“Gemini”

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

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

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

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

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

Python framework for multi-agent applications where agents with defined roles talk through explicit flows, built on the OpenAI Agents SDK.

Python toolkit for Vietnamese NLP with a multi-provider agent module that calls LLM APIs using only the standard library.

Python multi-agent framework with PEER and DOE collaboration patterns and configurable LLM vendors such as Qwen, DeepSeek and OpenAI.

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

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