* feat(server): periodically revalidate SSE subscriber membership (TASK-670)
handleSSE checked workspace access only at connection time. A removed
member kept receiving live events until they manually disconnected —
or, more commonly, indefinitely, because browser EventSource auto-
reconnects and the replay buffer filled any gaps. An owner who revoked
access had no way to stop the leak without restarting the server.
- New 60s membership revalidation ticker inside the SSE select loop.
- Store.sseSubscriberStillHasAccess mirrors RequireWorkspaceAccess's
access matrix: fresh install bypass, admin role, direct membership,
guest grants, legacy workspace-scoped API token. DB errors fail
OPEN (keep connection) so a transient blip doesn't bounce every
open tab; membership-absent fails CLOSED.
- On revocation we send the client a well-known {type:"unauthorized"}
event with a human-readable reason BEFORE closing the stream, so
frontend EventSource handlers can route to login / dismiss the
workspace instead of tight-looping to reconnect.
- sseMembershipRevalInterval is a package-level var so tests can
shrink it; pinned to the 30-300s reasonable range.
- Unit test exercises every branch: admin, active member, outsider,
removed member, guest-grant (skipped when default collections aren't
seeded), unauthenticated, legacy token scoped to same workspace, and
legacy token scoped to a different workspace.
Parent: PLAN-643 (OSS Security Hardening).
* fix(web): handle server-emitted 'unauthorized' SSE event in client (TASK-670)
Addresses Codex P2 on PR #194: the server emits `{type:"unauthorized"}`
before closing a revoked stream, but the Svelte SSE service only listened
for "connected", "sync_required", and item events. Without a handler,
the default `EventSource.onerror` would auto-reconnect indefinitely on
the next /api/v1/events request — exactly the tight-loop the server
event was meant to prevent.
- New 'unauthorized' SSEStatus so surrounding UI can react (e.g.
redirect to workspace list or show a "revoked" toast).
- Dedicated listener: on unauthorized, set status to 'unauthorized',
close the EventSource explicitly (this prevents browser auto-
reconnect), and null out currentWorkspace so a later connect()
doesn't treat the closed connection as "already connected".
Parent: PLAN-643 (OSS Security Hardening).
* fix(server): recompute SSE visibility on each revalidation tick (TASK-670)
Addresses Codex P1 on PR #194: previous revision only rebuilt the
filter maps at connect time, so a user whose scope was NARROWED
mid-stream (role downgraded to viewer, collection access tightened
to "specific", item grants revoked) kept receiving events from
collections they no longer had access to. Revocation-of-membership
was caught, but scope-tightening was not.
- Extract the filter-map computation into a new sseVisibility struct
+ (*Server).computeSSEVisibility method. Same logic as before,
just reentrant so it can be re-run on a live connection.
- Store the snapshot in a local `vis` variable captured by the
sseEventVisible closure (reads the CURRENT snapshot, so the next
event dispatched after a tick sees the new permissions).
- On every revalidation tick where the subscriber still has access,
call computeSSEVisibility again and reassign `vis`. The cost is
one GetCollection + one GuestVisibleResources + friends per tick
per connection — acceptable at the 60s cadence.
- New TestComputeSSEVisibility_ReflectsCurrentGrants verifies that
a second call after membership revocation returns a different
snapshot (isGuest flip), pinning the regression.
Parent: PLAN-643 (OSS Security Hardening).
* fix(server): jitter first SSE revalidation tick to avoid stampedes (TASK-670)
Addresses Codex P2 on PR #194: the earlier comment promised jitter but
the implementation wired a plain time.NewTicker(revalInterval). Every
stream then revalidated on a cadence tied to its connect time, which
synchronizes whenever a wave of clients connects close together (post-
deploy reconnect storm, login wave, cron-driven dashboard refresh).
The resulting periodic :00/:60 DB load spike is the exact anti-pattern
the comment warned about.
- Swap the Ticker for a Timer. First fire is delayed by a random
uniform [0, revalInterval) window using math/rand so connect-time
coincidence doesn't translate to revalidation-time coincidence.
- After the first fire, Timer.Reset(revalInterval) re-arms at the
regular cadence — the jitter from connect-time is persistent for
the lifetime of the connection, no need to re-jitter every tick.
- math/rand is fine here: this is load-spreading, not a security
primitive, so a deterministic-at-boot PRNG is acceptable.
Parent: PLAN-643 (OSS Security Hardening).
* fix(server): re-fetch user during SSE revalidation to catch admin demotion (TASK-670)
Addresses Codex P1 on PR #194: sseSubscriberStillHasAccess early-
returned on currentUser(r).Role == "admin", but currentUser(r) is the
user snapshot cached in request context at SSE connect time. An admin
demoted mid-stream via /api/v1/admin/users/{userID} would keep the
admin short-circuit forever — the exact "admin forever" bug the
revalidation loop was meant to close.
- Re-fetch the user via s.store.GetUser(cachedUser.ID) at the start of
each revalidation pass so role changes, disabled flags, and account
deletions take effect on the next tick.
- User deleted → revoke.
- User disabled (IsDisabled) → revoke. Previously a disabled admin's
stream also leaked.
- All downstream checks (admin short-circuit, membership lookup, grant
check) use the fresh copy.
Tests:
- TestSSESubscriberStillHasAccess_AdminDemotion: bootstrap admin, hand
it to the request context, then demote to "member" in the DB and
verify access flips to false. Without the fresh fetch, this test
passes even though the real system leaks — pins the regression.
Parent: PLAN-643 (OSS Security Hardening).
* fix(server): use fresh user for SSE visibility computation too (TASK-670)
Addresses Codex P1 on PR #194 (companion to the previous commit):
computeSSEVisibility called visibleCollectionIDs(r, ...), which reads
currentUser(r).Role — the cached snapshot placed in request context
when the SSE connection opened. A global admin demoted to "member"
mid-stream while keeping workspace membership would keep the admin
short-circuit forever — visibleCollectionIDs returned nil (all access)
based on the stale Role="admin", so events from collections outside
the user's new collection_access="specific" scope would keep flowing.
- computeSSEVisibility now re-fetches the user via s.store.GetUser
before computing visibility. Transient DB errors fall back to the
cached snapshot so a blip doesn't accidentally widen visibility.
- The admin short-circuit (visibleIDs nil) now comes from the fresh
user.Role, so demotion immediately trips the "no, actually filter"
path on the next revalidation tick.
Tests:
- TestComputeSSEVisibility_DemotedAdminGetsFilter: set up a global
admin who is a workspace member with collection_access="specific"
and NO granted collections. Before demotion the admin gets nil
(unrestricted). Demote to "member" → the snapshot must flip to a
non-nil visibleSlugSet (system collections only). The cached-role
bug would keep returning nil here.
Parent: PLAN-643 (OSS Security Hardening).
Pad
Project management for developers and AI agents.
One binary. Local-first. No accounts. 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 auth configure
pad workspace init
pad server open
For a local install, choose Local in pad auth configure. Pad will remember that this client manages a local server, auto-start it when needed, and open the web UI at localhost:7777.
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 auth configure + pad workspace 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 1.25+ 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.
To expose Pad beyond localhost intentionally, publish the port more broadly:
docker run -p 7777:7777 -v pad-data:/data ghcr.io/xarmian/pad
Use broader publishing only when you intend to make Pad reachable from other machines or interfaces.
Docker Compose
The repo ships a docker-compose.yml that wires Pad + PostgreSQL + Redis. Before the first docker compose up, copy the env template and fill in a Postgres password:
cp .env.example .env
# Edit .env and set POSTGRES_PASSWORD (e.g. `openssl rand -base64 32`).
docker compose up -d
Compose refuses to start when POSTGRES_PASSWORD is missing — this is deliberate so a fresh deploy cannot silently inherit a known-weak default credential. The web UI binds to 127.0.0.1:7777 on the host by default. Set PAD_BIND_ADDR=0.0.0.0 in .env to expose it to the LAN, or point a reverse proxy at the container on the pad-net network (see docker-compose.prod.yml).
Binary Download
Pre-built binaries for macOS, Linux, and Windows are available on the releases page.
Getting Started
1. Configure this Pad client
pad auth configure
For most local installs, choose Local. If you're connecting to another Pad server, choose Remote or Docker and enter its base URL.
2. Initialize a workspace
cd ~/projects/myapp
pad workspace init "My App"
This creates a .pad.toml file linking your project directory to a Pad workspace with default collections. Running pad init without --template in a terminal opens an interactive picker grouped by category (Software / People / …) so you can pick the one that fits.
pad workspace init --list-templates # See the full catalog grouped by category
pad workspace init "My App" --template scrum # Scrum-style with sprints
pad workspace init "My App" --template product # Product management focused
pad workspace init "My Hiring" --template hiring # Company-side: requisitions, candidates, interview loops, feedback
pad workspace 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.
3. Install the AI skill
pad agent install # Auto-detect and install for all found tools
pad agent install claude # Or install for a specific tool
pad agent install cursor
pad agent install copilot
4. 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.
5. 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. On a fresh instance, run pad auth setup on the server host to create the first admin account:
pad auth setup # Initialize the first admin account
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.
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.