OpenAI allows technical and non-technical teams to collaborate. Anthropic is aimed more at experienced developers. Google is targeting the entire enterprise. Amazon speaks in particular to fans of open source.
To benefit from the power of AI agents, it is no longer necessarily necessary for developers to reinvent the wheel, coding basic interactions with LLMs or connecting to data sources. Agent SDKs (Software Development Kit) help developers more easily create complex AI-driven applications. Consisting of a toolset of pre-made code libraries and services, they make it easy to integrate language models and connect to other tools or data sources.
Integrated platform or modular library
In this SDK agent market, different philosophies exist among the players. The integrated platform offers an all-in-one solution. It presents unified tools, often with no-code/low-code graphical interfaces. Objective: build, deploy and monitor the agents. They are often intended for teams of developers and non-developers.
Modular libraries, on the other hand, present a collection of code-focused tools. They are designed to be integrated into existing applications. They offer great flexibility and control over the architecture. This solution is often ideal for teams of experienced developers. Especially when they want deep integration, great customization and control of their infrastructure.
OpenAI, with AgentKit and Google with Gemini Enterprise are positioned more as integrated platforms. The company led by Sam Altman seeks, for example, to create a unified ecosystem. This should make it possible to improve collaboration between technical and professional profiles. Gemini Enterprise is designed for enterprise-wide adoption, with governance and security designed to perform.
Anthropic and Amazon (with Strands) for their part advocate a modular library approach. Anthropic’s Claude Agent SDK is a “Python-first” toolkit. It should appeal to developers wanting to maintain control over the orchestration of their agents. Amazon has it both ways. Bedrock Agents offers a managed and integrated experience within the AWS ecosystem. Strands, the open source framework, offers maximum portability and flexibility for those who prioritize code.
| Key Features | – Agent Builder: creation of visual workflows – MCP connectors – Guardrail modules (security, control) – Deployment via Agents SDK (dev) – Deployment via ChatKit (no-code chat widget) |
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| Ecosystem coherence | – Logging of agent actions/decisions – Traceability for debugging and performance metrics – Feedback loop: build → trace → evaluate → improve – Objective: reliable agents that can be optimized over time |
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| Price | – Visual interface (design + tests): free – Billing based on actual requests – Price model aligned with the OpenAI API grid (by model / tokens) |
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| Key Features | – Bash script access for terminal execution – Very good Python code generation – SDK with editable context (agent state) – Explicit memory management (activation, deactivation) – MCP connectors: Slack, GitHub, Google Drive, etc. |
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| Ecosystem coherence | – Documentation provided (Python, TypeScript) – Unified Claude Agents SDK (common technical base) – Management of long-term conversations/projects – Safety-oriented design and use in real production |
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| Price | – Pricing for the use of Claude models (tokens) – Open source SDK: free – Costs focused on inference, not tooling |
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| Key Features | – No-code automation environment – Suite of pre-integrated agents: Deep Research, Data Insights – Open source Agent Development Kit (ADK) – Data connectors integrated into the ADK – Promotion of the A2A (Agent2Agent) protocol for interoperability |
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| Ecosystem coherence | – Centralized agent governance (IT dashboard) – Visualization, security and audit of executions – Deep Google Workspace integration (Vids, Meet, etc.) – Real-time voice translation in Google Meet – Vertical offers by profession: marketing, finance, HR, etc. |
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| Price | – Gemini Business: from $21/user/month (annual) – Gemini Enterprise Standard/Plus: starting at $30/user/month (annual) – Quotas included: storage + data indexing |
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| Key Features | – Compatible with any LLM provider – Native MCP integration – > 20 preconfigured tools – Designed for complex systems in production – Integrated observability: OpenTelemetry, metrics, tracing – Orchestration of teams of specialized agents via supervisor – AWS deployment architectures: Lambda, Fargate, EC2 |
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| Ecosystem coherence | – For Bedrock Agents: deep AWS integration (managed services) – Schema-based agents to call external APIs – Business logic executed via AWS Lambda (serverless) – In open source Strands mode: consistency depends on the chosen architecture – The framework provides the building blocks for a robust and observable system |
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| Price | – Amazon Bedrock: usage-based billing (input/output tokens) – Strands Agents: free – Main costs related to Bedrock + compute AWS (Lambda/Fargate/EC2) |
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In terms of maturity, although all these offers are recent, there are some differences. Google and Amazon benefit from their deep integration with their respective cloud services (Google Cloud and AWS), used by millions of businesses. Strands, although young, already displays positive user feedback, proof of rapid adoption in production. OpenAI and Anthropic, building on the popularity of their models, capitalize on their expertise in AI to offer reference tools.
