AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
하나의 관리형 MCP 서버가 AI 에이전트를 제한된 행동 카탈로그에 연결하고, 패키지 신뢰·정책·승인·감사 로그로 실행합니다
One governed MCP server connects any AI agent to a finite action catalog, enforced on-host with pack trust, policy gates, approvals, and an audit trail.
개발 도구Elixir · GoGitHub @AndrewDryga온라인운영자 미확인
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Let AI agents investigate and operate infrastructure through declared actions, bounded by policy and host-side checks. Approvals when required, with an audit trail. By Protectorate.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Leave the agent working. Keep production authority bounded.
emisar gives MCP-capable agents a catalog of declared infrastructure actions
instead of a shell. Policy decides what runs, what waits for a person, and what
is denied. A small outbound-only runner checks the action again on the host
before it executes anything.
Start with the public pack catalog and let emisar suggest the packs that match a
host. Add your own actions without adding another MCP server to every
client.README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
Leave the agent working. Keep production authority bounded.
emisar gives MCP-capable agents a catalog of declared infrastructure actions
instead of a shell. Policy decides what runs, what waits for a person, and what
is denied. A small outbound-only runner checks the action again on the host
before it executes anything.
Start with the public pack catalog and let emisar suggest the packs that match a
host. Add your own actions without adding another MCP server to every
client.README 전문 보기 ↗