OrcaReplay

OrcaReplay is included in the Awesome MLSecOps AI Agent and MCP Security directory. The community-maintained README describes it as: “Apache-2.0 CLI that records an agent's model-provider exchange at the wire level for post-incident analysis, then replays the recorded run offline so a captured prompt injection becomes a repeatable test case against a candidate guardrail.” Its MLSecOps relevance is the security of agent identities, tool permissions, memory, credentials, approval paths, sandboxes, runtime actions, or MCP integrations. The linked first-party source is the Continuum-AI-Corp/OrcaReplay repository on GitHub. A technical review should test the project's documented evidence across four criteria: Tool-level authorization, Memory and context controls, Sandbox boundaries, and Audit and approval workflows. Compare that evidence with the intended architecture and threat model. Catalog inclusion establishes relevance to this security category; it is not a certification, comparative ranking, or endorsement. Confirm current capabilities, maintenance, licensing, limitations, and deployment assumptions in the first-party documentation before adoption.

Apache-2.0 CLI that records an agent's model-provider exchange at the wire level for post-incident analysis, then replays the recorded run offline so a captured prompt injection becomes a repeatable test case against a candidate guardrail

Neutral catalog description synchronized from the Awesome MLSecOps README