite a workspace member
pad workspace join <code> Accept an invitation
pad workspace export Export workspace data
pad workspace import <file> Import workspace data
pad project dashboard Project dashboard
pad project next Recommended next task
pad project ready Query actionable next items
pad project stale Query stalled or attention-worthy items
pad project standup [--days N] Daily standup report
pad project changelog [--days N] Release notes from completed items
pad project watch Real-time activity stream
pad project reconcile Reconcile item and PR state
pad item create <coll> "title" Create item (task, idea, plan, doc, ...)
pad item list [collection] List items (filters: --status, --priority, --all)
pad item show <ref> Show item detail
pad item update <ref> Update item fields
pad item delete <ref> Delete item
pad item move <ref> <collection> Move item between collections
pad item edit <ref> Open item in $EDITOR
pad item search "query" Full-text search across all items
pad item comment <ref> "text" Add comment to an item
pad item comments <ref> View item comments
pad item note <ref> "summary" Append an implementation note to an item
pad item decide <ref> "decision" Append a decision log entry to an item
pad item block <src> <target> Create dependency
pad item blocked-by <item> <blk> Mark item as blocked
pad item deps <ref> Show dependencies
pad item unblock <src> <target> Remove dependency
pad item related <ref> Show direct relationships for an item
pad item implemented-by <ref> Show incoming implementers for an item
pad item bulk-update --status X Batch update multiple items
pad collection list List collections with item counts
pad collection create <name> Create a custom collection
pad library list Browse convention and playbook library
pad library activate <title> Activate a convention or playbook
pad agent install [tool] Install /pad skill for AI coding tools
pad agent status Show supported tools and installation status
pad agent update Update installed tool integrations
pad github link [item-ref] Link current branch's PR to item
pad github status [item-ref] Show PR status for linked items
pad github unlink <item-ref> Remove PR link from item
pad webhook list List workspace webhooks
pad webhook create <url> Create webhook
All commands accept --format json for machine-readable output and --workspace to target a specific workspace.
Authentication
Pad runs without authentication by default for frictionless local use. For local installs, pad init creates the first admin account inline. The lower-level commands are useful when you're hosting a Pad server (Docker / remote) and need to set up auth on the server host directly:
pad auth setup # Initialize the first admin account (server host, non-local mode)
pad auth login # Sign in
pad auth whoami # Show current user
pad auth logout # Sign out
Once a user exists, all API requests and web UI access require authentication. Credentials are stored in ~/.pad/credentials.json. Multiple users can be invited to workspaces with role-based access control (owner, editor, viewer).
pad workspace members # List workspace members
pad workspace invite user@example.com
pad workspace join <code>
Architecture
┌──────────────────────────────────────────────┐
│ pad (single binary) │
│ │
│ ┌──────────┐ ┌──────────┐ ┌────────────┐ │
│ │ CLI │ │ REST │ │ Embedded │ │
│ │ (Cobra) │ │ API │ │ Web UI │ │
│ └────┬─────┘ └────┬─────┘ │ (SvelteKit)│ │
│ │ HTTP │ └────────────┘ │
│ └──────────────┤ │
│ ┌─────▼─────┐ │
│ │ SQLite │ │
│ │ + FTS5 │ │
│ └───────────┘ │
└───────────────────────────────────────────────┘
- Go backend — chi router, SQLite via modernc.org/sqlite (pure Go, no CGO), FTS5 full-text search, SSE for real-time updates
- SvelteKit frontend — Svelte 5, Tiptap editor, drag-and-drop, adapter-static, embedded via
go:embed - Single binary — serves the API and web UI, runs on macOS, Linux, and Windows
- Workspace-per-project — each project gets its own workspace linked by a
.pad.tomlfile
All data lives in ~/.pad/pad.db. Your data. Your machine. No telemetry, no cloud, no accounts required.
Contributing
See CONTRIBUTING.md for the development guide.
make build # Build web UI + Go binary
make test # Run Go tests
make dev-web # SvelteKit dev server with hot reload
make install # Build, install to ~/.local/bin, restart server
Security
See SECURITY.md for reporting vulnerabilities.

