How to Set Up Sub-Agents with Separate Workspaces in OpenClaw

A member of the OpenClaw community has discovered an elegant solution to a common problem: how to run sub-agents with entirely separate workspaces and different models.
The Problem
Many users have reported that default.subagents.model doesn't work as expected. This is because the schema for subagent defaults differs from the AgentEntity schema used in the agents list.
The Solution
The trick is to define your "main" agent in the agents list and use allowAgents to connect it to other agents you define. Each agent can have its own workspace and model configuration.
Example Configuration
"agents": {
"defaults": {
"model": {
"primary": "openai/gpt-5.2",
"fallbacks": []
},
"workspace": "/home/linux/.openclaw/workspace",
"maxConcurrent": 4,
"subagents": {
"maxConcurrent": 8
}
},
"list": [
{
"id": "main",
"name": "Main Agent",
"subagents": {
"allowAgents": ["developer-agent"]
}
},
{
"id": "developer-agent",
"name": "Developer Agent",
"workspace": "/home/linux/.openclaw/workspace.developer",
"model": {
"primary": "openai/gpt-5.2-codex"
}
}
]
}
Key Benefits
- Each sub-agent gets its own isolated workspace
- Different models can be assigned to different agents
- Clean separation between main and specialized tasks
- Explicit control over which agents can spawn which sub-agents
Source: r/openclaw community
📖 Read the full source: www.reddit.com
👀 See Also

Evaluating Agent Skill Safety: Key Considerations Before Installation
Installing new agent skills can enhance functionality but also comes with risks. Learn how to evaluate the safety of these skills to protect your system.

Building a Bridge for Two Telegram Bots in One Group Chat: Delivery Semantics Over HTTP
A developer shares a practical approach to connect two independent Telegram bots in the same group chat, tackling Telegram's bot-to-bot delivery gaps with HTTP relays, ACKs, deduplication, and strict scoped feeds.

12 OpenClaw Power User Tips for Efficient AI Agent Workflows
A Reddit post outlines practical strategies for optimizing OpenClaw usage, including splitting conversations into topic-specific threads, using voice memos for input, matching models to tasks, delegating work to sub-agents, and implementing security layers.

OpenClaw setup for human-in-the-loop browser automation with Docker, Chromium, and noVNC
A developer shares their Docker container setup that enables OpenClaw to handle CAPTCHAs and approvals mid-run by using Chromium with noVNC for remote access, requiring ~300MB RAM and 3-second cold starts.