The write side of the law, ruled 2026-08-03: data is either in main space where developers can use anything, or it is in system.*. - The reserved-name write door DIES: add/update/relate/updateRelation metadata bags accept EVERY name (confidence, type, id, data, level, content, ...) as ordinary user fields — indexed, filterable, sortable, aggregatable, identical to any other field. The remap/enforce/warn machinery, the reservedFieldPolicy config (now a typed init refusal), and the compile-time metadata key bans are all removed. The one write refusal left: keys spelled 'system.*' (namespace forgery), now enforced on all four write doors. - STORED RECORDS GO NESTED (v2): engine fields top-level, the user bag nested verbatim under 'metadata', sealed by a format stamp — by-name storage discrimination is unsound once colliders are admitted. Legacy flat records stay readable forever through the shape-aware splitters (sound for them: the old door refused colliders). Time travel rides the same split (generation store snapshots whole records). - Name-based index exclusions DIE: user frame indexes every name; the excludeFields/indexedFields knobs and their silent-[] holes are gone; bulk-payload protection is value-shape only, uniform across names. - Consumer-sweep findings fixed in the same wave: per-type counts read the frozen 'system.type' column (addToIndex sort, affinity tracking, cold-count rehydration, VFS type bitmaps — legacy 'noun' fallback for pre-rebuild reads); resolveHiddenIds addresses 'system.visibility' (bare 'visibility' was a silent no-op under the law — VFS/system entities leaked into default reads). - Fidelity fallout fixed in the owning layers: readEntityFieldAddress reads the bag first (colliders were absent-shadowed by its own guard) and never serves system addresses from the bag; blob history refs read the bag shape-aware; migration transforms now receive ONE normalized view (engine fields + nested bag) regardless of stored era, and stray flat-habit keys refuse with the fix in the message. - THE REOPEN-COLLIDER CONFORMANCE CASE (required before any RC counts as gates-green): all ten collider names + plumbing names written as user fields, verified verbatim + queryable across live reads, flush+reopen, a forced epoch rebuild, and asOf time travel; relation mirror; forgery refusals; legacy flat-record compat. 8/8 green. Gates: unit 1901/1901 (exit 0) · integration 758 (exit 0) · conformance 27/27 (exit 0) · consumer test sweep migrated (10 files). |
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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-envelopes.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.