goal-anchor v0.1.0 launches to detect goal hijacking in multi-step AI agents

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Developer Pedro Sordo Martínez has released goal-anchor v0.1.0, an open-source Python library designed to protect multi-step AI agents from goal hijacking attacks. The tool exposes three core components — GoalAnchor, AnchorProposal, and DriftMonitor — to detect when an agent's objective drifts from its original human-confirmed anchor. It operates on two layers: a structural layer that requires no LLM calls, and a pluggable semantic layer whose default embedder stub is intentionally non-operational and documented as a known gap. The library ships with 18 passing tests and a clean ruff lint check, audited on the main branch at commit 7b10ce2. The project is hosted on GitHub under the AGPL-3.0-or-later license.

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