Vector Database & Local-First Sync Architecture Standard
Defines vector storage and local-first synchronization for AI and distributed applications, including embeddings, indexing, replication, conflict handling, and offline operation.
Standards / AI, Knowledge, Data, and Identity / MYTHOS-DAT
Artificial intelligence, knowledge and grounding, data and evidence, identity, and learning. Visual language: Model routing lattices, knowledge graphs, provenance flows, identity trust paths, policy gates, and learning loops.
MYTHOS-DAT
Defines vector storage and local-first synchronization for AI and distributed applications, including embeddings, indexing, replication, conflict handling, and offline operation.
Defines OpenTelemetry-aligned observability semantics for models and agents, covering traces, tool calls, prompts, tokens, latency, cost, errors, and privacy-safe telemetry.
Defines data-sovereignty, privacy-preservation, residency, classification, egress control, minimization, and policy enforcement across local, cloud, and hybrid systems.
Defines event sourcing, CQRS, durable state machines, replay, idempotency, ordering, reconciliation, and evidence-preserving state transitions.
Defines tamper-evident ledgers and evidence bundles using cryptographic linking, provenance, signatures, retention, verification, and chain-of-custody controls.
Companions
Field guides, living guides, and portfolio editions that decompose or consolidate the MYTHOS-DAT standards.
A database engineering guide comparing data models, transactions, indexing, query planning, replication, sharding, search, vector similarity, temporal data, operations, and polyglot persistence.
A state-engineering guide covering domain state, invariants, state machines, events, event sourcing, projections, CQRS, commands, concurrency, snapshots, durable execution, compensation, migration, and verification.
A data-protection guide covering block, file, object, checksummed storage, indexing and search, lifecycle tiers, snapshots, backups, immutability, archives, retention, restore, disaster recovery, ransomware resilience, and evidence.
An observability-engineering guide covering telemetry design, resources, traces, metrics, logs, events, baggage, semantic conventions, OTLP, collector pipelines, sampling, enrichment, routing, storage, privacy, reliability, and governance.
A site-reliability guide covering user-centered reliability, SLIs, SLOs, error budgets, risk, toil, capacity, performance, alerting, incidents, change safety, resilience testing, disaster recovery, and reliability governance.
An evidence-engineering guide covering event identity, provenance, signed statements, hash chains, Merkle logs, transparency services, receipts, attestations, audit trails, time, custody, privacy, verification, retention, and incident use.
A data-control guide covering sovereignty, privacy engineering, data mapping, local-first architecture, offline-first state, CRDTs, synchronization, access control, key ownership, egress policy, deletion, cross-border flows, and user agency.
A comprehensive guide to data models, databases, authoritative state, event sourcing, CQRS, storage, search, backup, observability, SRE, evidence systems, privacy, sovereignty, and recovery.
Candidate status describes publication review state. It does not establish certification, legal compliance, implementation conformance, benchmark reproduction, or product readiness.