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Effect modules for working with AI apis

Synchronised storage contract implementation and REST endpoint definitions

A high-throughput and memory-efficient inference and serving engine for LLMs

Entity Storage connector implementation using synchronised storage

Implementation of the NFT connector using entity storage

MinerU output linter/fixer — LLM tool-use loop that restructures (never generates) MinerU content_list. Machine-verified fidelity: C_out ⊆ C_in.

This package contains compatibility with Dragon NaturallySpeaking accessibility tools.

AskDB OpenAI provider adapter for @askdb/ai.

Local filesystem storage provider for Beignet

S3-compatible object storage provider for Beignet

GraphRAG knowledge base for codebases

SpreadJS drag merge module

심플리즘 패키지 - 저장소 (node)

심플리즘 패키지 - Capacitor USB 저장소 플러그인

Point-in-time correct LLM instrumentation: tracing, version pinning, and look-ahead-bias protection for research pipelines

Embedding providers (OpenAI, Ollama, bundled-WASM, hash-fallback) for Mneme

SpreadJS drag merge module

The **[AI SDK](https://ai-sdk.dev)** LangChain adapter provides seamless integration between [LangChain](https://langchain.com/) and the AI SDK, enabling you to use LangChain agents and graphs with AI SDK UI components.

This package provides a foundation for implementing providers that expose an OpenAI-compatible API.

The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.