Tab Limits
A guardrail for enthusiastic AI agents. Maximum tabs, minimum chaos.
What is Tab Limits in Chau7?
Tab Limits is a feature in Chau7 that sets a configurable maximum on the number of tabs AI agents can create through the MCP server. When an agent calls tab_create and the limit is reached, Chau7 returns an error message explaining the constraint rather than silently failing or creating the tab anyway.
The Chau7 tab limit applies exclusively to MCP-created tabs. Tabs you create manually through the UI are never counted against the limit and are never blocked.
How does Chau7's tab limits compare to other terminals?
Most terminals have no concept of tab limits for AI agents because they have no MCP server. iTerm2, Warp, Alacritty, and Kitty do not provide any mechanism to cap agent-created tabs.
Chau7 is the only terminal that provides a configurable ceiling on MCP-created tabs while leaving manual tab creation unrestricted. This guardrail in Chau7 prevents runaway AI agent behavior without limiting the developer.
How do I prevent AI agents from creating too many terminal tabs?
In Chau7, set a tab limit in the settings. The limit applies exclusively to tabs created through Chau7's MCP server by AI agents like Claude Code, Codex, and Cursor.
When the limit is reached, Chau7 returns a clear error to the agent explaining the constraint. AI agents operating in loops can create tabs faster than you can notice. A coding agent that retries a failing test might open ten tabs in ten seconds. Chau7's tab limit sets a ceiling so runaway automation stays contained.
What is Chau7's default tab limit?
Chau7's default tab limit is set conservatively to prevent runaway behavior while still allowing agents to work with multiple tabs for parallel tasks. You can adjust the tab limit in Chau7's settings to match your workflow.
The limit only affects tabs created through Chau7's MCP server. You always retain full control of your terminal, and manually created tabs are never blocked by the limit.
Does Chau7's limit count tabs that have been closed?
No. Chau7's tab limit counts only currently open MCP-created tabs. Once an agent closes a tab, that slot is freed for a new one.
This design in Chau7 encourages AI agents to clean up after themselves and reuse tab slots. An agent that closes finished tabs can continue creating new ones without hitting the limit.
Questions this answers
- What is Tab Limits in Chau7 terminal?
- How does Chau7's tab limits compare to other terminals?
- How do I prevent AI agents from creating too many terminal tabs?
- What is the default tab limit?
- Does the limit count tabs that have been closed?
Frequently asked questions
What is Tab Limits in Chau7 terminal?
Tab Limits is a feature in Chau7 that sets a configurable maximum on the number of tabs AI agents can create through the MCP server. When an agent calls tab_create and the limit is reached, Chau7 returns an error message explaining the constraint. Tabs you create manually are never counted against the limit.
How does Chau7's tab limits compare to other terminals?
Most terminals have no concept of tab limits for AI agents because they have no MCP server. Chau7 is the only terminal that provides a configurable ceiling on MCP-created tabs while leaving manual tab creation unrestricted. This guardrail prevents runaway AI agent behavior without limiting the developer.
How do I prevent AI agents from creating too many terminal tabs?
In Chau7, set a tab limit in the settings. The limit applies exclusively to tabs created through Chau7's MCP server by AI agents. When the limit is reached, it returns an error to the agent explaining the constraint. Tabs you create manually are never affected by the limit.
What is the default tab limit?
Chau7's default tab limit is set conservatively to prevent runaway behavior while still allowing agents to work with multiple tabs for parallel tasks. You can adjust the tab limit in Chau7's settings to match your workflow.
Does the limit count tabs that have been closed?
No. Chau7's tab limit counts only currently open MCP-created tabs. Once an agent closes a tab, that slot is freed for a new one. This design encourages AI agents to clean up after themselves and reuse tab slots.