How do I install @thingd/sdk?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does @thingd/sdk need an API key?

No required environment variable is listed on this record.

What transport does @thingd/sdk use?

@thingd/sdk runs locally over stdio.

When was @thingd/sdk last checked?

Last checked 2026-10-28. A fast object-first data engine for applications and AI agents.

เซิร์ฟเวอร์ MCP @thingd/sdk

thingd

Thingd — the open-source engine for managing your things.

An object-first data engine for applications and AI agents.

🌐 sayanmohsin.github.io/thingd — landing page ☁️ thingd.cloud — managed cloud

thingd is a high-performance object-first data engine built for modern applications and AI agents. It combines persistent storage, durable queues, event streams, full-text search, and MCP-native access into a single system that can run embedded, standalone, or in a cluster.

thingd stores versioned JSON objects in collections, with built-in durable queues, append-only event streams, and full-text search — no stitching together separate infrastructure. The same API works in-memory, persisted locally, or connected to a remote sidecar.

Connector boundary

Thingd connectors import data from external sources into Thingd. The public connector contract advertises validate, discover, preview, and pull operations. Thingd itself is fully read/write for its own objects, events, queues, links, vectors, and indexes, but public connectors do not edit the original external source.

The public google-sheets connector reads a public Google Sheets CSV export URL. Authenticated Google Sheets OAuth access and writing rows back to a spreadsheet are Thingd Cloud responsibilities, where credentials, tenant permissions, approvals, auditing, retries, and conflict handling are managed.

Native persistent storage optionally supports authenticated encryption through THINGD_ENCRYPTION_KEY (64 hexadecimal characters). Encrypted databases require the key on reopen and filesystem backups remain encrypted.

ThingDB: an embedded Rust key-value database

ThingDB is an experimental embedded key-value database written in Rust. Its standalone crate provides ordered byte-key keyspaces, atomic batches, snapshots, prefix and range scans, and two storage modes: process-local RAM and an experimental WAL-backed durable format. It is a storage engine, not a SQL server or a replacement for Thingd's object, event, queue, and search APIs. Start with the ThingDB API guide.

ThingDB RAM creates no database files and loses all data when the process exits. Durable ThingDB syncs its WAL before acknowledging successful writes, but its on-disk format is experimental and is not compatible with RocksDB. Do not rely on it as the only copy of important data.

ThingDB in Thingd

Thingd uses ThingDB RAM for disposable native/server in-memory operation. RocksDB remains the default durable backend; durable ThingDB is opt-in for evaluation and uses a separate format. Thingd's semantic layer supplies objects, events, queues, links, vectors, and search above its storage engines. The crate's MemoryCache is a separate bounded TTL/LRU cache, not the full Thingd RAM database. In the Node SDK, the native addon uses ThingDB RAM for :memory: when available; the portable TypeScript driver is used when it is not, and browser/edge runtimes use that portable implementation.

The storage backend guide explains Thingd's runtime choices. The benchmark guide separates raw key/value database comparisons from Thingd semantic workloads. Comparable cross-database results are pending; no general speed claim is made.

Status

thingd is in early-to-mid stage prototype (0.x track). The core engine, SDK, CLI, and MCP server are functional and tested, but the project is not production-ready yet.

See the public documentation index for released engine capabilities. Cloud-only planning is maintained privately.

Shipped

Rust engine (thingd — crates.io) — memory + persistent adapters, opt-in authenticated persistent encryption, Tantivy FTS, cosine vector search, queue lifecycle, graph links, aggregate analytics, NLQ
Node.js SDK (@thingd/sdk) — three drivers: memory (explicit pure-TS reference store), native (napi-rs Rust engine with ThingDB RAM for :memory: and RocksDB durable storage by default), cloud (remote HTTP REST)
Browser/Edge client (@thingd/client) — zero-dependency REST client for browsers, Cloudflare Workers, AWS Lambda, Bun, Deno
App backend client (createThingdAppClient) — project-user auth and canonical actions for hosted mobile/web apps
CLI (@thingd/cli) — TUI dashboard, 30+ subcommands (search, objects, events, queues, export/import/snapshot/backup, doctor, bench, db maintenance). Support for importing from Postgres/MySQL via sidecar REST.
Optional schema files — custom schema.thingd syntax, Rust parsing, validation, canonical JSON, and stable schema hashes via thingd schema check.
Provider-neutral replication — synchronize one explicit Thingd source to one replica, including objects, deletes, tombstones, events, cursors, snapshots, provenance, and quarantined conflicts.
MCP server — 51 SDK tools, stdio + Streamable HTTP, audit events, collection allowlists, and read-only mode; the Rust sidecar exposes 41 core tools (scheduler tools are SDK-only)
Docker — multi-stage image, compose + K8s for leader/follower cluster
CI/tooling — Release Please, biome, lefthook, doc tests, cargo audit, cargo deny, CodeQL

What's next

HNSW/ANN vector indexing for larger datasets; durable vector search is currently a brute-force cosine scan
Continued ThingDB RAM performance and memory validation; the RAM path remains experimental and does not change the RocksDB durable default
Additional deployment integrations and operational hardening
Browser and edge runtime packaging via WASM

For browsers, edge runtimes, and non-Node.js environments, use the standalone @thingd/client package — a zero-dependency REST client.

For a mobile or web app without a custom application backend, use createThingdAppClient with a Cloud publishable key. The Nice Rep CLI-first guide documents project and instance setup, nice-rep.app.json, schema.thingd, Publish lifecycle commands, Expo configuration, and the public release order. The app backend contract defines the immutable project/app/instance snapshot, canonical actions API, compatibility functions alias, routes, and headers.

Entry point	Driver	Protocol
`ThingD.open()` (Node.js)	memory / native / cloud	In-process / napi / HTTP REST
`@thingd/client` (browser/edge)	cloud	HTTP REST
`thingd mcp` / `mcp-http`	native	stdio MCP / Streamable HTTP

Technology stack

Rust — core engine, durable runtime, and sidecar server
TypeScript / Node.js — SDK, browser client, and CLI
RocksDB — default durable storage backend
ThingDB — experimental Rust-native RAM and opt-in durable backend under validation
Tantivy — persistent full-text search with BM25 ranking
MCP — agent-facing tools over stdio and Streamable HTTP
CLI — dashboard, administration, diagnostics, and database operations

Why thingd?

Traditional relational databases are excellent at relational workloads. Thingd provides a friendlier object-first layer for applications that need storage, search, queues, events, and MCP access together.

Modern app workflows commonly need to:

store object-shaped records without designing relational tables first
search memory semantically and by keyword
keep an append-only history of decisions, events, and changes
run background jobs for embeddings, summarization, indexing, and tool calls
coordinate multiple workers or pods with leases and retries
expose safe read/write tools through MCP
keep local state portable and inspectable

thingd aims to provide those primitives as a tiny local runtime.

See docs/why-thingd.md for the full rationale, use cases, and when to skip.

What thingd is

thingd is intended to be:

an open source Apache-2.0 project
an object-shaped local data layer for apps
a searchable memory store
a durable queue engine for background jobs
an event log for timelines and audit trails
a search layer across text, metadata, and vectors
an MCP server for controlled programmatic access
a Rust core with a friendly TypeScript/Node.js SDK
a sidecar/server runtime shape for Kubernetes-style deployments

What thingd is not

thingd is not trying to replace mature databases.

It is not:

a full Postgres replacement
a magic multi-primary relational database clone
a Redis replacement for massive distributed workloads
a hosted vector database
a finished production system today

The goal is a practical local-first engine for small and medium apps, devtools, internal tools, edge deployments, and persistent memory systems.

thingd Cloud

thingd.cloud is the managed hosted version of thingd. Create projects, issue API keys, and connect agents to hosted thingd instances through an HTTPS MCP endpoint with audit logging, scoped access control, and tenant isolation. Same engine, zero infrastructure to run.

Cloud is the protected/default hosted provider, not an engine dependency. For replication, configure source and replica roles explicitly; local-to-cloud writes require an explicitly selected instance, an allowed Cloud policy, and operator confirmation. See the replication guide.

Core primitives

thingd
  docs        object-shaped JSON records
  events      append-only timelines and audit trails
  search      full-text, metadata, and vector-ready retrieval
  queue       durable jobs, retries, leases, delays, and DLQ
  graph       links between objects, memories, sources, and decisions
  locks       leases for multi-worker and multi-pod coordination
  workflow    DAGs for multi-step background jobs and pipelines
  cache       semantic cache for model/tool outputs
  ledger      tool-call history, latency, cost, and replay data
  snapshots   compaction summaries linked to raw events
  mcp         programmatic tools and resources

Installation

npm (SDK)

npm install @thingd/sdk

Rust (crate)

[dependencies]
thingd = { version = "0.92", features = ["persistent", "search"] } # x-release-please-version

Subpath imports

// Full SDK (Node.js: MCP + REST + stores + native binding)
import { ThingD } from "@thingd/sdk";

// HTTP REST client (Node.js, Bun, Deno)
import { HttpThingStore, openThingD } from "@thingd/sdk/client";

// Pure in-memory store (browser + Node.js, zero dependencies)
import { InMemoryThingStore, openMemoryThingD } from "@thingd/sdk/memory";

// Types only (for type-safe dependency injection)
import type { ThingDConnection } from "@thingd/sdk/types";

// Zero-dependency client for browser/edge (npm install @thingd/client)
import { ThingdClient } from "@thingd/client";

Docker (sidecar runtime)

docker pull sayanmohsin/thingd
export THINGD_AUTH_TOKEN="$(openssl rand -hex 32)"
docker run -p 127.0.0.1:8757:8757 \
  -e THINGD_AUTH_TOKEN \
  -e THINGD_ALLOW_UNAUTHENTICATED=false \
  sayanmohsin/thingd

See the Docker Hub page for all tags and deploy/docker-compose.yml for production configuration.

Example API

This is the target developer experience.

import { ThingD } from "@thingd/sdk";

const db = await ThingD.open(":memory:");

await db.put("decisions", {
  id: "rust-core",
  text: "Use Rust for the core engine and TypeScript for the developer API.",
  project: "thingd",
  confidence: 0.9,
});

const decision = await db.get("decisions", "rust-core");

await db.events.append("project:thingd", {
  type: "decision.made",
  text: "thingd will be object-shaped and MCP-native.",
  actor: "sayan",
});

await db.queue("embed").push({
  object: "decisions/rust-core",
});

const hits = await db.search("why did we choose rust?", {
  collections: ["decisions"],
  limit: 5,
});

For the local Rust-backed persistent path, build the native package and request the native driver:

pnpm --filter thingd-native build

const db = await ThingD.open({
  path: "./thingd.db",
  driver: "native",
});

For sidecar mode, point the SDK at the HTTP REST endpoint:

THINGD_URL=http://127.0.0.1:8757
THINGD_AUTH_TOKEN=<strong-random-token>

const db = await ThingD.open();

Or configure it explicitly:

const db = await ThingD.open({
  url: "http://127.0.0.1:8757",
  driver: "cloud",
  authToken: process.env.THINGD_AUTH_TOKEN,
});

Object storage

Objects are stored as JSON-like records grouped by collection.

await db.put("customers", {
  id: "cus_123",
  name: "Acme",
  plan: "pro",
  metadata: {
    region: "us-east",
    owner: "sales",
  },
});

Objects should be:

easy for app code to mutate
easy for tools and scripts to read
indexable by metadata
convertible into searchable text
linkable to events, jobs, and other objects

The intended internal shape is:

object id
collection
JSON body
text representation
metadata
timestamps
source
links
version

Events and timelines

Every meaningful mutation can produce an event. Events make memory easier to understand and audit.

await db.events.append("customer:cus_123", {
  type: "plan.changed",
  text: "Customer upgraded from starter to pro.",
  from: "starter",
  to: "pro",
});

Events are useful for:

audit trails
activity timelines
rebuilding indexes
sync and replication
answering questions like "what changed?" or "why did this happen?"

Querying objects

List objects with filtering, sorting, limit, and offset:

// Filter by field value
const active = await db.listObjects("tasks", { filter: { status: "active" } });

// Sort by field
const sorted = await db.listObjects("tasks", { sortBy: { field: "created_at", direction: "desc" } });

// Paginate
const page1 = await db.listObjects("tasks", { limit: 10, offset: 0 });
const page2 = await db.listObjects("tasks", { limit: 10, offset: 10 });

Batch operations

Bulk create or delete objects in a single call:

// Batch create
const results = await db.putBatch("tasks", [
  { id: "task-1", title: "Implement search" },
  { id: "task-2", title: "Add graph links" },
  { id: "task-3", title: "Write docs" },
]);

// Batch delete
const deleted = await db.deleteBatch("tasks", ["task-1", "task-2"]);

Graph links

Create directed relationships between any two references:

// Create a link
const link = await db.links.create("users/alice", "authored", "docs/readme");

// Query neighbors
const outgoing = await db.links.neighbors("users/alice", "Outgoing");
const incoming = await db.links.neighbors("docs/readme", "Incoming");

// Filter by link type
const authored = await db.links.neighbors("users/alice", "Outgoing", { linkType: "authored" });

// Count all links
const count = await db.countLinks();

Durable queues

thingd includes queue primitives because apps constantly need background work:

chunk a document
create embeddings
summarize a thread
retry a failed tool call
rebuild a search index
compact old memory
run a background task

Target API:

const queue = db.queue("embed");

await queue.push(
  { object: "docs/doc_123" },
  {
    idempotencyKey: "embed:docs/doc_123:v1",
    maxAttempts: 5,
    delayMs: 0,
  }
);

const job = await queue.claim({
  leaseMs: 30_000,
});

if (job) {
  try {
    await embedDocument(job.payload.object);
    await queue.ack(job.id);
  } catch (error) {
    await queue.nack(job.id, {
      delayMs: 5_000,
      error: error instanceof Error ? error.message : String(error),
    });
  }
}

const deadLetters = await queue.dead();

Queue semantics:

at-least-once delivery
leases / visibility timeouts
explicit ack and nack
retries with backoff
dead-letter queue
delayed jobs
idempotency keys
worker heartbeats
priority queues later

thingd should make the safe path obvious: jobs may run more than once, so consumers should be idempotent.

Search

Search should be hybrid by design.

keyword / full-text search
+ metadata filters
+ graph links
+ vector similarity
+ permission filters

Target API:

const hits = await db.search("customers who upgraded after a failed deployment", {
  collections: ["customers", "events"],
  filter: {
    plan: "pro",
  },
  limit: 10,
});

Current behavior: Persistent full-text search uses Tantivy BM25 ranking and supports exact metadata filters. Collection and metadata filters are applied before the requested result limit. Recency-weighted ranking and permission filters are not currently part of the search API.

MCP-native access

thingd ships with 51 SDK MCP tools (search, objects, events, queues, links, aggregate, schema, NLQ, vector). Every primitive is accessible through stdio or Streamable HTTP — see the MCP tools reference for all tools with schemas and examples.

# Auto-configure Claude Desktop / Cursor for local sidecar
thingd install

# Connect to a remote thingd instance
thingd mcp --driver native

# Optional local encrypted storage; the key stays outside MCP configuration
THINGD_ENCRYPTION_KEY=<64-hex-characters> thingd mcp --driver native

# Connect to thingd Cloud
thingd mcp connect

MCP is one access layer — not the product. You can use thingd entirely through the Node.js SDK, CLI, or REST API without ever touching MCP.

See docs/mcp-server.md for hardening, env vars, cluster bridge, and the full MCP reference.

REST API

thingd also exposes a REST API under the /v1 prefix on the same port, for apps that prefer HTTP over MCP:

# health check
curl http://localhost:8757/v1/health

# put an object
curl -X PUT http://localhost:8757/v1/objects/users/user-001 \
  -H "Content-Type: application/json" \
  -d '{"name": "Alice", "role": "admin"}'

# search
curl -X POST http://localhost:8757/v1/search \
  -H "Content-Type: application/json" \
  -d '{"query": "alice"}'

# list objects with filter and sort
curl "http://localhost:8757/v1/objects?collection=users&filter.role=admin&sortBy=created_at&sortDir=desc"

Full REST reference: docs/api-spec/rest-api.md

Sidecar and cluster mode

The long-term deployment model has two simple modes:

embedded:
  Node app -> native Rust binding -> persistent storage directory

sidecar:
  Node app -> localhost thingd sidecar -> persistent storage directory

Cluster mode should be owned by the sidecar, not by app code:

Pod A thingd sidecar = leader
Pod B thingd sidecar = follower, forwards writes
Pod C thingd sidecar = follower, forwards writes

Apps keep using ThingD; deployment decides whether ThingD.open() uses an embedded store or connects to THINGD_URL.

const db = await ThingD.open();

With THINGD_URL set, this uses the remote SDK driver and talks to the local sidecar over HTTP REST.

Native and standalone runtimes ship the durable backend in the Thingd artifact; RocksDB remains the default and the experimental Rust-native ThingDB backend can be selected with THINGD_STORAGE_BACKEND=thingdb. Node.js consumers normally receive a prebuilt native addon and do not install RocksDB, LLVM, or Clang locally. No database service or database container is required. Memory mode remains process-local. Current releases do not open or automatically convert legacy native directories; see Storage backends for the supported format rules.

See docs/mcp-server.md for the bridge environment, docs/runtime-env.md for all env vars, and the deploy examples for Kubernetes and proxy shapes.

Multi-pod direction

The honest multi-pod stance:

thingd should not pretend local files magically support many pods writing to the same database file.

The practical path is:

v1: embedded local mode
v2: sidecar/server mode with one primary writer
v3: many Node consumers using leases
v4: local read replicas
v5: tenant or queue partitioning
v6: consensus only if demand proves it is worth the complexity

For queues, multi-pod coordination is handled with leases:

ready job -> claimed by one worker -> ack
ready job -> claimed by one worker -> worker dies -> lease expires -> retry
ready job -> too many failures -> dead-letter queue

For local object memory, the first distributed design should be primary-writer plus read replicas, not multi-primary writes.

Architecture

Node.js / Browser / Edge app
  |
  | @thingd/sdk  |  @thingd/client  |  thingd mcp
  | (Node SDK)   |  (HTTP REST)     |  (MCP tools)
  v
thingd-server (Rust sidecar) or thingd.cloud
  |
  | HTTP REST (/v1/*)  |  MCP (/mcp)
  v
Rust core (crates/thingd)
  |-- object store
  |-- event log
  |-- queue engine
  |-- search indexes (Tantivy FTS + vector index)
  |-- storage adapters
      |-- ThingDB RAM (default native/server memory mode)
      |-- MemoryEngine (reference, cache, WASM)
      |-- PersistentEngine (durable local storage)

Package layout:

crates/
  thingd/            Rust engine primitives
  thingd-server/     Rust sidecar binary (REST + MCP + cluster)

packages/
  thingd/            Node.js SDK (@thingd/sdk)
  thingd-client/     Zero-dep REST client (@thingd/client)
  thingd-native/     Native Node.js binding (napi-rs to Rust engine)
  thingd-cli/        Interactive Dashboard, JSON CLI, & MCP servers

examples/
  node-basic/         Minimal Node.js example
  nestjs-basic/       NestJS API example
  bun-hono/           Bun + Hono + HTTP REST example

Full documentation: docs/

Examples

cursor-agent-memory — 5-minute quickstart, .cursorrules, scheduler heartbeat, and MCP registration for Cursor and Claude Desktop.
Node basic shows the intended SDK shape.
NestJS basic shows how thingd can sit behind a normal NestJS module, service, and controller setup.

Use Cases

Clipboard History — Search your clipboard through MCP tools, backed by thingd objects and full-text search.
Screenshot OCR Pipeline — Queue-based OCR pipeline with searchable text extraction.
Desktop Agent — Frontend-less task manager with queue-based reminders.
Cross-Device Sync — Sync bookmarks and data across devices using thingd.cloud REST API.

Quickstart guide: docs/quickstart.md

Local testing without npm publish

You can test the Node.js package locally before publishing anything to npm.

From the repository root:

pnpm install
pnpm build
pnpm test:node
pnpm test:package

pnpm test:package builds thingd, creates a local package tarball, installs that tarball into a temporary app, imports the package, and runs a smoke test. This is the closest local check to "will this work after npm publish?" without publishing anything.

The included examples can consume the local package through the workspace/file dependency. For the NestJS example:

cd examples/nestjs-basic
pnpm start:dev

For a separate Node.js app outside this repository, install the local package by path:

pnpm add /path/to/thingd/packages/thingd

Or add it to that app's package.json:

{
  "dependencies": {
    "@thingd/sdk": "file:/path/to/thingd/packages/thingd"
  }
}

Publishing to npm is only needed once you want other machines or users to install the package normally.

Tooling and standards

Project conventions live in checked-in files so this repo stays easy to work on:

biome.json controls TypeScript, JavaScript, and JSON formatting/linting.
rustfmt.toml controls Rust formatting.
Cargo.toml defines workspace Rust and Clippy lints.

Documentation: see docs/ for quickstart, MCP server reference, API spec, agent setup, patterns, FAQ, and architecture.

Useful commands:

pnpm verify:local
pnpm check
pnpm check:write
pnpm test:local
pnpm test:cli
pnpm verify:pr
pnpm rust:fmt:check
pnpm rust:clippy
pnpm test

pnpm verify:local is the fast pre-push gate. pnpm verify:pr runs the complete Rust, SDK, package, CLI, and documentation validation used for a PR.

Rust checks run all crate features, including the persistent adapter:

pnpm rust:check
pnpm bench:rust
pnpm bench:rust:smoke
pnpm test:rust

Releases

thingd uses Release Please to create a versioned release PR from conventional commits. Merging that PR creates the tag and publishes the npm packages, Rust crate, and Docker images.

See release.md for the full release process, required secrets, native prebuild workflow, and troubleshooting.

Before enabling publish, run:

pnpm verify:pr
pnpm test:publish-manifests

Comparison

Tool	Great at	Why thingd is different
MongoDB	flexible documents	local-first tiny binary, Rust core, MCP-native, built-in queues
Redis / BullMQ	fast queues and workers	durable local engine with persist, same API for queues + storage
Postgres job queues	reliable jobs on Postgres	lighter local deployment, no connection pool needed
LanceDB / vector DBs	vector search	broader engine: vectors + objects + queues + events + graph
MCP servers	exposing tools to clients	storage engine designed around MCP from the start
RedDB	multi-model database	MIT/Apache open source, pure Rust, pluggable backends

Development

Development planning and phase tracking is maintained in the private thingd-cloud repo.

Start with the local Node/package gate:

git clone https://github.com/sayanmohsin/thingd.git
cd thingd
pnpm install
pnpm test:local

Design principles

Keep the local developer experience simple.
Prefer boring durable storage under the hood.
Expose object-shaped APIs to apps and services.
Make every important mutation explainable through events.
Treat vector search as one retrieval signal, not the whole memory system.
Use at-least-once queues and make idempotency easy.
Be honest about distributed systems tradeoffs.

License

thingd is open source under the Apache-2.0 license. See LICENSE.

Author

Built by Sayan Mohsin in Toronto, Canada.

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