“deployment”

Python framework for multi-agent teams and workflows, with a CLI and Docker, MCP and A2A deployment options.

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

Browser infrastructure for AI agents: local and cloud Playwright-based browser sessions, scraping and deployable browser functions.

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

Python SDK for building agents on Volcengine AgentKit, with a bundled Web UI, Studio deployment and short- and long-term memory.

Python SDK for deploying agents to Amazon Bedrock AgentCore, a managed runtime with memory, gateway, tools and observability.

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

Framework for Python or Node.js programs that join LiveKit rooms as realtime voice and video agents.

Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it.

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

Open-source Python framework for multi-agent workflows, with role-based Crews and event-driven Flows.

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

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

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

Python framework for real-time voice and vision agents that process video with pluggable models and processors over WebRTC.

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

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

Library for LLM post-training (SFT, DPO, GRPO and agentic RL) and classic RL, with evolutionary hyperparameter optimization.

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

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

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.