“Python”

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

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

Python SDK for building agents on Google Antigravity and Gemini, with the agent loop handled by the runtime.

Python framework for backtesting and running trading strategies written as Python rules or AI agents, across brokers.

Open-source Python toolkit for RAG and agents over your own data, with event-driven workflows and 300+ integration packages.

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

Python framework for writing language-model programs as code and optimizing their prompts and weights instead of hand-tuning prompts.

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

Open-source Firebase framework for AI features and agent workflows in JavaScript, Go, Python and Dart, with model plugins.

Open-source Python framework for real-time voice and multimodal agents, built from composable pipelines with handoffs between specialist agents.

DSPy-style toolkit for typed LLM signatures, agents and flows, TypeScript-first with Python, Java, C++, Go and Rust libraries.

Sample projects for the Strands Agents SDK, showing how to build agents in Python and TypeScript; not intended for production use.

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

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

SDK for browser agents with act, observe and extract calls, used from TypeScript and Python to automate sites and pull out structured data.

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

Python library and CLI for building agents that run on IBM watsonx Orchestrate, with a local Developer Edition for testing.

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 runtime and framework for long-running agents, with durable sessions, approvals, spend caps and multi-agent collaboration.