Awesome MCP › Agent Orchestration Platforms

deepset-ai/haystack

⭐ 26944 Python added to this list on 2026-08-03 repository created 2019-11-14

Haystack by deepset is a comprehensive open-source AI orchestration framework designed for developing and deploying production-ready Large Language Model (LLM) applications using Python. It emphasizes modularity and explicit control, allowing developers to construct sophisticated pipelines and agent workflows. Key functionalities include fine-grained management over information retrieval, data routing, memory management, and content generation. The framework is particularly suited for building scalable Retrieval-Augmented Generation (RAG) systems, multimodal applications, semantic search engines, question-answering systems, and autonomous agents. Haystack offers features like production-ready agents with lifecycle hooks for guardrails and custom logic, along with built-in tracking for step count, token usage, and tool calls to aid monitoring and cost control. It facilitates context engineering by providing flexible systems to explicitly control how information is retrieved, ranked, filtered, combined, structured, and routed before it reaches the LLM. The framework also supports progressive skill discovery for agents via `SkillToolset`, ensuring that skill descriptions are only loaded into context when necessary, optimizing performance and resource use. Haystack's transparent architecture promotes experimentation, deep customization, and confident deployment.

https://github.com/deepset-ai/haystack

agent-frameworkagentic-aiagentic-ragagentsaiai-agentscontext-engineeringframeworkgenaigenerative-aiinformation-retrievallarge-language-modelsllmmcpmulti-agentorchestrationpythonragretrieval-augmented-generationsemantic-search

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