M-Anchor: a deterministic, zero-LLM Python gate that blocks unsupported LLM record updates
Informal-Winter-3190 · reddit · 2026-10-01
The author open-sourced M-Anchor (Apache-2.0), a locally run Python app that vets LLM-generated proposals before they update stored records. The gate makes zero LLM calls and uses deterministic logic: it rejects unsupported changes and only allows updates backed by admitted evidence. It ships with fixed attack scenarios, valid-update controls, and exportable logs, protecting the app's case records. Aimed at prompt injection and adversarial threats to state integrity, it offers an engineering guardrail that doesn't rely on model judgment, with the author welcoming reproducible counterexamples.
More from coding & agent
- Jev Sentinel open-sources per-action agent monitor that scored 53,870 HF payloads, flagging 98.3% — schwentker · 2026-10-01
- Priors: An Onchain Credit Bureau for AI Agents Emerges — econoar · 2026-10-01
- Tripo API integrates with Unbound for real-time sculpting of AI-generated 3D assets — yshan2u · 2026-10-01
- Veteran game dev lists 10 ways AI saves time: crash logs, CMake, 400ms frame hitches — draginol · 2026-10-01
- NVIDIA's Mid-Harness Scales Actions at the Model-Harness Boundary, Lifting TerminalBench Pass@1 to 68.03% — nvidia · 2026-10-01
- Amazon's SMART Self-Evolving Multi-Agent System Tops All 15 Subtitle Arena Directions, Cuts Penalty 6.9% — amazon · 2026-10-01