AI & Agents

How to Build Multi-Agent Workflows in OpenClaw

OpenClaw multi-agent workflows let multiple agents coordinate on tasks like data processing or report generation. Fastio provides the shared workspaces agents need, with version tracking for safe concurrent access and built-in RAG for common knowledge. This guide walks through setup, MCP configuration, coordination patterns, and human handoffs.

Fastio Editorial Team 5 min read
Agents use file locks and RAG to work together on complex workflows.

What Are Multi-Agent Workflows in OpenClaw?

OpenClaw lets you split complex jobs across multiple specialized agents. For example, you might have one agent scraping data while another analyzes it and a third formats the report. These agents need a central place to hand off work, which is where shared storage comes in.

Since OpenClaw agents run locally, they use ClawHub skills to manage files. But without a shared workspace, they end up overwriting each other's work or creating duplicate files.

Fastio gives your agents a shared workspace where they can store files safely. We include file locking to stop conflicts and an Intelligence mode that indexes everything so agents can find what they need instantly.

You'll often see this used for research pipelines like scraping, summarizing, and reporting or complex code reviews where different agents check specific parts of a pull request.

This approach lets you tackle much bigger projects than a single agent could handle alone.

OpenClaw agent architecture with multiple specialized roles

Why Shared Storage Matters

Agents need persistent files that last between sessions. Local storage makes collaboration difficult. Fastio workspaces keep files available even if an agent restarts.

Workspaces organize your files by project, with permissions to control access. Agents join as members.

Set Up Fastio Workspaces for OpenClaw Agents

First, grab a Business Trial account at fast.io/storage-for-agents. Create an API key in Settings > Devices & Agents > API Keys, or with POST /current/user/auth/key/.

Point OpenClaw at the Fastio MCP server. Use Streamable HTTP at https://mcp.fast.io/mcp, or https://mcp.fast.io/mcp/key when the client sends a Bearer token. Legacy SSE is at https://mcp.fast.io/sse. You can also install the ClawHub skill in the next section.

Seed the shared workspace by importing a file the pipeline will use:

{"jsonrpc":"2.0","id":1,"method":"tools/call",
 "params":{"name":"upload","arguments":{"action":"web-import","url":"https://example.com/report.pdf",
 "profile_type":"workspace","profile_id":"1234567890123456789"}}}

You can also create an organization with POST /current/org/create/ and a workspace with POST /current/org/{org_id}/create/workspace/. Workspace intelligence indexes uploads so Ripley, the built-in RAG agent, can answer from those files.

Invite other agents as workspace members with POST /current/workspace/{workspace_id}/members/{email_or_user_id}/.

Multiple OpenClaw agents accessing shared Fastio workspace
Fastio features

Start OpenClaw Multi-Agent Workflows

Agents collaborate in shared intelligent workspaces with version history, Ripley, and branded shares.

Install the Fastio ClawHub Skill

OpenClaw agents connect to Fastio's remote MCP server to manage workspaces and files.

Configure the remote MCP server in OpenClaw:

{
  "mcpServers": {
    "fastio": {
      "url": "https://mcp.fast.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_FASTIO_API_KEY"
      }
    }
  }
}

There is no local package or container to install. Connect directly over Streamable HTTP or legacy SSE to access Fastio's consolidated MCP toolset.

Tool List

Here are the main tools you'll use:

  • upload: Import or stream files into a workspace
  • storage: List, search, move, copy, and read details
  • find: Unified search across a workspace or share
  • ai: Ask Ripley for a cited answer
  • share: Branded Send, Receive, and Exchange portals
  • room: Coordination Rooms for agent handoffs
  • event: Activity log

Coordinate Agents with File Locks

Fastio coordinates multi-agent updates through full file version history with restore, granular folder-level permissions, and an append-only audit log. Instead of brittle locking, agents write files with version tracking enabled, ensuring previous revisions are preserved and can be restored at any time.

Agents can inspect file activity and revisions through the remote MCP server or the REST API at https://api.fast.io/current/:

GET https://api.fast.io/current/activity/poll/{entityId}

Granular permissions ensure each agent writes to its designated folder, while the audit log and realtime activity feed track operations across the pipeline.

How to Use RAG for Shared Context

Intelligence mode indexes your files so agents can query the workspace through Ripley. Use the MCP ai tool (ask). It returns a cited, read-only answer and requires profile_type.

{"jsonrpc":"2.0","id":1,"method":"tools/call",
 "params":{"name":"ai","arguments":{"action":"ask","profile_type":"workspace","profile_id":"1234567890123456789"}}}

For example, asking "Summarize risks in Q1 reports" returns an answer with citations pointing to the exact pages.

This lets agents share knowledge without needing to duplicate context. Semantic search (GET /current/workspace/{workspace_id}/storage/search/) finds concepts like "contract indemnity" even if those exact words aren't used.

AI chat with RAG citations from workspace files

Human-Agent Collaboration and Handoffs

Agents can invite humans to workspaces, too. You can use the web UI to preview files and leave comments.

Comments can be anchored to specific parts of an image or timestamps in a video.

For handoffs, invite the person as a workspace member with POST /current/workspace/{workspace_id}/members/{email_or_user_id}/. The agent keeps working in the same workspace. For people outside the org, create a branded Send, Receive, or Exchange share with POST /current/workspace/{workspace_id}/create/share/.

Agents watch for new files with GET /current/activity/poll/{entityId}?wait=95&lastactivity={timestamp} or GET /current/events/search/. A Coordination Room wait call is the MCP version of that handoff.

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

Frequently Asked Questions

What are multi-agent workflows in OpenClaw?

They split complex tasks across multiple agents using shared storage. Fastio provides the workspaces, version history, and RAG needed to coordinate them.

How does OpenClaw share context for agents?

By using indexed workspaces. When you enable intelligence, agents can query shared files through Ripley and get answers with citations.

How does OpenClaw connect to Fastio?

OpenClaw connects directly to Fastio's remote MCP server at `https://mcp.fast.io/mcp` with a scoped API key to access storage, search, sharing, and Ripley AI.

How is concurrent access handled?

Fastio maintains file version history with restore capabilities, granular permissions, and an append-only audit log to safely coordinate agent updates.

Can agents hand off to humans?

Yes. Invite the person as a workspace member, or send a branded Send, Receive, or Exchange share. The agent can keep working in the same workspace.

Related Resources

Fastio features

Start OpenClaw Multi-Agent Workflows

Agents collaborate in shared intelligent workspaces with version history, Ripley, and branded shares.