Software that remembers why.

Turn product vision into software that stays aligned as your company, codebase and AI workforce grow. WorkPace keeps the chain from decision to release visible, so every change moves the product toward what you set out to build.

workpace / homePreview · sample data

Good afternoon, Alex.

3 projects · 1 ticket ready to build · 1 in progress

Projects32 active · 1 planning
Tickets ready15 total
Shipped22 pull requests
Resources5all with content

Tasks by status

5tickets
  • Done2
  • In Progress1
  • Todo1
  • Backlog1

Progress by project

acme-storefront
2/5
mobile-app
1/7
brand-site
4/4

Recent timeline

12 min agoACME-14acme-storefrontPull request opened by a cloud sessionopen
YesterdayACME-13acme-storefrontCart persists across devicesmerged
Yesterdayacme-storefrontPlan written: four epics, six decisions

Click around: this is the app with sample data.

Sound familiar?

Ever built with an AI chat, an agent app or a vibe-coding tool?

AI chat assistantsDesktop agent appsVibe-coding buildersCoding agents in your editor

Each one remembers a little, on its own, and none keeps a structured record of your app's decisions, architecture and activity over months, least of all once you use more than one. Your plans and context need a home that outlasts whichever tool builds next.

That's what WorkPace is ↓

The loop

Five steps from context to shipped.

Each step is a guided agent session you can steer, interrupt or skip. Nothing is a black box, and nothing is mandatory. Capture a single todo and go straight to building if that's the day you're having.

01

Ingest

Paste links, files or a braindump. It becomes structured context, cited and deduplicated.

02

Plan

A guided interview settles scope, stack, epics and architecture, writing decisions down as it goes.

03

Break down

The plan becomes tickets with dependencies wired, so the order of work is obvious.

04

Build

Agents take ready tickets, branch, implement, test and open PRs against your repo.

05

Ship

Merge in a click. Cards close, the session log is written, and the docs stay current.

The memory layer

Every loop leaves the project smarter.

Every pass writes back what it learned: resources, tasks and skills. That shared memory is what keeps a dozen agent sessions, running at once across your projects, building the same product instead of each inventing its own.

Resources

What the project knows

Overview, architecture, decision log and session history as live markdown, written by the work itself. Decisions keep their rationale, so the reason behind a choice outlives the person who made it.

Tasks

What the project has done

Every ticket keeps its dependencies, its comment history and the pull request that closed it. The board is the audit trail: what shipped, in what order, and why it was next.

Skills

How the project works

The playbooks your agents follow are yours to read and edit. Correct one once and every future session inherits it, so the system gets better at your project instead of starting over.

Built for a moving landscape

Tools change every month. Your context shouldn't.

New models, new agent harnesses, new prices, every few weeks. WorkPace holds the part that has to stay stable: what each project knows, what it has done and how it works. The harness underneath is yours to swap for cost, speed or capability, without teaching it your product again.

Stable

Context outlives the tool

Docs, decisions, tickets and skills live in WorkPace, not in one vendor's chat history. Plain markdown and ordinary database rows you own, readable by any agent you point at them.

Per session

Choose the harness each time

Pick where a session runs when you start it. Send routine tickets to whatever is cheapest, hard problems to whatever performs best, and sensitive work to what runs on your own machine.

No lock-in

Switch without starting over

When a better or cheaper harness arrives, it reads the same project on its first day. Nothing to migrate, nothing to re-explain, no accumulated knowledge left behind.

Your data, your call

Run it in the cloud, or own every byte.

The same product either way. The difference is where your projects live and where the agents run.

Fully local

Point the desktop app at your own Postgres and run agents on your machine. No data leaves your hardware except the model calls you make.

  • Self-hosted database: your infrastructure, your backups
  • Agents run locally with full access to your repos and toolchain
  • Credentials stay in the OS keychain, never on a server
  • Works with your existing subscription or your own API key

Start with one ticket.

Describe it, let an agent build it, merge when the checks pass.

Integrates with

Claude agentsGitHubNotionSupabaseVercelYour terminal