Browse Kotlin Multiplatform libraries

Open, lightweight event-based protocol standardizing agent-to-user application interactions, with transport-agnostic middleware, streaming real-time chat, bi-directional state sync, generative UI, structured messages, and tool integrations.

Framework designed for building AI agents with tool interaction, complex workflows, semantic search, and persistent memory. Offers modular architecture, real-time processing, and comprehensive tracing.

Visual workflow automation running entirely locally with drag-and-drop builder, fully typed data lineage, ultra-fast native execution, AI-native orchestration, white-label embedding, and comprehensive audit trails.

AI-powered mobile testing framework enables authoring and executing tests using natural language, supports on-device execution, offers custom agent tools, and provides detailed reporting with Maestro integration.

Integrates modern AI capabilities, including large language models and image generation, into applications. Offers core libraries for essential AI services and complementary library integrations, inspired by LangChain and Hugging Face projects.

Code-first toolkit for building, evaluating, and deploying sophisticated AI agents; offers rich tool ecosystem, modular multi-agent orchestration, built-in development UI and cloud integrations.

Implements Agent Client Protocol for integrating AI agents, supporting client and agent capabilities, standardized AI interface, JSON-RPC handling, session management, and file operations. Includes examples and STDIO transport communication.

Compiler-driven framework builds clients and servers using the Model Context Protocol, implementing JSON-RPC handlers, schema metadata, and lifecycle management. Features resource exposure, parameterized prompts, and transport logging.

Generates JSON Schema for serializable classes, enabling seamless integration with AI agents and large language models. Supports automatic instantiation from JSON input, facilitating complex data structure development.

Implements the Agent2Agent protocol, offering modules for server-client communication, task handling, and Redis-based storage. Supports task lifecycle management and streaming responses.

Empowers developers to create and manage AI agents with a streamlined DSL, offering error handling, logging, and integration with the ecosystem to transition from PoC to production.

Single-block agent runtime orchestrating LLM conversation, native device tools and phases; streams tokens to Compose UI, enforces guardrails with confirmations, audit logging, circuit breakers and shared state.

Adapts Model Context Protocol to enable automatic MDC-compatible JSON Schema generation from serializable classes, overcoming limitations in expressing JSON Schema definitions.

Renders and inspects @Preview composables on-device or headless, offering pixel-accurate screenshots, interactive inspector, rich hierarchy/semantics extraction, accessibility checks, and AI agent integration.

High-performance LLM application layer offering runtimes and CLI tools for Llama, Gemma, Qwen and BERT models; safetensors model loading and hardware-accelerated inference.

Versioned shared backbone for apps: published libraries (MVI runtime, design system, image), unified build and style tooling, and Claude Code AI assets that teach assistants to adopt and use conventions.

Multifaceted AI tooling library delivering typed agent and tool contracts, streaming text and structured outputs, provider/gateway adapters, embeddings and media primitives, telemetry, mocks, and utilities.