Smartness FAQs

Question 1

What is Smartness and how does it help Claude Code users?

Accepted Answer

Smartness is a Multi-Agent Communication Platform (MCP) that transforms isolated Claude Code sessions into a coordinated multi-agent network. It enables autonomous communication and task delegation among multiple Claude agents through a local server, specifically designed for Claude Max Plan subscribers in VS Code.

Question 2

Can Smartness manage agents across multiple projects or sessions?

Accepted Answer

Yes, Smartness supports multi-session and multi-project environments. You can run and coordinate several agents simultaneously across different codebases. Project isolation ensures that messages stay scoped to their respective project contexts, preventing cross-contamination and maintaining organized agent interactions.

Question 3

How does Smartness facilitate autonomous agent communication without human intervention?

Accepted Answer

Smartness uses two key mechanisms: **Cognitive Acting** for passive message delivery via AI Smartness memory injection, and **Autonomous Agent Activation** via stdin injection. Together, these allow agents to receive and respond to messages immediately, even when idle, with zero human interaction, creating 'full telepathic communication'.

Question 4

Does Smartness require any external API keys or cloud services?

Accepted Answer

No, Smartness operates entirely locally with zero API key requirements. This enhances privacy, control, and reduces dependency on external services, making it a secure and self-contained solution for multi-agent coordination within your local development environment.

Question 5

What kind of communication and coordination tools does Smartness offer?

Accepted Answer

Smartness provides a comprehensive suite of 13 MCP tools for inter-agent communication and task delegation. These include tools for agent discovery (`agent_list`, `agent_query`), messaging (`msg_send`, `msg_broadcast`, `msg_inbox`, `msg_reply`), task delegation (`task_delegate`, `task_status`), cross-agent metrics, and network topic discovery.

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