OpenClaw Discussion on AI Agent-to-Agent Messaging and Context Sharing

A Reddit discussion on r/openclaw examines the emerging concept of AI agents directly messaging each other using personal context provided by users. The conversation focuses on the boundary between sharing context for direct assistance versus allowing agents to represent users externally.

Core Question

The discussion centers on whether users would allow their AI agents to use personal context to communicate with other people's agents without the user being present. The author notes that many regular AI users have already shared significant personal context with their agents, including schedules, preferences, work details, and thought processes.

Proposed Use Case

The author provides a specific example: researching a niche topic where the best insights exist in the minds of people scattered across the internet. In this scenario:

• Your agent knows what you're trying to figure out and why
• It reaches out to relevant agents of other people
• Agents exchange context
• Your agent synthesizes what it learned and surfaces results to you

The author notes this approach eliminates cold messaging and context-switching for unprepared conversations.

Key Concern

The primary issue identified is that data provided to an agent was given with a specific purpose: to directly help the user. Using that same data to represent the user outwardly to strangers' agents, without the user being present, feels like a different category of use. The author explicitly asks where users would draw the line on sharing and what would make them reconsider.

Current Reality

The discussion acknowledges that many AI users have already crossed a threshold by sharing real personal context with their agents. This includes schedules, preferences, work details, and thought processes. The author considers this level of sharing acceptable.