David Snelling
c0f6ccd958
The 7.x branch system stored Virtual Filesystem content as blobs in its
copy-on-write area (`_cow/`). 8.0 removed that system and stores content blobs
in the content-addressed store (`_cas/`), but the one-time layout migration only
moves entities — it never adopted the `_cow/` content blobs. A store that used
the VFS was left with every VFS-backed read throwing "Blob metadata not found"
and its pages 500ing, with no first-party recovery and the pre-upgrade backup
already removed on entity-migration "success".
Add an on-open recovery pass (`autoAdoptLegacyVfsBlobsIfNeeded`) that runs right
after the layout migration and adopts every orphaned `_cow/` blob into `_cas/` —
copying both the bytes and the metadata via the raw object primitives,
idempotently and non-destructively (the `_cow/` originals are never deleted). It
is a separate phase, not folded into the migration, so it also heals a store
already upgraded by an earlier 8.0.x that stranded the blobs (whose layout-
migration marker is stamped): it is gated on the presence of `_cow/` and its own
`_system/vfs-blob-adoption.json` marker. Filesystem-only; native-8.0 and non-VFS
stores no-op on a cheap existence check.
- `BaseStorage.adoptLegacyCowBlobs()` — the scan/copy primitive, returning
`{ cowBlobs, adopted, alreadyPresent, incomplete }`; skips (does not half-adopt)
a blob missing its bytes or metadata.
- `brain.vfs.adoptOrphanedBlobs()` — the explicit force path; self-initializes.
- Backup retention: the automatic pre-upgrade backup is now kept if any blob
can't be fully adopted (`incomplete > 0`), instead of being removed on
entity-migration success alone — a blob-parity gate the migration signal
cannot provide.
Adds an end-to-end integration test (storage-level adopt with idempotency and
incomplete handling; self-heal on reopen; the explicit API) and an upgrade guide.
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|---|---|---|
| .. | ||
| api | ||
| architecture | ||
| concepts | ||
| guides | ||
| operations | ||
| vfs | ||
| ADR-001-generational-mvcc.md | ||
| BATCHING.md | ||
| DATA_MODEL.md | ||
| DEVELOPER_LEARNING_PATH.md | ||
| eli5.md | ||
| FIND_SYSTEM.md | ||
| MIGRATION-V3-TO-V4.md | ||
| neural-extraction.md | ||
| PERFORMANCE.md | ||
| PLUGINS.md | ||
| PRODUCTION_SERVICE_ARCHITECTURE.md | ||
| QUERY_OPERATORS.md | ||
| README.md | ||
| RELEASE-GUIDE.md | ||
| SCALING.md | ||
| STAGE3-CANONICAL-TAXONOMY.md | ||
| transactions.md | ||
| troubleshooting.md | ||
| universal-display-augmentation.md | ||
Brainy Documentation
The multi-dimensional AI database with Triple Intelligence — vector search, graph traversal, and metadata filtering in one unified API.
Quick Start
import { Brainy, NounType, VerbType } from '@soulcraft/brainy'
const brain = new Brainy()
await brain.init()
// Add entities — data is embedded for semantic search, metadata is indexed for filtering
const id = await brain.add({
data: 'Revolutionary AI Breakthrough',
type: NounType.Document,
metadata: { category: 'technology', rating: 4.8 }
})
// Search with Triple Intelligence
const results = await brain.find({
query: 'artificial intelligence', // Semantic search (on data)
where: { rating: { greaterThan: 4.0 } }, // Metadata filter
connected: { from: authorId, depth: 2 } // Graph traversal
})
Core Documentation
| Document | Description |
|---|---|
| API Reference | Complete API documentation — start here |
| Data Model | Entity structure, data vs metadata, storage fields |
| Query Operators | All BFO operators with examples and indexed/in-memory matrix |
| Find System | Natural language find() and hybrid search details |
| Consistency Model | The Db API guarantees — snapshot isolation, atomic transactions, time travel |
Architecture
| Document | Description |
|---|---|
| Architecture Overview | High-level system design |
| Triple Intelligence | Vector + Graph + Metadata unified query |
| Noun-Verb Taxonomy | 42 nouns + 127 verbs type system |
| Stage 3 Canonical Taxonomy | Complete type reference |
| Storage Architecture | Storage adapters and optimization |
| Index Architecture | Vector, Graph, and Metadata indexing |
| Zero Configuration | Auto-adapts to any environment |
Virtual Filesystem (VFS)
| Document | Description |
|---|---|
| VFS Quick Start | Get started in 30 seconds |
| VFS Core | Core concepts and architecture |
| VFS API Guide | Complete VFS API reference |
| Common Patterns | VFS usage patterns |
See vfs/ for the complete VFS documentation set.
Guides
| Document | Description |
|---|---|
| Import Anything | CSV, Excel, PDF, URL imports |
| Snapshots & Time Travel | Backups, restore, what-if analysis, audit trails |
| Natural Language | Query in plain English |
| Neural API | AI-powered features |
| Enterprise for Everyone | No limits, no tiers |
| Framework Integration | React, Vue, Angular, Svelte |
Storage & Deployment
| Document | Description |
|---|---|
| Storage Architecture | Filesystem and memory adapters, on-disk artifact layout, operator-layer backup |
| Capacity Planning | Scale to millions of entities |
Plugins
| Document | Description |
|---|---|
| Plugins | Plugin system overview — providers, plugins config, brain.use() |
Performance & Scaling
| Document | Description |
|---|---|
| Performance | Optimization techniques |
| Scaling | Scale to billions of entities |
| Batching | Batch operations guide |
Migration & Reference
| Document | Description |
|---|---|
| v3 to v4 Migration | Upgrade guide |
| Release Guide | How to release new versions |
| Production Architecture | Ops reference |
Internal
| Document | Description |
|---|---|
| Audit Report | Feature audit |
| Honest Status | Actual implementation status |
License
Brainy is MIT licensed. See LICENSE for details.