Every write — transact() AND single-op add/update/remove/relate — is now its
own immutable generation (Model-B), so a now() pin always freezes and
asOf/since/diff/history/transactionLog reflect single-ops exactly like
transacts. Closes the Model-A hole where pins did not freeze against single-op
writes.
Generation-stamping:
- GenerationStore.commitSingleOp: a one-operation commitTransaction with
deferred durability. Wired into add/update/remove/relate/updateRelation/
unrelate + removeMany (the *Many and VFS paths delegate to these).
- Async group-commit (flushPendingSingleOps): the live write is acknowledged
immediately; its before-image is buffered in an in-memory pending tier that
resolveAt/chains/changedBetween/tx-log read like on-disk generations, so the
synchronous now() freezes with no forced flush. One fsync per window
(triggers: size / 50ms timer / flush / close / transact / compactHistory).
- Crash recovery is drop-without-restore for group-commit generations (marked
groupCommit:true): a crash mid-flush discards the partial generation and
never restores its before-images, which would otherwise revert the
already-acknowledged live write.
- Init-time infrastructure (the VFS root) is the un-versioned generation-0
baseline: a fresh brain reports generation()===0 and an empty
transactionLog(); the first user write is generation 1.
- Historical find()/related() overlay bound is the full reserved watermark
(generation()), so un-flushed single-op writes are overlaid too.
Retention knob:
- config `history` -> `retention`: 'all' | 'adaptive' |
{ maxGenerations?, maxAge?, maxBytes?, budgetBytes?, autoCompact? }; unset ->
adaptive (disk/RAM pressure, zero-config). CompactHistoryOptions floors ->
caps (retainGenerations->maxGenerations, retainMs->maxAge, +maxBytes):
reclaim oldest-unpinned while ANY cap is exceeded; pins always exempt.
- brain.setRetentionBudget(bytes) drives the adaptive byte budget at runtime
(a coordinator's fair-share input). Per-generation bytes recorded in each
delta enable historyBytes() introspection without a storage size API.
Tests: per-write generation resolution, pin freeze vs add/update/remove,
drop-without-restore corruption-trap (fault injector), clean-reopen replay,
maxBytes/maxAge/no-cap reclamation, retention-then-reopen. 107 db/generation/
temporal tests green, tsc clean. Docs (ADR-001, consistency-model, snapshots
guide, api reference, RELEASES) updated to per-write granularity + retention.
|
||
|---|---|---|
| .. | ||
| 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.