OpenClaw Workspace: How to Set Up Multi-Project Environments

You’re running multiple AI agents. One for your startup’s backend, another for a client’s marketing automation, and a personal one for side projects. Right now, that means three separate OpenClaw installations, three different databases, and a constant context-switching headache. This chaos is what the OpenClaw workspace fixes. It’s your command center.

An OpenClaw workspace isn’t just a folder. It’s a single, controlled environment where you can spin up isolated projects for each of your agents. Think of it like a developer’s IDE that can hold multiple, completely separate codebases without them ever touching each other. You get one setup to manage, but your work stays perfectly organized and conflict-free.

By the end of this, you’ll have a command center for all your agents. You’ll be able to create a new project for a fresh idea with one command, switch between your active agents instantly, and keep all their data, tools, and configurations neatly separated. Let’s build your command center.

What You Need Before Starting

You’re building a production-grade control panel. Missing one tool causes cryptic failures later.

• OpenClaw Core Installed: The workspace feature is part of the main platform. You need a working OpenClaw installation. If you don’t have it, the setup will fail silently. This is your non-negotiable base.
• Docker Engine & Docker Compose: Workspaces use containers to create isolated project environments. Docker Engine is the runtime. Docker Compose is how we define the multi-container setup for each project. Without them, you have no isolation.
• Git: The workspace manager uses Git to clone project templates and handle versioning for your agent configurations. It’s the backbone of project creation and updates.
• A Terminal You’re Comfortable With: This is a command-line operation. You’ll be running shell commands, checking logs, and navigating directories. If you only use graphical installers, this will be new. That’s okay.
• ~2 GB Free Disk Space: Each project environment has its own database and volume. They add up. Starting with enough space prevents “disk full” errors during setup.

Setting Up Your Environment

First, verify your tools. This is the pre-flight checklist.

Verify Your OpenClaw Installation

Confirm OpenClaw is installed and running. A stopped core service means workspace commands do nothing.

You are my OpenClaw agent. Do the following:
1. Check the status of the core OpenClaw services. Run: docker-compose -f /path/to/your/openclaw/docker-compose.yml ps
2. If any service is not 'Up', attempt to start the full stack. Run: docker-compose -f /path/to/your/openclaw/docker-compose.yml up -d
3. Wait 30 seconds, then check the logs for the 'claw-core' service to see if it started cleanly. Run: docker-compose -f /path/to/your/openclaw/docker-compose.yml logs --tail=20 claw-core
4. Report the final status and any errors you see.

Your agent reports if services are “Up”. Errors mean the core install is broken. Replace `/path/to/your/openclaw/` with your actual path.

Install the Workspace CLI Tool

The workspace feature needs a separate CLI tool. This tool creates and switches projects.

curl -fsSL https://raw.githubusercontent.com/openclaw-ai/openclaw/main/scripts/install-workspace-cli.sh | bash

The script installs to `/usr/local/bin`. Permission errors may need `sudo`. Then verify:

claw-workspace --version

You should see a version number. “Command not found” means the path isn’t in your shell’s PATH. Add `/usr/local/bin` or re-run with sudo.

Initialize Your First Workspace

This command creates the workspace directory and config file. It’s like formatting a new drive for OpenClaw projects.

Navigate to where you want your workspace to live (e.g., `~/Development`). Then run:

claw-workspace init

You’ll see a `.claw-workspace` directory and `workspace.yaml` file. This is now the root. Run future commands from here.

Configure Project Storage

Project data stores inside the workspace by default. For better performance, set a custom Docker volume location.

Edit the `workspace.yaml` file in your workspace root.

nano workspace.yaml

Look for the `storage` section. Uncomment the `docker_volume_path` line and set it to an absolute path on your system with sufficient space.

storage:
 # docker_volume_path: "/mnt/ssd/openclaw_volumes"

Change it to:

storage:
 docker_volume_path: "/mnt/ssd/openclaw_volumes"

Save the file. This path is for new projects. Existing projects won’t move. This step is optional but recommended.

Your environment is ready. Next, create your first isolated project.

Step-by-Step: Building Your Multi-Project Command Center

Now build the structure. Create your first project, switch between environments, and manage from one point.

Step 1: Create Your First Project

This spins up a new, sandboxed environment. It clones a template, sets up a database, and prepares a network. It’s like launching a new virtual computer.

You are my OpenClaw agent. Do the following from the root of my workspace directory:
1. Create a new project named "alpha-agent". Use the standard template. Run: claw-workspace create alpha-agent
2. Wait for the command to finish. It will pull Docker images and initialize the database. This takes 1-2 minutes.
3. Verify the project was created. List all projects: claw-workspace list
4. Report the status of the "alpha-agent" project.

The Claw executes the create command. It generates a project directory with docker-compose.yml and .env files. It starts containers in an isolated network. You see a success message, containers starting, and “alpha-agent” in the list.

Doing it manually?

# Navigate to your workspace root first
cd ~/path/to/your/workspace
claw-workspace create alpha-agent
claw-workspace list

Step 2: Start and Activate a Project

Creating a project builds the house. Starting it turns on the lights. Activating it means you walk inside. Your terminal session now operates in that project’s context.

You are my OpenClaw agent. Do the following:
1. Start the project "alpha-agent". Run: claw-workspace start alpha-agent
2. Wait 15 seconds for services to boot, then check the project's health. Run: claw-workspace status alpha-agent
3. If the status is healthy, activate the project. This changes your shell's environment. Run: eval $(claw-workspace activate alpha-agent)
4. Confirm activation by checking the current project. Run: claw-workspace current
5. Tell me the project name and status.

The Claw starts the containers, then runs activate to set environment variables. You see container logs, an activation message, and your shell prompt may change. The `current` command confirms the active context.

Doing it manually?

claw-workspace start alpha-agent
sleep 15
claw-workspace status alpha-agent
eval $(claw-workspace activate alpha-agent)
claw-workspace current

Step 3: Install an Agent Inside the Project

Now the sandbox is running. Time to put an agent in it. You’ll install an OpenClaw agent specifically within the alpha-agent project. This agent will only have access to this project’s tools, files, and database.

You are my OpenClaw agent. Do the following. Ensure you are in the activated alpha-agent project context:
1. Navigate to the project's root directory. Run: cd $OPENCLAW_PROJECT_ROOT
2. Install a new OpenClaw agent using the quick-start script. Run: curl -fsSL https://raw.githubusercontent.com/openclaw-ai/openclaw/main/scripts/quickstart.sh | bash -s -- --project-name alpha-agent
3. The script will ask for an API key. Use this placeholder for now: sk-test123. Input it when prompted.
4. After installation, verify the agent's core service is up. Run: docker-compose ps | grep claw-core
5. Report if the agent's core service is "Up".

What the Claw does: It runs the installer from within the project’s isolated environment. The installer places all agent files inside the project directory and uses the project’s Docker network. What you see: The standard OpenClaw install output, but it’s contained. The final check shows the `alpha-agent_claw-core` container is running.

Doing it manually?

# First, make sure you activated the project
echo $OPENCLAW_PROJECT_ROOT # Should show a path
cd $OPENCLAW_PROJECT_ROOT
curl -fsSL https://raw.githubusercontent.com/openclaw-ai/openclaw/main/scripts/quickstart.sh | bash -s -- --project-name alpha-agent
# Follow prompts. Use sk-test123 for the key.
docker-compose ps | grep claw-core

Step 4: Create and Switch to a Second Project

This is the power move. You’ll create a completely separate environment for a different use case. Then you’ll switch your active context to it. This proves the isolation works. Your alpha-agent keeps running untouched.

You are my OpenClaw agent. Do the following:
1. Deactivate the current project. Run: claw-workspace deactivate
2. Create a second project named "beta-scraper". Run: claw-workspace create beta-scraper
3. Start and activate the new project in one command. Run: claw-workspace start beta-scraper && eval $(claw-workspace activate beta-scraper)
4. Verify you are now in the new context. Check the current project and the path. Run: claw-workspace current && echo $OPENCLAW_PROJECT_ROOT
5. Confirm the first project, alpha-agent, is still running but not active. Run: claw-workspace status alpha-agent
6. Report the current project name and the status of both projects.

What the Claw does: It cleans up the old shell environment, builds a new project from scratch, and switches your context. What you see: The beta-scraper project building, then activation confirmation. The status check shows alpha-agent is still “RUNNING”. They operate simultaneously but independently.

Doing it manually?

claw-workspace deactivate
claw-workspace create beta-scraper
claw-workspace start beta-scraper && eval $(claw-workspace activate beta-scraper)
claw-workspace current
echo $OPENCLAW_PROJECT_ROOT
claw-workspace status alpha-agent

Step 5: Manage Projects from the Workspace Root

You don’t always need to be inside a project. From the workspace root, you can see everything, stop projects, or remove them. This is your control tower view.

You are my OpenClaw agent. Do the following:
1. Deactivate any project to return to the workspace root context. Run: claw-workspace deactivate
2. Get a full overview of all projects, their status, and resource usage. Run: claw-workspace list --verbose
3. Stop the beta-scraper project but leave its data intact. Run: claw-workspace stop beta-scraper
4. Verify the stop worked and check disk usage of the workspace. Run: claw-workspace status beta-scraper && du -sh .claw-workspace/projects/
5. Report the final status of both projects and total project storage used.

What the Claw does: It exits project context, then uses workspace-level commands to manage the fleet. What you see: A table showing all projects. The stop command halts containers. The du command shows the physical size of your project data on disk.

Doing it manually?

claw-workspace deactivate
claw-workspace list --verbose
claw-workspace stop beta-scraper
claw-workspace status beta-scraper
du -sh .claw-workspace/projects/

You’re Now in Control

You have a working multi-project environment. You can spin up a new, isolated agent playground with `claw-workspace create`. You can jump between them with `activate`. Your agents cannot interfere with each other. Their data is separate. Their networks are separate.

The hard part is over. The pattern is set. Your next project is one command away.

When you want to work on alpha-agent again, just paste this into your Claw:

You are my OpenClaw agent. Switch me to the alpha-agent project.
1. Activate it: eval $(claw-workspace activate alpha-agent)
2. Confirm: claw-workspace current
3. Tell me the project root path.

That’s it. Go build something.

Verifying Everything Works

You’ve run the commands. The output looked okay. But did it actually work? Verification is your insurance policy. It’s the difference between thinking your agents are isolated and knowing they are. Skip this, and you’ll find out something is broken at 3 AM when your production agent can’t find its database.

We’ll check three layers: the workspace system, the project isolation, and the agent functionality.

Check 1: Workspace Integrity

This verifies the core workspace manager is healthy and can see all your projects. It’s like checking the foundation of your command center.

You are my OpenClaw agent. Do the following from my workspace root directory:
1. Get the workspace health report. Run: claw-workspace doctor
2. List all projects with their full status. Run: claw-workspace list --verbose
3. Report if the doctor found any issues and list each project's name, status, and network.

Good output: The `doctor` command returns “All workspace checks passed.” The `list` command shows your projects (e.g., alpha-agent, beta-scraper) with status “RUNNING” or “STOPPED” and unique network names like `claw-workspace_alpha-agent_default`.

Bad output: `doctor` reports missing directories or Docker errors. `list` shows a project status as “ERROR” or “UNKNOWN”. If you see this, the workspace setup itself is damaged.

Check 2: Project Isolation

This proves your projects are truly separate. We’ll test from inside one project that it cannot see or access the resources of another.

You are my OpenClaw agent. Do the following:
1. Activate the 'alpha-agent' project. Run: eval $(claw-workspace activate alpha-agent)
2. From inside this project, list all running Docker containers. Run: docker ps --format "table {{.Names}}\t{{.Status}}"
3. Look for any container names belonging to your other project (e.g., 'beta-scraper'). Report the list of container names you see.
4. Now, try to connect to the database of the 'beta-scraper' project using its internal hostname. This should fail. Run: timeout 5 pg_isready -h beta-scraper-postgres -p 5432
5. Report the result of the connection attempt.

Good output: The `docker ps` command shows containers with names prefixed by your active project, like `alpha-agent_claw-core_1`. You do not see containers named `beta-scraper_postgres_1`. The `pg_isready` command fails with a timeout or “no route to host” error. This is success. The walls are up.

Bad output: You see containers from other projects mixed in. The database connection succeeds. This means isolation is broken, likely due to a misconfigured Docker network.

Check 3: Agent Functionality

This confirms an agent installed inside a project can actually boot and respond. We’re moving from infrastructure to capability.

You are my OpenClaw agent. Do the following. Ensure you are still in the activated 'alpha-agent' project:
1. Navigate to the project's agent directory. Run: cd $OPENCLAW_PROJECT_ROOT
2. Check the status of the agent's specific services. Run: docker-compose ps
3. Send a simple health ping to the agent's core API. Run: curl -s -f http://localhost:8080/v1/health
4. Report if all agent services are "Up" and the health check returned a successful JSON response.

Good output: `docker-compose ps` shows services like `claw-core`, `claw-db` all with state “Up”. The curl command returns a JSON block like `{“status”:”healthy”}` without an error.

Bad output: Services are “Exit 1” or “Restarting”. The curl command fails with “connection refused” or a non-200 HTTP status. The agent installation inside the project is faulty.

If Something Goes Wrong: Rollback

Something is broken. The verification failed. Don’t panic. You built this system step-by-step, so you can dismantle it the same way. Rollback is about controlled demolition. You’ll delete the broken parts but keep what still works.

Your workspace configuration and any healthy projects are safe. We target only the problematic components.

Undo a Single Broken Project

Use this when one project fails verification but the workspace and other projects are fine. You’ll erase the project completely, including its data.

You are my OpenClaw agent. Do the following from the workspace root:
1. Ensure you are not activated in the broken project. Run: claw-workspace deactivate
2. Stop the broken project (e.g., 'beta-scraper'). Run: claw-workspace stop beta-scraper
3. Remove the project and all its files. Run: claw-workspace remove beta-scraper
4. Verify it's gone. Run: claw-workspace list
5. Report that the project has been removed from the list.

After this, the project’s directory in `.claw-workspace/projects/` is deleted. All containers, volumes, and agent data for that project are permanently gone. Your other projects are untouched. You can now run `claw-workspace create beta-scraper` to start fresh.

Undo the Workspace CLI Installation

Use this if the `claw-workspace doctor` fails catastrophically or the CLI tool is corrupted. This removes the controller but leaves your project data on disk.

# Remove the CLI binary
sudo rm /usr/local/bin/claw-workspace

# Remove the workspace configuration from your home directory (if you want a total reset)
rm -rf ~/.config/claw-workspace

# Your project data in your workspace directory remains. It's just inaccessible without the CLI.

This is a manual step because your Claw agent might be broken by the corrupted CLI. Your project files and Docker volumes under `.claw-workspace/` are not deleted. After reinstalling the CLI with the curl script, you can run `claw-workspace init` in your existing workspace directory to reconnect to your projects.

Nuclear Option: Full Workspace Reset

Use this only if everything is broken and you need to reclaim disk space. This deletes everything: all projects, all data, all configuration.

You are my OpenClaw agent. Do the following. This is destructive:
1. Deactivate any project. Run: claw-workspace deactivate
2. From the parent directory of your workspace, remove the entire workspace folder. If your workspace is at ~/dev/my-workspace, run: cd ~/dev && rm -rf my-workspace
3. Also remove the global CLI config. Run: rm -rf ~/.config/claw-workspace
4. Report that the directory and config are gone.

This is permanent. All projects and their data are erased. You are back to square one. Use this to clean up a failed experiment or before starting over with a new understanding.

Verification gives you confidence. Rollback gives you an escape hatch. You now have both. Go build with the certainty that you can check your work and recover from mistakes. That’s how you move fast without breaking things.

When Things Break

You followed the steps. The output looked good. Then something fails. This is normal. Here are the common failures, why they happen, and the exact commands to fix them.

Problem: “claw-workspace: command not found” after install

What’s happening: The install script placed the binary in `/usr/local/bin`, but your shell’s PATH doesn’t include it, or you need sudo.

Fix:

sudo curl -fsSL https://raw.githubusercontent.com/openclaw-ai/openclaw/main/scripts/install-workspace-cli.sh | sudo bash
echo 'export PATH="/usr/local/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc
claw-workspace --version

Why this works: The sudo install ensures proper permissions, and adding `/usr/local/bin` to your PATH makes the command visible.

Problem: “Error: network with name already exists” on project create

What’s happening: A previous project creation failed mid-way, leaving orphaned Docker networks. The workspace CLI sees a conflict.

Fix:

You are my OpenClaw agent. Do the following:
1. List all Docker networks. Run: docker network ls
2. Identify networks starting with 'claw-workspace_' that are not in use. Look for the project name causing the error.
3. Remove the orphaned network. Run: docker network rm [NETWORK_NAME]
4. Retry the project creation: claw-workspace create [PROJECT_NAME]

Why this works: Docker networks are persistent. Removing the stale one clears the conflict for the workspace system to create a fresh, clean one.

Problem: Project status is “UNHEALTHY” or “ERROR”

What’s happening: A core service inside the project (like PostgreSQL) failed to start, often due to port conflicts or corrupt volumes.

Fix:

You are my OpenClaw agent. Do the following:
1. Check the project's logs for the failing service. Run: claw-workspace logs [PROJECT_NAME] --tail=50
2. If you see a port conflict (e.g., port 5432 already in use), stop the conflicting service or reconfigure the project's ports in its `.claw-workspace/projects/[PROJECT_NAME]/docker-compose.yml`.
3. If the database volume is corrupt, you may need to reset it. First, stop the project: claw-workspace stop [PROJECT_NAME]
4. Remove the project's data volume (warning: deletes data): docker volume rm claw-workspace_[PROJECT_NAME]_postgres_data
5. Start the project fresh: claw-workspace start [PROJECT_NAME]

Why this works: Logs show the root cause. Resolving the conflict or rebuilding the corrupted volume lets the services start cleanly.

Problem: Agent installer fails with “Cannot connect to the Docker daemon” inside a project

What’s happening: The project environment is activated, but the Docker socket isn’t mounted or accessible within the project’s context. The installer can’t talk to Docker.

Fix:

# First, deactivate the project context.
claw-workspace deactivate
# Navigate to the project's directory manually.
cd .claw-workspace/projects/[PROJECT_NAME]
# Run the installer here, without project activation.
curl -fsSL https://raw.githubusercontent.com/openclaw-ai/openclaw/main/scripts/quickstart.sh | bash -s -- --project-name [PROJECT_NAME]
# Then activate the project to use the agent.
eval $(claw-workspace activate [PROJECT_NAME])

Why this works: Running the installer from the project’s directory, but outside the activated shell environment, often avoids Docker socket permission issues inherited from the workspace CLI.

Problem: “eval: claw-workspace: command not found” when trying to activate

What’s happening: You are running the activation command from a directory that is not your workspace root, or your shell can’t find the command in its current PATH.

Fix:

# Navigate to your workspace root. You should see the workspace.yaml file.
cd ~/path/to/your/workspace
# Ensure the CLI is in your PATH.
which claw-workspace
# If it shows a path, activation will work. If not, fix your PATH first.
# Now activate correctly.
eval $(claw-workspace activate [PROJECT_NAME])

Why this works: The `claw-workspace` command must be executable and findable from your current location. Being in the workspace root ensures the tool can find its configuration.

Frequently Asked Questions

Keep Reading

• OpenClaw Workspace API Reference , for when you need to automate workspace management from your own scripts or agents.
• Creating Custom Project Templates , to standardize your agent setups and skip repetitive configuration.
• Docker Compose Profiles Guide , the underlying technology for service isolation. Useful for deep debugging.