Harnesses & SDKs

Minimal Python graph framework of about 100 lines for LLM agents, workflows, RAG and map-reduce pipelines.

Python framework for durable AI agents built as dataflows that resume after crashes, retry safely and record each step.

Python framework for customer-facing conversational agents that narrows the prompt context each turn using rules, knowledge and tools you define.

Python agent framework for OpenAI-compatible agents with tools, memory, MCP connections, multi-agent collaboration and workflows.

Python library for steering language models by constraining output with regex and grammars and mixing control flow with generation.

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

Python platform that gives agents a cryptographic identity, A2A communication and x402 payment requirements behind one bindufy() call.

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

Low-code Python framework for YAML-defined agents and multi-agent Cogs, with personas, prompt templates and memory nodes.

Open-source Python framework for text and voice assistants; the open-source edition is in maintenance mode while Rasa moves to its CALM engine.

Python framework for LLM applications built on Qwen models, with function calling, MCP, a code interpreter and RAG options.

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

SDK for building agents in C#, JavaScript and Python that run on channels such as Microsoft Teams and Microsoft 365 Copilot.

Python framework for autonomous agents that work in a sandboxed workspace, and task agents with tools and MCP support.

Python framework for data labeling agents that learn skills from a ground-truth dataset through iterative feedback.

Python framework for MCP-based agents with composable workflow patterns, MCP server creation and Temporal-backed durable execution.

Experimental Python library that teaches agent handoffs on the Chat Completions API; OpenAI now points users to its Agents SDK.

Python multi-agent framework that gives LLM agents software-company roles and SOPs to turn a one-line requirement into a project repository.

Lightweight Python framework for LLM agents built as PyTorch-style layers, with agent memory kept as session state.

Framework for building, running and evaluating autonomous agents, with a planner-based multi-agent mode, skills and agent RL training.

Managed Microsoft Foundry service for building, deploying and scaling AI agents, with a Python client library on PyPI.