This release adds 4 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+14 more
Summary
AI summaryAdded predictive insights pipeline and hallucination detector with claim verification.
Full changelog
What's Changed
- feat: data governance — interaction data preferences, PII-gated exports by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/514
- feat: add predictive insights pipeline by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/515
- feat: hallucination detector — claim verification, confidence gates, grounding by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/516
- feat: lesson inference — context extraction, lesson linking, statusbar by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/517
- feat: history distiller — self-healing brain from chat context (Pro) by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/518
- feat: CLI inline feedback + statusbar lesson/tower display by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/519
- feat(feedback): add history-aware lesson distillation by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/520
- fix(test): avoid shell-based statusline invocation by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/521
- feat: wire lesson auto-creation into feedback pipeline + statusbar (#519 follow-up) by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/525
- fix(deploy): keep Railway aligned to main by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/526
- feat: v0.9.4 — conversation context, reflector agent, feedback sessions, per-action retrieval by @IgorGanapolsky in https://github.com/IgorGanapolsky/ThumbGate/pull/522
Full Changelog: https://github.com/IgorGanapolsky/ThumbGate/compare/v0.9.3...v0.9.4
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About IgorGanapolsky/mcp-memory-gateway
Pre-action gates that prevent AI coding agents from repeating known mistakes. Captures explicit feedback, auto-promotes failures into prevention rules, and enforces them via hooks.
Related context
Beta — feedback welcome: [email protected]