“Python”

Python SDK that runs the Claude Code agent loop inside your own program, with custom tools and hooks written as Python functions.

Typed Python SDK for building agents with swappable model providers, plus optional capabilities for memory, sub-agents, planning and durable execution.

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

Python and TypeScript framework for multi-agent systems, with MCP and A2A interop, YAML orchestration and OpenTelemetry tracing.

Open-source Python and TypeScript SDK for model-driven agents, with tools, MCP, multi-agent patterns and streaming.

Open-source framework that routes each user query to one of several AI agents, with Python, TypeScript and Swift runtimes.

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

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

Small Python library whose agents write their actions as code, with sandboxed execution and tools from MCP servers, LangChain or the Hub.

Python agent framework from Alibaba that lets the model drive tool use, with team pipelines, MCP, agent skills, A2A, memory and tracing.

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

Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.

All-in-one Python AI framework for embeddings-based semantic search, LLM pipelines, workflows and agents.

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

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.

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

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

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

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

CLI-first Python agent framework and coding agent with MCP, A2A and Agent Skills support, live streaming and human input.

Python toolkit for signed identities, verifiable credentials and delegated authority for AI agents, with MCP and REST interfaces.

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

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