
Give your AI agent a bench to work on.
Research, Innovate, Plan, Execute, Review, then test and ship. Your agent writes the code; Workbench makes sure the work gets done properly, on your machine, with you in control.
01
A process the agent can't skip
Every session moves through Research, Innovate, Plan, Execute, and Review. The agent looks before it leaps, and nothing is committed until you approve the plan.
02
One rulebook. Every agent.
Your rules, your project memory, and the session focus go with every agent you use. Plan with one and build with another without losing the thread.
03
Code review that shows its work
Built for agent-sized pull requests: walk through the change, compare fixes before you pick one, and check that feedback was really fixed. Not just a wall of +143000/−67000.
From an empty folder to a real start.
Starting from scratch? Two starters set up the plan for you. Describe what you want once, and the session follows it.
- 01
Website builder
Describe the site and get a complete marketing build: pages, structure, and something ready to put online.
- 02
Project docs
Kick off a full project plan: discovery, sprints, user stories, and the docs your team needs before feature work.
From first question to merged PR, with you in charge.
Give Workbench a repo and a goal. The agent researches, weighs options, writes a plan for you to approve, and only then builds. It stays on topic, remembers your project, and stops to ask when a decision is yours.
Research
The agent maps your code and the problem before it touches anything.
Problem understood
Innovate
It weighs a few ways to solve it and talks them through with you.
Approach chosen
Plan
A written plan and checklist you approve. Commit stays locked until you do.
Plan approved
Execute
One click and the agent builds it on its own branch, then drafts the commit message.
Code written
Review
The agent checks its own work, and a quality check flags leftover secrets, debug code, and gaps.
Work checked
Test & ship
Work through a short test checklist, then commit, push, and open the pull request from the same screen.
PR open
Loop
Hands-off. Set a goal, turn Loop on, and send. The agent keeps going, stops only for your questions, then hands you a checklist to test.
Learn moreMesh
Many angles at once. Run research, a code review, or a security check in parallel and get one clear set of findings before any code changes.
Learn moreKnow what the agent is carrying before the run gets expensive.
Long sessions fill up fast. Workbench shows how full the agent's memory is, straight from the agent's own numbers, plus what the session has used and roughly what it has cost, so you know when to trim the scope or start fresh.
Memory you can see.
Your project notes, a map of how everything connects, and an agent that gets the right few notes for each step, not everything you ever wrote. Finished sessions add what they learned automatically.
Notes
Read, correct, and keep your project's memory. It's yours, on your machine.
Map
Brain shows how your services, standards, and code connect.
Right notes, right time
Each step gets the few notes that matter, not the whole collection.
PR review that shows its work.
Agents can write thousands of lines in minutes. Workbench helps you understand them: what changed, why, and what could break. Then it helps you act: post comments, compare fixes, send issues back to the agent, and check that each one was really closed.
See the change, not just the files
Every pull request opens with the description, the changes, and the issues found, ranked by how much they matter. Nothing is posted to GitHub until you say so.
Ask why it changed
A guided tour of the pull request, step by step. Ask the agent about any step, check the work against your own acceptance criteria, and turn an answer into a comment.
A stack of PRs, reviewed as one
Review a series of related pull requests as a single change. Each comment lands on the PR that owns the line, and you can approve and merge the whole stack in one go.
Run it, test it, ship it, from the same session.
Start the app for the branch you're on, test it for real, then ship from the same session. No separate ops maze.
Run the stack for this PR
Start, rebuild, or stop the services for this session's branch, so you can actually run what the pull request changes.
One rulebook. Every agent CLI.
Cursor, Claude Code, Codex, and OpenCode all run inside Workbench with the same rules and skills. Use a different agent for planning and building if you like; the plan and progress follow along. Workbench runs the process. It is not another code editor.
Become fluent withCursor Agent
Cursor Agent
Rules, skills, and tools, delivered automatically
Claude Code
Rules and skills, delivered automatically
Codex CLI
Rules and skills, delivered automatically
OpenCode
Rules and skills, delivered automatically
The rest, without the clutter.
Plan approval before commit
Commit stays locked until you approve the plan and the quality check is clean.
History and recovery
If the app closes mid-task, pick up where you left off from History, or clear out old work.
Steer it from Slack
Start sessions, answer the agent, and act on reviews from Slack on your phone. Desktop notifications cover you when you're at your desk.
Rules and skills that stick
Shared defaults plus your own rule packs, loaded only when needed so sessions stay fast.
Profiles and accounts
Separate workspaces per person, each with the GitHub accounts they link.
Questions as clear choices
When the agent needs a decision, you get a card with options to click, not a question buried in a wall of text.
Built to help you ship, not to watch how you work.
We do not collect metrics or usage analytics. Workbench exists to help you build: no account, no cloud sync, no tracking. Create a profile on first run and start working. Agent calls go only to the provider you chose.
- Accounts required
- None
- Data storage
- On your machine
- Telemetry
- None. We do not collect metrics
- GitHub linking
- Optional
Want help getting set up?
Downloads are live on the Download page. Book a short call if you want help getting set up while the first builds settle in.
You get
- Builds for Linux, Windows, and macOS
- A direct line for bugs, crashes, and feature requests
- Influence over the roadmap while it is still soft
We ask
- You already use an AI coding agent day to day
- You are comfortable with git and pull requests
- You will tell us when something is broken or confusing
- More agents
- Support for more coding agents and smoother runs across machines.
- Team workflows
- Share rule packs and move profiles between machines more easily.
- Richer review
- Review templates, batch PR review, and tighter checks before you merge.
- Cross-platform polish
- Smoother installs and updates on every platform.
- Mesh library & budgets
- Browse saved Meshes from Repos, push findings into Review, and set turn or token budgets beyond the parallel worker cap.
- Semantic knowledge
- Smarter search across your company and project notes, so the agent finds the right note even when the wording is different.
Questions, answered.
Ship with your agent, not around it.
Get your agents under control. Two minutes from install to your first structured session, all of it on your own machine.
