via “agentic workflow orchestration with tool invocation and iterative reasoning”
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and
Unique: Implements agents as explicit pipeline loops where tool selection is driven by LLM reasoning over typed tool schemas. Unlike LangChain's AgentExecutor (which uses string-based action parsing), Haystack uses structured function-calling APIs natively, reducing parsing errors and improving reliability.
vs others: More transparent than AutoGPT/BabyAGI because the agent loop is explicit and debuggable; more flexible than simple tool-calling because it supports multi-step reasoning and custom tool orchestration logic.