Changelog

What's new in Veriova.

Features, improvements, and fixes — most recent first.

March 2026

Improvement

Product Overhaul — new naming, features page, and onboarding

Renamed product areas for clarity: Scaffold → AI Config, Pulse → Insights, Reliability → Drift Detection, OpenClaw → Agent. Added /features, /about, /changelog, /security pages. New 5-step onboarding wizard for first-time users.

Feature

Dashboard charts and data visualisations

Memory growth, action velocity, drift trends, and sync history charts across all dashboard pages. Built with Recharts area, bar, donut, and line charts plus hand-rolled SVG sparklines. All charts use CSS variable tokens for automatic dark/light mode.

February 2026

Feature

AI Config generation (formerly Scaffold)

Generate CLAUDE.md, AGENTS.md, .cursor/rules, .github/copilot-instructions.md, and .windsurfrules from project memory. Template and skill composition with marker-based updates that preserve existing user content outside the veriova markers.

Feature

Skills — reusable AI procedures

Create, install, and share reusable procedures that encode how your team solves recurring problems. Public skill registry with language and tag filtering. Skills compose into AI config generation.

Feature

Developer Insights (formerly Pulse)

Passive concept encounter tracking across every AI tool session. Session digests powered by GPT-4o-mini summarise what was accomplished and highlight growth signals. Skill strength scores decay over time, surfacing real weak spots for proactive learning.

Security

Secret redaction in MCP responses

Outbound secret scanning for postgres URLs, API keys, bearer tokens, AWS credentials, private keys, and other sensitive patterns in every AI tool response. Secrets are replaced with typed redaction markers like [REDACTED:postgres_url].

January 2026

Improvement

Flutterwave billing integration

Pro tier payment with card verification, PIN support, and card brand detection (Visa, Mastercard, Verve). Webhook-verified plan upgrades with no manual intervention required.

Feature

Knowledge source indexing

Connect GitHub repositories and upload documents for semantic search and context injection. Hybrid search combines vector embeddings with full-text search across all indexed knowledge.