How to Set Up Shared Workspaces in OpenClaw

OpenClaw workspace setup configures shared storage where multiple OpenClaw agents access files persistently across sessions. Agents generate reports, datasets, images, or code that require organized storage, version history, previews, and collaboration tools.

Fastio integrates via its remote MCP server at https://mcp.fast.io/mcp, delivering a consolidated toolset for file management, sharing, and AI queries. Unlike local storage that vanishes on restart or email limited to 25 MB attachments per Gmail's policy, Fastio offers browser previews for videos, PDFs, and images, plus real-time comments and activity feeds.

Consider a data pipeline: Agent A processes raw data into CSV files. Agent B runs analysis and stores charts. Agent C compiles a client-ready package. All files live in one searchable workspace. Semantic search locates "Q3 sales analysis charts" by meaning once Intelligence is enabled. Agents can easily transfer ownership to humans.

This setup gives agents persistent memory to run complex workflows without data loss. Workspaces support folders, file version history with restore for concurrent access, and activity feeds.

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More on this subject: OpenClaw Setup and Guides (199 guides)

Verify these before starting openclaw workspace setup:

1. OpenClaw installed and operational on your machine. Clone from GitHub if needed: git clone https://github.com/steipete/openclaw.
2. Modern browser for Fastio authentication.
3. Sample OpenClaw agent script testing tool calls.
4. A Fastio account. Running an organization needs a 14-day trial (a credit card is required) or a subscription, and storage and seats come with the plan.

Reference the Fastio MCP guide for tool specs.

Configure your agent to connect to Fastio's remote MCP endpoint:

{
  "mcpServers": {
    "fastio": {
      "url": "https://mcp.fast.io/mcp"
    }
  }
}

Connection registers a consolidated MCP toolset: auth, workspace management, storage operations, sharing, AI chat, events, members, and more.

Initial agent tool call triggers browser for authentication via PKCE, or use a scoped API key from your dashboard. Attach the organization to a 14-day trial or a subscription so tool calls can run.

Verify: Prompt agent "List Fastio tools." Output includes upload, list_files, create_share, ai_query, and metadata tools.

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Agents auto-create orgs/workspaces on first tool use, or prompt explicitly:

1. Authenticate if new.
2. Call workspace tool: name "TeamProject".
3. Toggle Intelligence Mode for semantic search.

Sample prompt: "Create workspace 'MarketingCampaign', upload sample.csv, enable AI indexing."

Invite collaborators: Generate links/IDs for agents/humans. Workspaces handle folders, versioning, and previews for PDFs, video, and images.

Code snippet (agent pseudocode):

### Code snippet (agent interaction):

Agents call Fastio MCP tools directly via the remote endpoint:
`create_workspace(name="SharedAgents", intelligence=True)`

Each agent connects to the remote Fastio MCP server independently, authenticates with a scoped key, and accesses the workspace.

Concurrent work with version history

Multiple agents can write outputs to the same workspace. File version history preserves previous versions so any accidental conflict can be restored cleanly.

Files are indexed and searchable once Intelligence is enabled for the workspace. Downstream services monitor updates via the realtime activity feed or WebSocket events feed.

Handoff: Ownership transfer allows an agent to create an organization and hand it to a human through a claim link.

Define clear tool contracts and fallback behavior so agents fail safely when dependencies are unavailable. This improves reliability in production workflows.

The remote MCP server provides a consolidated toolset for agent operations:

1. auth: signin, status, api-key management.
2. org: create, list, transfer ownership via claim link.
3. workspace: create, list, update, intelligence toggle.
4. member: invite, add, remove.
5. storage: list, move, copy, delete, search, restore.
6. upload: text, binary, web-import.
7. share: create Send, Receive, and Exchange shares.
8. comment: add, list on files.
9. ai: chat_with_files, document Q&A with citations.
10. event: realtime activity feed, WebSocket events.
11. download: workspace and share files.
12. preview: generate preview URLs and transforms.
13. metadata: schemas, extract, query.

Full docs: Storage for Agents.

Practices:

• Use one workspace per project.
• Turn on Intelligence for search-heavy workflows.
• Rely on file version history for multi-agent edits.
• Use the realtime activity feed or WebSocket events feed.
• Transfer ownership to a human if the organization needs its own billing.

Troubleshooting:

• Auth loop: Clear cache, retry authentication.
• 402 error (credits exhausted): Check usage, purchase credit packs or transfer org.
• Large files fail: Retry with a resumable upload session rather than a single request.
• Invite errors: Verify ID format.
• Indexing delay: Poll file status in file details.

Scale: URL import from Drive/Dropbox, ownership transfer.

Capture these lessons in a shared runbook so new contributors can follow the same process. Consistency reduces regression risk and makes troubleshooting faster.

Example 1: Data Pipeline Agent1: Upload raw data dataset.csv. Agent2: Analyze, append results. Agent3: Generate report PDF, create Send share.

Prompt chain: "Pipeline: process sales.csv -> charts.png -> summary.pdf -> share with client@email.com."

Example 2: Human-AI Review Agent builds prototype files. Invite human, add comments. Agent reads comments, iterates.

Example 3: Knowledge Base Build Import dozens of PDFs via URL. Enable intelligence. Query: "Summarize compliance risks across docs."

Define clear tool contracts and fallback behavior so agents fail safely when dependencies are unavailable. This improves reliability in production workflows.

Fastio works well for agent teams: native MCP, RAG, handoff support.