David Snelling
431cd64406
One mechanism replaces the COW and versioning subsystems: immutable
generation-stamped records behind a Datomic-style database value.
Record layer (src/db/generationStore.ts):
- Monotonic generation counter in _system/generation.json; bumped once per
transact() commit and once per single-operation write (storage hook), so
brain.generation() is always a meaningful watermark.
- Commit protocol: stage before-images + tx.json delta -> fsync -> execute
batch via TransactionManager -> atomic tmp+rename of _system/manifest.json
(the rename IS the commit point) -> append _system/tx-log.jsonl.
- Crash recovery on open rolls uncommitted generations back byte-identically
and forces an index rebuild; refcounted pins gate compactHistory(), which
records a horizon (asOf below it throws GenerationCompactedError).
Db API:
- Db: get/find/search/related pinned at a generation, with() speculative
overlays, since() diffs, persist() hard-link-farm snapshots, timestamp,
generation, release() + FinalizationRegistry backstop.
- Brainy: now() O(1) pin, transact(ops, {meta, ifAtGeneration}) atomic batch
(GenerationConflictError CAS), asOf(generation|Date|path), restore(path,
{confirm}), compactHistory(), generation(), static open() + load().
- get()/metadata find()/related() are fully correct at any reachable pinned
generation; index-accelerated queries at historical generations throw
NotYetSupportedAtHistoricalGenerationError - never silently-wrong results.
- VersionedIndexProvider (generation/isGenerationVisible/pin/release) in
plugin.ts: feature-detected, balanced pin/release in lockstep with Db
lifecycle, post-commit applier + replay-gap model documented.
Storage primitives (BaseStorage + filesystem/memory adapters): raw-object
read/write/list/remove, fsync barrier, noun/verb raw before-image capture,
tx-log append, snapshotToDirectory (hard-link farm; byte-copy fallback and
append-in-place exceptions), restoreFromDirectory + derived-state reload.
Proof suite (tests/integration/db-mvcc.test.ts + tests/unit/db/): isolation
across 200 mutations, batch atomicity under injected execution failure,
ifAtGeneration CAS, snapshot immunity to source mutation, compaction safety
under pins, with() overlay isolation, generation monotonicity across
reopen, crash consistency through the real recovery path, and versioned
provider pin/release balance. Design record in
docs/ADR-001-generational-mvcc.md.
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|---|---|---|
| .. | ||
| api | ||
| architecture | ||
| augmentations | ||
| concepts | ||
| features | ||
| guides | ||
| operations | ||
| vfs | ||
| ADR-001-generational-mvcc.md | ||
| BATCHING.md | ||
| CREATING-AUGMENTATIONS.md | ||
| DATA_MODEL.md | ||
| DEVELOPER_LEARNING_PATH.md | ||
| eli5.md | ||
| EXTENDING_STORAGE.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 |
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 |
| 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 |
| Extending Storage | Create custom storage adapters |
| Capacity Planning | Scale to millions of entities |
Plugins & Augmentations
| Document | Description |
|---|---|
| Plugins | Plugin system overview |
| Creating Augmentations | Build custom plugins |
| Augmentations Reference | Full augmentation API |
| Augmentations Developer Guide | Plugin development guide |
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.