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What AI harnesses should learn from OAuth

AI agent harnesses suffer from a flawed mental model that treats agents as mere tools. By adopting OAuth's delegation framework—roles, scopes, and dynamic permission requests—we can build secure, autonomous agents that properly handle constrained delegation.

SourceHacker News AIAuthor: ryanhiebert
What AI harnesses should learn from OAuth
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersIntermediate

Key points

  • AI agents should be treated as independent actors, not just development tools.
  • OAuth's delegation model (resource owner, client, authorization server, resource server) maps well to agent permissions.
  • Current harnesses lack agent-to-subagent delegation and dynamic permission requests.
  • An OAuth-inspired framework enables trustworthy multi-agent systems.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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