AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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Agent Alignment Protocol — the missing trust layer for the agent stack
翻譯準備中
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A transparency protocol for autonomous agents.
AAP lets agents declare their alignment posture, produce auditable decision traces, and verify value coherence before coordinating with other agents. It extends existing protocols (A2A, MCP) with an alignment layer that makes agent behavior observable.
AAP is a transparency protocol, not a trust protocol. It makes agent behavior more observable, not more guaranteed.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
A transparency protocol for autonomous agents.
AAP lets agents declare their alignment posture, produce auditable decision traces, and verify value coherence before coordinating with other agents. It extends existing protocols (A2A, MCP) with an alignment layer that makes agent behavior observable.
AAP is a transparency protocol, not a trust protocol. It makes agent behavior more observable, not more guaranteed.檢視完整 README ↗