“Python”

Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory.

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

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

Open-source toolkit for building, evaluating and deploying agents in Python, TypeScript, Go, Java and Kotlin, tuned for Gemini but model-agnostic.

Python framework and runtime for building agents, serving them over a REST API and MCP server, and managing them from a web control plane.

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.

Open-source Python framework from deepset for modular pipelines and agent workflows covering retrieval, tool use and generation.

SDK for building Microsoft Teams apps and AI agents in TypeScript, C# and Python, with a CLI that scaffolds new agents.

Multi-language SDKs for embedding the GitHub Copilot agent runtime, with planning, tool calls and file edits, in your apps.

YAML-driven Python robot simulator for navigation, control and learning research, with collision detection and a Matplotlib renderer.

Lightweight Python agent framework for long-running tasks, with skills, sub-agents, A2A and ACP servers, and CLI, TUI and web front ends.

Cross-platform C++ DAG framework with a Python version, for running task graphs with no third-party dependencies.

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

Typed Python toolkit for composing classic and agentic retrieval-augmented generation pipelines with pluggable LLMs and stores.

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

PyTorch-style Python framework for multi-agent, multi-session workflows, with a durable production runtime in v2.0.0.

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

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 runtime for agent apps with tool sandboxing and streaming agent APIs; archived, with features moved to AgentScope 2.0.

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.