Harnesses & SDKs

Python SDK for multi-agent workflows with handoffs, guardrails, sessions and built-in tracing, usable with OpenAI and other LLMs.

Open-source Python framework for AI agents that cooperate on tasks, with human-in-the-loop workflows and multi-agent patterns.

Python SDK for TimeGPT, a time series foundation model for forecasting and anomaly detection.

OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.

Python SDK for tracing agents and scoring their traces with prompt-based judges, to find failures in production.

TypeScript agent framework on a Rust runtime, where runs are checkpointed, replayed with zero LLM calls and resumed after a crash.

Official Python implementation of the Universal Tool Calling Protocol, calling HTTP, CLI, MCP and text-file tools through plugins.

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.

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

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.

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

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

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

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 multi-agent applications where agents with defined roles talk through explicit flows, built on the OpenAI Agents SDK.

Open-source platform for voice agents that place and answer phone calls through Twilio or Plivo with pluggable speech and LLM providers.

Open framework for building and hosting production-grade AI agents and multi-agent workflows in .NET and Python.

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