Server-authoritative, offline-first SQL sync you can operate. Clients keep a real local SQLite database (OPFS in the browser, native SQLite elsewhere), writes go through an optimistic outbox, and one ordered commit log on the server stays the source of truth.
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bun create syncular-app my-app- Spec-first:
SPEC.mdis normative andspec/vectors/are golden fixtures; when spec and code disagree, the code changes. Two cores (TypeScript and Rust) are kept in lockstep by an implementation-agnostic conformance suite. - Test doctrine: loopback in-memory transport for integration scenarios;
fault injection at the transport interface; tests wait on explicit readiness
signals (sleeps are banned); real-socket tests few and quarantined. See
packages/conformance. - One good path: the browser persists to OPFS and reports unsupported environments as errors; sync runs over the WebSocket.
| Path | What it is |
|---|---|
packages/core |
Protocol codecs, shared types, vector round-trip |
packages/server |
handleSyncRequest(bytes, ctx) + storage/auth interfaces (SQLite, Postgres, D1) |
packages/server-hono, packages/server-workers |
Framework bindings (Hono, Cloudflare Workers) |
packages/web-client |
@syncular/client: TS client core on @sqlite.org/sqlite-wasm |
packages/react |
React hooks over the client |
packages/typegen |
Schema IR + TypeScript emitter, named queries (cargo-free) |
packages/crypto, packages/crdt-yjs |
Per-column E2EE primitives, Yjs CRDT mergers |
packages/testing |
@syncular/testkit: in-memory loopback of real server + clients |
packages/conformance |
Scenario runner both cores must pass |
rust/ |
The Rust client core and its C-ABI FFI crate |
bindings/ |
Tauri, React Native, Swift, Kotlin, Flutter |
apps/docs |
The docs site (syncular.dev) |
bun install
bun run check # typecheck + lint + testRead AGENTS.md first. The doctrine in it (spec-first, no
fallbacks, no timers in tests, cross-core parity) applies to human and
machine contributors alike.
On AI assistance: LLMs are welcome for tests, reproductions, benchmarks, docs, and production code. Review, understand, and iterate on everything you submit, and be ready to defend every line; production code gets the strictest review. In syncular's own development, LLM assistance is used mainly for writing tests and iterating over technical concepts, under that same review bar. Low-effort machine-generated PRs, issues, and comments are closed without comment. The full policy and the plain-text docs bundle for agents live at syncular.dev/llms.