AI Agent Frameworks

Low-level primitives that provide the flexibility needed for fully customisable agents. Design diverse control flows — single, multi-agent, hierarchical — all using one framework.

The Multi-Agent Platform — streamline workflows across industries with powerful AI agents. Build and deploy automated workflows using any LLM and cloud platform.

Straightforward library for building agentic applications where a model can use additional context and tools, hand off to other specialised agents, stream partial results, and keep a full trace.

Microsoft's open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks — flexible and research-friendly.

Managing autonomous agents at scale with full lifecycle management and observability — enabling teams to deploy, monitor, and improve agents in production.

The open-source AI framework for production-ready agents, RAG, and context engineering — built by deepset for teams that need reliability at scale.

Connecting LLMs with structured and unstructured data sources for intelligent data retrieval — the go-to framework for building knowledge-augmented AI applications.

Lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into C#, Python, or Java codebases — efficient middleware for enterprise-grade solutions.

Building advanced workflows with AI components for chatbots and automation — the foundational framework that brought composable AI pipelines to developers worldwide.