Harnesses & SDKs

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.

Lightweight Python framework for composing AI agents and tools as small, typed pieces built on Instructor and Pydantic.

Python and TypeScript SDK that gives an AI agent a phone number, with pluggable LLM, speech and telephony providers.

Python framework for structured LLM outputs and agentic workflows built from tasks, agents and threads.

Open-source reinforcement learning framework that trains LLM agents on multi-step tasks using GRPO.

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

Python framework for backtesting and running trading strategies written as Python rules or AI agents, across brokers.

Python framework that models an application as a state machine, with a trace UI and persisted state.

Python framework for LLM apps built from collaborating agents that hold conversation state, tools and vector-store memory.

Python library that turns files in S3, GCS and Azure into versioned, typed datasets for pipelines and agents.

Visualization language and MCP server that lets AI agents create charts from editable chart specs.

Python and TypeScript toolkit for calling any frontier LLM through one interface, with tools, structured output and tracing.

Python library and CLI for building agents that run on IBM watsonx Orchestrate, with a local Developer Edition for testing.

Python agent runtime with an SDK for building your own agent, and an app that adds plugins and channel integrations.

TypeScript agent framework with persistent cognitive memory, multi-agent orchestration and one dispatch interface across 13 LLM providers.

Java library for stateful, multi-agent LLM applications built as cyclical graphs, designed to work with langchain4j and Spring AI.

Python and TypeScript SDK and REST Agent Server for building agents that work with code in local or containerized workspaces.

Ruby library for LLM-powered apps with a unified LLM interface, prompt tools, output parsers, RAG and assistants.

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

Python framework for LLM agents that run as durable Dapr workflows, with retries, Kubernetes deployment and human-in-the-loop hooks.

Archived Microsoft Python framework for multi-agent apps; Microsoft directs new users to Microsoft Agent Framework.

Self-hosted TypeScript runtime for coordinating agents with human approval gates and inspectable runs, with no telemetry.

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