Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers.
The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, checkpoint-based state persistence for pausing and resuming workflows, and human-in-the-loop interrupt mechanisms for manual approvals.
The project covers a wide range of capability areas, including RAG pipeline implementation with semantic tool retrieval and document processing. It provides standardized component abstractions for model integration, a middleware-based interception system for observability and tracing, and tool integration for filesystem and shell command execution.
Agent runtimes can be exposed as external services using HTTP and Server-Sent Events for real-time streaming communication.