v0.1.0 — Initial public release

First public release of ralph-vault by Santander AI Lab: a Python CLI tool / library that creates and maintains a progressive-disclosure knowledge vault (a tiered "deepwiki") for one or many code repositories — the knowledge source for LLM / AI agent loops (ralph-style).

Added

• ralph-vault agent skill: project-agnostic, progressive-disclosure knowledge vault for one or many code repositories.
• scripts/gv.py — stdlib-only CLI: init, add, delete, list, check, validate, plan, mark-synced, changelog.
• Tiered vault structure (index, domains, repos, components, infrastructure, technologies, relations, cross-cutting, adrs, glossary, agent-context, meta).
• Per-repo registry in .ralphvault/config.json (no hardcoded repos), path-aware staleness detection and module-level incremental sync.
• Deterministic validation gate (frontmatter, wikilinks, token budgets, no-source-code rule, source-backlink checks) and FIXED prompts for ralph-loop content generation.
• install.sh for Codex/Claude/Gemini skill directories.

Licensed under Apache-2.0. See CHANGELOG.md for details.