Plain-English Governance and Cross-Agent Memory
CoreSpeed implements an approval layer that allows users to articulate what an AI agent can execute independently and what requires manual confirmation. Rather than compiling instructions into rigid rule sets, the platform evaluates plain-language policy descriptions. When an agent initiates an action that falls under an approval condition, execution halts until a user reviews and either authorizes or denies the request.
The platform also maintains persistent memory that functions independently of the agent interface being used. Details such as preferred tone, project context, team members, and previous decisions persist across agent transitions. This setup allows users to switch between supported agent environments, including Claude Code, Codex, and Cursor, while preserving their configurations and behavioral context.
- Plain-language governance prompts determine whether actions proceed automatically or require human sign-off
- Execution automatically pauses for sensitive actions until the user selects approve or deny
- Shared memory preserves context, writing voice, and past decisions across agent transitions
- Connected apps and policy rules remain functional when moving between supported agent platforms