2026 Meilleurs outils de SDK d’IA

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OpenAI Agents SDK TypeScript

Créateur d’agents IA

A TypeScript SDK for developers building text, sandbox, and realtime voice agents.

C

Cloudflare Agents

Créateur d’agents IA

A platform and SDK for developers building AI agents with persistent state and tools.

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PyTorch

Outils Dev IA

An open-source machine learning framework for building and running AI models.

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Velt

SDK d’IA

An embeddable collaboration and review SDK for apps that need comments, approvals, and agent-assisted workflows.

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Binah.ai

SDK d’IA

Embed camera-based health and wellness spot checks in an app or mobile web flow; continuous checks use a compatible contact PPG sensor.

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Music AI

API audio IA

An AI audio platform for businesses building music, audio, and video workflows.

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Persona

Outils Dev IA

Persona adds streaming AI chat to websites through a JavaScript widget. Connect an SSE backend and expose page actions with user approvals.

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Octri

Outils Dev IA

Turn OpenAPI definitions into hosted docs, SDKs, MCP tools, and SDK-based monitoring.

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Cortex Docs

Outils Dev IA

Cortex Docs is an open-source API tooling workflow that turns API specifications and Markdown into interactive documentation, typed SDKs, and MCP servers. It helps developers publish API interfaces for human users, applications, and AI agents from a shared project.

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Agent Development Kit (ADK)

Créateur d’agents IA

Agent Development Kit (ADK) is an open-source framework for building, evaluating, and deploying conversational and non-conversational AI agents. It supports multi-agent systems, tools, structured workflows, and production runtimes across Python, TypeScript, Go, Java, and Kotlin.

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OpenAI Platform

Outils Dev IA

OpenAI Platform is a developer platform for building applications with the OpenAI API. It provides API access, model and pricing information, technical documentation, starter apps, and cookbooks for implementation guidance.

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Pipecat

Infrastructure pour agents IA

Pipecat is an open-source Python framework and ecosystem for building real-time voice and multimodal AI agents. It helps developers compose pipelines that coordinate speech, language, vision, video, text, tools, and telephony transports.

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Gemini API

Outils Dev IA

Gemini API is a developer API for integrating Google’s generative AI models into applications. It supports text and image generation, multimodal analysis, conversational agents, structured outputs, tool use, and related media workflows through SDKs or REST.

C

Claude Platform

Infrastructure pour agents IA

Claude Platform gives developers programmatic access to Claude models and managed agent infrastructure for building agents and applications. It includes a REST API, official client SDKs, a web Console, and documentation for direct integrations.

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Microsoft Agent Framework

Créateur d’agents IA

Microsoft Agent Framework is a developer framework for building, orchestrating, and deploying AI agents and multi-agent workflows. It supports implementations in Python and .NET.

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Instructor

Outils Dev IA

Instructor is a developer library for extracting structured, validated data from large language models. It uses Pydantic schemas, automatic retries, streaming, and a consistent interface across cloud, local, and routed LLM providers.

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AI SDK

Outils Dev IA

AI SDK is a TypeScript toolkit for building AI-powered applications and agents across supported model providers and web frameworks. It provides shared APIs for model generation, tool use, streaming, structured output, and AI user interfaces.

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Google Gen AI Python SDK

SDK d’IA

A Python SDK for integrating Google’s generative models into applications through the Gemini Developer API and Gemini Enterprise Agent Platform APIs. It provides client libraries, typed request helpers, and synchronous or asynchronous workflows for developers building with Google’s generative AI services.

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Model Context Protocol TypeScript SDK

Infrastructure pour agents IA

The official TypeScript SDK for building Model Context Protocol servers and clients. It provides a repository-organized foundation for MCP development, with separate client, server, core, middleware, documentation, and example areas.