Harnesses & SDKs

Python framework for generative AI agents, pipelines and parallel workflows, with RAG engines, tools, memory and swappable drivers.

All-in-one Python AI framework for embeddings-based semantic search, LLM pipelines, workflows and agents.

C# framework on .NET for building multi-agent AI bots with plugins, RAG, MCP integration and a built-in admin UI.

Kubernetes-native framework and runtime for building and running AI agents as Kubernetes custom resources.

Python framework for orchestrating multiple LLM agents in sequential, concurrent, hierarchical and graph-based workflows.

Modular Python agent framework with a tool-calling loop, context management, retrieval, persistent memory and MCP tools.

Go framework for multi-agent systems with graph workflows, tools, session memory, MCP, A2A, AG-UI and OpenTelemetry.

PHP framework for agentic applications with workflows, human-in-the-loop, MCP connectors, RAG and multi-provider LLM support.

Model-agnostic SDK for building agents and multi-agent systems in Python, .NET and Java; Microsoft names Agent Framework as its successor.

Python framework for agents that discover MCP tools by themselves, with optional memory, guardrails, cache and tracing.

Python interface for running and evaluating agents from several frameworks, with OpenTelemetry traces; now in soft deprecation.

TypeScript library that lets agents call MCP and UTCP tools by running model-written code in a sandbox.

Go framework for AI agents with memory, tool execution, MCP, agent skills, multi-agent patterns and evaluation.