OpenConnector aims to replace raw API tokens with structured runtime boundaries for AI agents

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AI agent demos often rely on raw API tokens stored in environment variables, but this approach raises serious security and accountability concerns in production environments. Key unresolved issues include identifying which user account an agent is acting on, what permissions were granted, and whether sensitive data is being exposed in logs. Inconsistent API schemas across tools like MCP, HTTP, and CLI add further complexity. The open-source project oomol-lab/open-connector proposes a runtime boundary layer to address these challenges. It aims to give developers tighter control over agent access to SaaS services, including handling credential rotation and account disconnection.

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