“Python”

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

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

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

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

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.

Python library that builds a tree index of long documents and has an LLM reason through it to retrieve answers, without a vector database or chunking.

Python framework that models an application as a state machine, with a trace UI and persisted state.

Python agent runtime with an SDK for building your own agent, and an app that adds plugins and channel integrations.

Python library for autonomous agents that run scheduled tasks and exchange messages on the Fetch.ai network.

Python and TypeScript SDK that gives an AI agent a phone number, with pluggable LLM, speech and telephony providers.

Python library of 35 agentic AI architectures with one run() interface, built on LangGraph and multiple LLM providers.

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

Open-source Python framework for multi-agent systems: agent societies, memory, RAG, code interpreters, synthetic data and large-scale simulation.

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.

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

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 LLM apps built from collaborating agents that hold conversation state, tools and vector-store memory.

Python library that turns files in S3, GCS and Azure into versioned, typed datasets for pipelines and agents.

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

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

Open-source Python evaluation framework with ready-made and custom graders for scoring AI agent quality and producing reward signals.