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A practical walkthrough of real-time streaming in the Claude Agent SDK: enabling partial messages, reading StreamEvent text and tool-call deltas, the message flow, and building a streaming UI.

Lightweight open-source serving framework for building custom AI model inference APIs by defining a LitAPI with setup and predict methods, with batching, streaming, multi-GPU autoscaling, OpenAI-compatible endpoints, and support for compound, multimodal, RAG, and agent pipelines.

The official OpenSearch Project MCP server (opensearch-mcp-server-py) that lets AI assistants query and operate OpenSearch clusters — listing indices, reading mappings, running Query DSL and PPL searches, inspecting shards and cluster health — over stdio or streaming transports, with basic-auth, AWS IAM, and header-based authentication.

JetBrains incubator Kotlin and JVM agent framework for building predictable, fault-tolerant AI agents with graph workflows, tools, MCP integration, memory, streaming, OpenTelemetry, Spring/Ktor integrations, and multiple LLM providers.

Open-source agent engineering framework for building LLM applications with agents, model abstractions, tools, middleware, RAG, streaming, memory, MCP adapters, LangGraph-backed execution, and LangSmith observability hooks.

Open-source Python and TypeScript SDK for building model-driven AI agents with any model provider, MCP tools, streaming, multi-agent patterns, structured output, observability, hooks, guardrails, and production deployment guidance.

Modern data pipeline specialist focused on real-time streaming, ETL/ELT orchestration, data quality validation, and scalable data infrastructure with Apache Airflow, dbt, and cloud-native tools

A coding rule that makes Claude fluent in React Server Components — the React 19 component type that renders ahead of bundling, on a server or at build time. It guides async server components, the use client boundary, Suspense streaming, and Server Functions through the Next.js 15 App Router.

The official Mux MCP server (@mux/mcp) that gives AI agents access to the Mux API for video and analytics. It uses a "Code Mode" scheme — exposing a documentation-search tool and a code tool that runs agent-written TypeScript against the Mux SDK in an isolated sandbox — to work with Mux Video (assets, live streams, playback IDs, uploads) and Mux Data (viewer metrics and monitoring).

Connect Claude to Confluent Cloud and Apache Kafka — manage topics, produce and consume messages, run Flink SQL, and operate Schema Registry and connectors — with Confluent's official MCP server.

A coding rule that turns Claude into a React 19 concurrent-rendering specialist. It applies the documented React hooks — useTransition, useDeferredValue, useOptimistic, and Suspense — to keep interfaces responsive during heavy updates, stream server-rendered UI, and hydrate it selectively.

Apache-2.0 library for loading, sharing, streaming, inspecting, and preprocessing AI datasets from the Hugging Face Hub or local files.

MIT-licensed DataFrame query engine written in Rust for Python, Rust, Node.js, R, and SQL workflows with lazy execution, streaming, Arrow integration, and file, database, and cloud I/O.

Apache-2.0 Python framework for building visible, controllable, production AI agents and multi-agent services with event streaming, permission controls, workspaces, sandbox backends, middleware, MCP support, Mem0 memory, agent teams, and multi-tenant multi-session serving.

Open-source CLI and web ecosystem for recording, replaying, live streaming, sharing, and embedding terminal sessions as lightweight asciicast files.

Open-source Python library for structured LLM outputs using Pydantic response models, validation, retries, streaming, and provider adapters.