Packages

Comprehensive configuration and plugin repository for Claude Code and OpenAI Codex. Bundles 16+ pre-built plugins (Azure, GitHub, Slack, Linear, MongoDB, Supabase, Playwright, etc.), custom skills, agents, hooks for auto-formatting, and MCP server integrations. Also supports alternative LLMs via proxy configurations.

LLM evaluation platform providing the DeepEval open-source testing library plus Confident AI cloud for evaluation management, regression testing, and production monitoring. DeepEval supports 15+ LLM evaluation metrics (RAG metrics, hallucination, answer relevancy, faithfulness, G-Eval). REST API and Python SDK for running evaluations, tracking test runs, and monitoring production LLM quality.

Fully managed Apache Kafka cloud service with REST Admin API, Schema Registry, and Kafka Connect for real-time event streaming pipelines.

Universal semantic layer for data applications. Cube sits between your data warehouse and BI tools/applications, providing a consistent metrics definition layer. Define business metrics (revenue, DAU, conversion rate) in JavaScript/TypeScript once, and expose them via REST API, GraphQL, or SQL to any consuming tool. Cube handles caching, pre-aggregations, access control, and multi-tenancy. Also includes Cube Cloud for managed deployment.

Programmable video and voice calling API built on WebRTC. Provides REST APIs to create and manage rooms, prebuilt embeddable UI components, client SDKs for custom UI, server-side recording and transcription, and deep integration with real-time AI voice agents via the Pipecat framework.

Open-source LLM application development platform combining visual workflow builder, RAG pipeline, agent orchestration, and production deployment. Dify covers the full LLM app lifecycle: build (visual or code), test, deploy, and monitor. Includes built-in prompt management, conversation memory, document knowledge bases, and LLM observability. Every Dify app exposes a REST API. More feature-complete than Flowise — includes a text generation app type, chatbot app, agent app, and workflow app.

Open-source ML and LLM evaluation and monitoring framework with a cloud API that generates data quality, drift, and model performance reports — enabling agents to evaluate datasets, detect distribution shift, and monitor ML and LLM systems in production.

Full-featured HTML5 canvas library with SVG parsing, object model, and serialization. Fabric.js adds object-oriented abstraction over canvas with built-in support for images, text, paths, groups, and SVG import/export. Known for its powerful image editing capabilities — filters, transformations, multi-select, copy/paste, undo/redo. Used in online design tools, photo editors, and whiteboard applications.

Google's UI toolkit for building natively compiled applications for mobile (iOS/Android), web, and desktop from a single Dart codebase. pub.dev is the Dart/Flutter package registry with a REST API for package metadata, search, and version information.

Topic modeling and document similarity library for Python — train and use Word2Vec, FastText, Doc2Vec, and LDA topic models. Gensim features: Word2Vec.train() for word embeddings, wv.most_similar() for nearest words, wv.similarity() for cosine similarity, FastText for subword embeddings (handles OOV), Doc2Vec for document-level embeddings, LdaModel for topic discovery, TfidfModel, corpora.Dictionary for vocabulary, corpora.MmCorpus for streaming large corpora, similarities.SparseMatrixSimilarity for document retrieval, and downloader API for pretrained models. Classic NLP library for training embeddings on domain-specific text when general pretrained models underfit.

Manages Google Cloud identity and access control — assigns primitive/predefined/custom roles to principals, manages service accounts, configures workload identity federation, and evaluates IAM policies across the GCP resource hierarchy for AI agents automating cloud security posture.

Google's fully-managed enterprise cron job service for scheduling recurring HTTP, Pub/Sub, or App Engine requests on a defined schedule, with configurable retry and timezone support.

REST API for programmatically reading Google Forms structure and responses, and creating or modifying forms, enabling automated survey data collection, response processing, and form management within Google Workspace.

Modern spreadsheet-database hybrid with full Python formula support, granular access control, and a REST API. Grist combines spreadsheet UX with relational database structure — tables with typed columns, formula columns (Python or JavaScript), linked tables, and summary tables. REST API enables programmatic CRUD on Grist documents, making it a structured data store with spreadsheet-style views for human collaboration. Used as a lightweight internal database, CRM, or project tracker with an API for agent integration.

Hashnode — developer blogging platform with a GraphQL API for creating, publishing, and managing blog posts, enabling agents to programmatically publish technical content to the developer community.

Hosted inference for 100,000+ open-source ML models including LLMs, embeddings, image generation, audio, and specialized NLP tasks via a unified REST API. Dedicated Endpoints provide production-grade isolated GPU inference.

Instagram MCP server enabling AI agents to interact with Instagram — posting images and reels, reading comments and DMs, accessing follower analytics, scheduling content, and integrating Instagram into agent-driven social media management and content marketing workflows via Instagram Graph API or unofficial access.

Converts any public URL to clean, LLM-readable Markdown by prepending r.jina.ai/ to the URL. Handles JavaScript-rendered pages, strips navigation/ads/boilerplate, and returns structured text optimized for LLM context. Supports screenshots, link extraction, and streaming. Free for basic use; API key unlocks higher rate limits and advanced features.

Cloud platform for building stateful, long-running AI agents with built-in persistent memory, multi-step task execution, and tool integration — defined via YAML workflows.

Kontent.ai REST and Management APIs for headless content management platform. Enables AI agents to query and deliver structured content, manage content items and types, trigger content workflows, and integrate Kontent.ai into omnichannel publishing pipelines. Kontent.ai supports structured content modeling with strong editorial workflow capabilities.