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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.

TypeScript toolkit for building AI applications with model providers, streaming UI, tools, agents, and framework adapters.

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.

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.