# Best AI SDK Software

## How Many AI SDK Software Products Does G2 Track?

**Total Products under this Category:** 25

### Category Stats (Aug 2026)

- **Average Rating:** 4.43/5 (↓0.15 vs Jul 2026) The average rating of products in this category, based on all submitted ratings

_Last updated: August 03, 2026_

## How Does G2 Rank AI SDK Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 3,300+ Authentic Reviews
- 25+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for AI SDK Software
 ![G2 Grid® for AI SDK Software plotting products by satisfaction and market presence](https://www.g2.com/categories/ai-sdk/grids.png?focus%5B%5D=1784434&focus%5B%5D=2629&focus%5B%5D=1784433&focus%5B%5D=1386335&focus%5B%5D=77169&focus%5B%5D=1784438&focus%5B%5D=1292770&focus%5B%5D=1784435)

Highlighted products: Anthropic SDK, Zapier, OpenAI SDK, Vercel AI SDK, Deepgram, Google Vertex AI SDK, GitHub Copilot, and LangGraph.

Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-sdk/grids.json?focus%5B%5D=anthropic-sdk&focus%5B%5D=zapier&focus%5B%5D=openai-sdk&focus%5B%5D=vercel-ai-sdk&focus%5B%5D=deepgram&focus%5B%5D=google-vertex-ai-sdk&focus%5B%5D=github-copilot&focus%5B%5D=langgraph)

**Sponsored**

### Amazon SageMaker

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1013295&secure%5Bchosen_at%5D=2026-08-03T16%3A34%3A57Z&secure%5Bdisplayable_resource_id%5D=1013295&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1013295&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=52115&secure%5Bresource_id%5D=1013295&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fai-sdk%3Fopen_modal_url%3D%252Fproducts%252Fcrewai-crewai%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fai-sdk%2526source%253Dcategory&secure%5Btoken%5D=4903ddf7d76cfc215564eb1aff82d5b6f6e332beed1fd7480443e7408d084721&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fsagemaker%2F%3Ftrk%3De054ba95-b51d-4594-98bc-aa0239b1797a%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

### [Anthropic SDK](https://www.g2.com/products/anthropic-sdk/reviews)

The Anthropic SDK is a comprehensive suite of tools designed to facilitate the development of custom AI agents using the Claude language models. It offers developers a robust framework to build production-ready agents across various domains, including coding, business, and customer support. Key Features and Functionality: - Optimized Claude Integration: Ensures efficient interaction with Claude models through automatic prompt caching and performance enhancements. - Rich Tool Ecosystem: Provides a diverse set of tools for file operations, code execution, web search, and extensibility via the Model Context Protocol (MCP). - Advanced Permissions: Offers fine-grained control over agent capabilities, allowing developers to specify and restrict functionalities as needed. - Production Essentials: Includes built-in error handling, session management, and monitoring to support reliable deployment in production environments. - Multi-Language Support: Available in multiple programming languages, including Python, TypeScript, Java, Go, Ruby, C#, and PHP, catering to a wide range of development needs. Primary Value and User Solutions: The Anthropic SDK empowers developers to create sophisticated AI agents tailored to specific tasks, such as: - Coding Agents: Develop agents capable of diagnosing and resolving production issues, conducting security audits, and performing code reviews to enforce best practices. - Business Agents: Build assistants for legal contract reviews, financial analysis, customer support, and content creation, enhancing efficiency and accuracy in these domains. By providing a structured and efficient development environment, the Anthropic SDK addresses the complexities of AI agent creation, enabling users to deploy intelligent solutions that streamline workflows and improve decision-making processes.

**Average Rating:** 4.5/5.0

**Total Reviews:** 82

#### Who Is the Company Behind Anthropic SDK?

- **Seller:** [Anthropic](https://www.g2.com/sellers/anthropic-b3e27488-b6f4-49c9-a8c7-d860a4207ff3)
- **HQ Location:** San Francisco, California
- **Twitter:** @AnthropicAI  
1,440,248 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f77a1b8402d5e638c3ef9380f68189346d52f732c0a71bc7354dd50d5f3763e8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fanthropicresearch%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,178 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 43% Medium, 43% Small

#### What Are Recent G2 Reviews of Anthropic SDK?

**["Simple Setup, Intuitive API, and High-Quality Claude Responses"](https://www.g2.com/survey_responses/anthropic-sdk-review-13181261)**

**Rating:** 5.0/5.0 stars

_— ALAPATI V._

[Read full review](https://www.g2.com/survey_responses/anthropic-sdk-review-13181261)

**["Clean API and SDKs That Make Integration Fast"](https://www.g2.com/survey_responses/anthropic-sdk-review-13195840)**

**Rating:** 5.0/5.0 stars

_— Indira J._

[Read full review](https://www.g2.com/survey_responses/anthropic-sdk-review-13195840)

### [Zapier](https://www.g2.com/products/zapier/reviews)

Zapier is the #1 workflow automation platform for businesses that want to grow faster by maximizing the efficiency of their teams, tools, and processes without relying on development teams. With our new visual editor, free Filter and Formatter tasks for more control, and reduced task-based pricing, you're going love automating with Zapier. It's free to sign up — no credit card required — and creating your first workflow, what we call a "Zap," is just a few clicks away. Since 2011, over 2 million business have turned to Zapier for their automation needs, including: lead management, sales pipeline, marketing campaigns, customer support, data management, project management, and tickets and incidents.

**Average Rating:** 4.5/5.0

**Total Reviews:** 2,062

#### Who Is the Company Behind Zapier?

- **Seller:** [Zapier](https://www.g2.com/sellers/zapier)
- **Company Website:** zapier.com
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @zapier  
95,859 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9ed4b88b7d3087b088b560447ab5e4d5dd8645ced77266f1a5419671ca92102c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fzapier&secure%5Burl_type%5D=linkedin_company_website)  
1,473 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Owner, CEO
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 70% Small, 24% Medium

#### What Do G2 Reviewers Say About Zapier?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Zapier, effortlessly automating tasks with seamless integrations and a user-friendly interface.
- Users appreciate the **seamless automation** offered by Zapier, effortlessly connecting tools and saving significant time on tasks.
- Users love the **wide range of integrations** in Zapier, enhancing automation and improving productivity across various tools.
- Users value the **easy integrations** of Zapier, enabling seamless automation across essential platforms like Google Workspace.
- Users value the **wide range of integrations** in Zapier, enhancing task automation across various platforms effortlessly.

##### Cons

- Users find Zapier to be **expensive** for the features it offers, especially when scaling usage over time.
- Users find that Zapier has **pricing issues** as costs surge with advanced workflows, limiting access to essential features.
- Users find the **setup complexity** of Zapier challenging, especially in error diagnosis and testing limitations.
- Users experience a **steep learning curve** , particularly those without a coding background, making efficient usage challenging.
- Users find Zapier's **limited features** in the free plan restrictive for growing workflows and advanced automations.

#### What Are Recent G2 Reviews of Zapier?

**["Zapier has changed a lot recently!"](https://www.g2.com/survey_responses/zapier-review-12997643)**

**Rating:** 4.5/5.0 stars

_— Yauhen D._

[Read full review](https://www.g2.com/survey_responses/zapier-review-12997643)

**["Easy to Use with a Huge Range of Integrations"](https://www.g2.com/survey_responses/zapier-review-12938138)**

**Rating:** 4.0/5.0 stars

_— Richard D._

[Read full review](https://www.g2.com/survey_responses/zapier-review-12938138)

#### What Are G2 Users Discussing About Zapier?

- [What is Zapier used for?](https://www.g2.com/discussions/what-is-zapier-used-for) - 3 comments
- [Is Zapier an app?](https://www.g2.com/discussions/is-zapier-an-app) - 4 comments
- [What does Zapier cost?](https://www.g2.com/discussions/what-does-zapier-cost) - 2 comments
- [How good is Zapier?](https://www.g2.com/discussions/how-good-is-zapier) - 2 comments
- [What can Zapier do?](https://www.g2.com/discussions/what-can-zapier-do) - 2 comments, 2 upvotes

### [OpenAI SDK](https://www.g2.com/products/openai-sdk/reviews)

The OpenAI Agents SDK is a comprehensive framework designed to facilitate the development, deployment, and optimization of AI agents. It offers a robust and lightweight orchestration system that enables developers to create sophisticated agents capable of performing complex, multi-step tasks across various domains. Key Features and Functionality: - Visual and Code-First Development: The SDK provides both a visual canvas through the Agent Builder and a code-first environment, allowing developers to choose their preferred method for building agents. - Built-in Observability: It includes tools for monitoring and optimizing agent performance, ensuring reliability and efficiency in real-world applications. - Integration with OpenAI Models: The SDK seamlessly integrates with OpenAI's advanced models, such as GPT-5, enabling agents to leverage state-of-the-art AI capabilities. - Support for Multimodal Inputs: Agents can process and generate text, images, and other data types, facilitating versatile applications. - Deployment Tools: The SDK offers resources like ChatKit for creating customizable, front-end agentic experiences, streamlining the deployment process. Primary Value and Problem Solving: The OpenAI Agents SDK addresses the challenge of building and managing complex AI agents by providing a unified platform that simplifies development and deployment. It empowers developers to create agents that can autonomously handle intricate tasks, reducing the time and effort required for manual coding and integration. By leveraging this SDK, users can accelerate the creation of AI-driven solutions, enhance operational efficiency, and deliver more intelligent and responsive applications to their end-users.

**Average Rating:** 4.3/5.0

**Total Reviews:** 56

#### Who Is the Company Behind OpenAI SDK?

- **Seller:** [OpenAI](https://www.g2.com/sellers/openai)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, CA
- **Twitter:** @OpenAI  
4,941,980 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ecd1d449cf2e9761bb2e5b1f1675e8d4421cefb5efd4c38e1b88c4215c445d8e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fopenai%2F&secure%5Burl_type%5D=linkedin_company_website)  
8,807 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 48% Medium, 41% Small

#### What Are Recent G2 Reviews of OpenAI SDK?

**["Fast Prototyping with Clear Docs and Powerful Function Calling"](https://www.g2.com/survey_responses/openai-sdk-review-13193415)**

**Rating:** 4.5/5.0 stars

_— A a._

[Read full review](https://www.g2.com/survey_responses/openai-sdk-review-13193415)

**["Powerful SDK for Building AI Applications"](https://www.g2.com/survey_responses/openai-sdk-review-13072320)**

**Rating:** 5.0/5.0 stars

_— Nina S._

[Read full review](https://www.g2.com/survey_responses/openai-sdk-review-13072320)

### [Vercel AI SDK](https://www.g2.com/products/vercel-ai-sdk/reviews)

The Vercel AI SDK is a free, open-source TypeScript toolkit designed to streamline the development of AI-powered applications and agents. Created by the team behind Next.js, it offers a unified API that allows developers to integrate various AI models seamlessly into their projects. The SDK is compatible with popular UI frameworks such as React, Svelte, Vue, Angular, and runtimes like Node.js, making it a versatile choice for building dynamic, AI-driven user interfaces. Key Features and Functionality: - Unified Provider API: Easily switch between AI providers like OpenAI, Anthropic, and Google by modifying a single line of code, facilitating flexibility and scalability in AI integration. - Framework-Agnostic Support: Build applications using a variety of frameworks, including React, Next.js, Vue, Nuxt, SvelteKit, and more, ensuring broad compatibility and ease of use. - Streaming AI Responses: Enhance user experience by delivering AI-generated responses instantly through efficient streaming capabilities, reducing latency and improving interactivity. - Generative UI Components: Create dynamic, AI-powered user interfaces that captivate users, leveraging the SDK's tools to build engaging and responsive applications. - Comprehensive Documentation and Community Support: Access extensive resources, including a cookbook, tools registry, and an active community, to assist in development and troubleshooting. Primary Value and Problem Solved: The Vercel AI SDK simplifies the integration of AI functionalities into web applications, addressing common challenges such as managing streaming responses, handling tool calls, and dealing with provider-specific APIs. By abstracting these complexities, the SDK enables developers to focus on building features rather than infrastructure, significantly reducing development time and effort. Its compatibility with multiple frameworks and AI providers ensures that developers can create versatile and scalable AI-powered applications with ease.

**Average Rating:** 4.5/5.0

**Total Reviews:** 59

#### Who Is the Company Behind Vercel AI SDK?

- **Seller:** [Vercel](https://www.g2.com/sellers/vercel)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, California, United States
- **Twitter:** @vercel  
432,041 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5ebf928cb3c3e3a676030fb0404326a07e9cea520049f861ae07fdb07888435b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvercel%2Fabout&secure%5Burl_type%5D=linkedin_company_website)  
913 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 52% Small, 33% Medium

#### What Do G2 Reviewers Say About Vercel AI SDK?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of building AI applications** with Vercel AI SDK, enhancing their development process significantly.
- Users appreciate the **ease of use** of Vercel AI SDK, simplifying the creation of AI applications remarkably.
- Users value the **seamless API integration** of Vercel AI SDK, enhancing efficiency and accelerating development significantly.
- Users love the **easy setup** of Vercel AI SDK, allowing quick integration into various frameworks and workflows.
- Users value the **automation features** of Vercel AI SDK, which speed up development and simplify repetitive tasks.

##### Cons

- Users find the **insufficient documentation** challenging, noting a need for advanced examples and clearer error messages.
- Users feel the SDK's **limited features** hinder its usability and versatility for diverse application needs.
- Users find the **complex implementation** of Vercel AI SDK limits flexibility for non-Vercel deployments and advanced use cases.
- Users face **complexity issues** due to insufficient error messages and documentation, making integration and debugging challenging.
- Users face **integration issues** due to insufficient documentation and unclear error messages, complicating API interactions.

#### What Are Recent G2 Reviews of Vercel AI SDK?

**["Clean, Well-Documented SDK for Seamless Streaming AI Apps"](https://www.g2.com/survey_responses/vercel-ai-sdk-review-13173408)**

**Rating:** 4.5/5.0 stars

_— Subhashree S._

[Read full review](https://www.g2.com/survey_responses/vercel-ai-sdk-review-13173408)

**["Unified AI SDK with Great Docs for Next.js and TypeScript"](https://www.g2.com/survey_responses/vercel-ai-sdk-review-13192510)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/vercel-ai-sdk-review-13192510)

### [Deepgram](https://www.g2.com/products/deepgram/reviews)

Enterprise Voice AI platform designed for developers building voice-first products using speech-to-text, text-to-speech, or speech-to-speech APIs. Over 200,000 developers build with Deepgram's voice-native foundational models, accessed via APIs or self-managed software. Start building with $200 in free credits! Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio with superior accuracy 🗣️ Convert text into natural-sounding AI voices for enterprise use cases with text-to-speech ⚡️ Easily build voice agents with our unified Voice Agent API 🌎 Accurately transcribe audio in over 36+ languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference

**Average Rating:** 4.6/5.0

**Total Reviews:** 467

#### Who Is the Company Behind Deepgram?

- **Seller:** [Deepgram](https://www.g2.com/sellers/deepgram)
- **Company Website:** deepgram.com
- **Year Founded:** 2015
- **HQ Location:** San Francisco, California
- **Twitter:** @DeepgramAI  
10,837 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6a4f09519882843ef34c69f2628a3c6c1cc8fa6dbc3212cdb2bd60ad3ad50f36&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdeepgram%2F&secure%5Burl_type%5D=linkedin_company_website)  
325 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, CEO
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 80% Small, 19% Medium

#### What Do G2 Reviewers Say About Deepgram?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **high accuracy** of Deepgram, appreciating its fast and reliable speech-to-text capabilities.
- Users praise the **fast and reliable transcriptions** of Deepgram, significantly saving time in their workflows.
- Users appreciate the **ease of use** of Deepgram, thanks to its simple API and extensive language support.
- Users praise the **excellent transcription accuracy** of Deepgram, consistently benefiting from its efficient audio processing capabilities.
- Users commend Deepgram for its **fast and accurate real-time transcription** , enhancing various applications like call analysis and subtitling.

##### Cons

- Users note a **lack of language support** in Deepgram, limiting usability and versatility for global audiences.
- Users find Deepgram's **pricing issues** concerning, especially for large projects and startups with limited budgets.
- Users find the **pricing a bit high** for large projects, making it challenging for startups and students.
- Users experience **inaccuracy issues** with Deepgram, including missed words and limited language support affecting transcription quality.
- Users note the **limited language support** in Deepgram, though improvements are being made to expand options.

#### What Are Recent G2 Reviews of Deepgram?

**["Reliable, Natural-Sounding TTS with Fast Generation and an Easy API"](https://www.g2.com/survey_responses/deepgram-review-13184161)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/survey_responses/deepgram-review-13184161)

**["The fastest Speech to Text service I've ever used!"](https://www.g2.com/survey_responses/deepgram-review-6632115)**

**Rating:** 5.0/5.0 stars

_— D Santhosh K._

[Read full review](https://www.g2.com/survey_responses/deepgram-review-6632115)

#### What Are G2 Users Discussing About Deepgram?

- [What is Deepgram used for?](https://www.g2.com/discussions/what-is-deepgram-used-for) - 1 comment

### [Google Vertex AI SDK](https://www.g2.com/products/google-vertex-ai-sdk/reviews)

The Google Vertex AI SDK is a comprehensive suite of tools designed to facilitate the development, deployment, and management of machine learning (ML) models on Google Cloud's Vertex AI platform. It offers a unified environment that streamlines the entire ML lifecycle, enabling data scientists and developers to efficiently build, train, and scale ML models and generative AI applications. Key Features and Functionality: - Unified Platform: Integrates tools for data preparation, model training, evaluation, deployment, and monitoring within a single API and user interface, simplifying the ML workflow. - Model Training Options: Supports both AutoML for code-free model training and custom training for full control over ML frameworks and hyperparameter tuning. - Model Garden: Provides access to a curated catalog of over 200 enterprise-ready models, including Google's foundation models like Gemini, Imagen, and Veo, as well as third-party and open-source models. - MLOps Tools: Includes Vertex AI Pipelines for workflow orchestration, Feature Store for managing ML features, Model Registry for versioning models, and Model Monitoring for detecting training-serving skew and inference drift. - Agent Builder and Agent Engine: Offers tools for building, deploying, and governing AI agents, supporting development with the Agent Development Kit (ADK) and providing infrastructure for deploying and scaling agents. Primary Value and User Solutions: The Vertex AI SDK addresses the complexities of ML model development by offering a cohesive and scalable platform that reduces the need for extensive code, thereby accelerating the transition from experimentation to production. By consolidating various ML tools and services, it enhances collaboration among data scientists and developers, improves operational efficiency, and facilitates the deployment of robust AI solutions. This comprehensive approach empowers organizations to harness the full potential of machine learning and artificial intelligence in their applications.

**Average Rating:** 4.4/5.0

**Total Reviews:** 11

#### Who Is the Company Behind Google Vertex AI SDK?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Company Size:** 45% Small, 36% Medium

#### What Are Recent G2 Reviews of Google Vertex AI SDK?

**["Comprehensive, Scalable SDK for Production-Grade AI on Google Cloud"](https://www.g2.com/survey_responses/google-vertex-ai-sdk-review-13140288)**

**Rating:** 4.5/5.0 stars

_— LOKESH G._

[Read full review](https://www.g2.com/survey_responses/google-vertex-ai-sdk-review-13140288)

**["A Reliable SDK for Building AI Applications and Great SDK for Google Cloud AI Projects."](https://www.g2.com/survey_responses/google-vertex-ai-sdk-review-13178435)**

**Rating:** 4.5/5.0 stars

_— Abdul Ahad A._

[Read full review](https://www.g2.com/survey_responses/google-vertex-ai-sdk-review-13178435)

### [GitHub Copilot](https://www.g2.com/products/github-copilot/reviews)

GitHub Copilot helps more than 1 million developers and over 20,000 businesses push what’s possible in software development. Based on powerful LLMs, including OpenAI’s GPT models, this AI pair programmer helps developers write code faster and with less work by drawing context from comments and code to suggest individual lines and whole functions instantly. All languages are supported, however the more common a language, the better represented it will be in the training data and the more robust suggestions will be.

**Average Rating:** 4.4/5.0

**Total Reviews:** 376

#### Who Is the Company Behind GitHub Copilot?

- **Seller:** [GitHub](https://www.g2.com/sellers/github)
- **Year Founded:** 2008
- **HQ Location:** San Francisco, CA
- **Twitter:** @github  
2,673,925 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c06a67fd698737e0e0058dd8a6726d5e9af42b7ce88417153ae8028eed3914af&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1418841%2F&secure%5Burl_type%5D=linkedin_company_website)  
6,106 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 36% Small, 32% Medium

#### What Do G2 Reviewers Say About GitHub Copilot?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of GitHub Copilot, seamlessly integrating into their coding workflow and enhancing productivity.
- Users value the **seamless coding assistance** from GitHub Copilot, enhancing productivity and supporting learning for new programmers.
- Users appreciate how GitHub Copilot significantly enhances **productivity by generating relevant code and suggestions in real-time**.
- Users value the **effective problem-solving capabilities** of GitHub Copilot, providing timely solutions and smart coding suggestions.
- Users value the **efficiency** of GitHub Copilot for reducing errors and simplifying the coding process.

##### Cons

- Users find that **poor coding accuracy** can lead to unhelpful suggestions and inconsistent code generation experiences.
- Users find **poor suggestions** from GitHub Copilot can lead to inaccuracies and require careful review before use.
- Users find GitHub Copilot **expensive** , which can be a barrier for students and new developers to access its features.
- Users often experience **inaccuracy issues** with GitHub Copilot, leading to mistakes and increased review times for solutions.
- Users experience **context understanding issues** with GitHub Copilot, leading to confusion and inefficiencies in coding tasks.

#### What Are Recent G2 Reviews of GitHub Copilot?

**["My personal AI assistant to understand code repo"](https://www.g2.com/survey_responses/github-copilot-review-13189952)**

**Rating:** 4.5/5.0 stars

_— thakur b._

[Read full review](https://www.g2.com/survey_responses/github-copilot-review-13189952)

**["A highly productive mobile companion for repository management and brainstorming code logic"](https://www.g2.com/survey_responses/github-copilot-review-13138457)**

**Rating:** 4.0/5.0 stars

_— Chandra K._

[Read full review](https://www.g2.com/survey_responses/github-copilot-review-13138457)

### [LangGraph](https://www.g2.com/products/langgraph/reviews)

LangGraph is a low-level orchestration framework and runtime designed for building, managing, and deploying long-running, stateful agents. It provides developers with the tools to create agents capable of handling complex tasks reliably. LangGraph focuses on agent orchestration, offering capabilities such as durable execution, streaming, and human-in-the-loop interactions. It integrates seamlessly with LangChain components but can also function independently, allowing for flexible and customizable agent development. Key Features and Functionality: - Durable Execution: Ensures agents can persist through failures and operate over extended periods, resuming from their last state without data loss. - Human-in-the-Loop: Facilitates human oversight by allowing inspection and modification of agent states at any point during execution. - Comprehensive Memory: Supports both short-term working memory for ongoing reasoning and long-term memory across sessions, enabling stateful interactions. - Debugging with LangSmith: Provides deep visibility into agent behavior through visualization tools that trace execution paths, capture state transitions, and offer detailed runtime metrics. - Production-Ready Deployment: Offers scalable infrastructure designed to handle the unique challenges of deploying sophisticated, stateful, long-running workflows. Primary Value and User Solutions: LangGraph addresses the challenges developers face when creating complex, stateful agents by offering a robust framework that ensures reliability and control. By providing durable execution, it allows agents to maintain functionality over time, even in the face of failures. The human-in-the-loop feature ensures that developers can intervene and guide agent behavior as needed, enhancing trust and accuracy. Comprehensive memory support enables agents to maintain context, leading to more coherent and personalized interactions. Integration with LangSmith enhances debugging and monitoring capabilities, allowing for efficient development and maintenance. Overall, LangGraph empowers developers to build and deploy sophisticated agent systems with confidence, streamlining the development process and improving the performance of AI-driven applications.

**Average Rating:** 4.4/5.0

**Total Reviews:** 20

#### Who Is the Company Behind LangGraph?

- **Seller:** [Langchain](https://www.g2.com/sellers/langchain)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d903c2874b28b2fffbe32f9106ce307331a18248d360f67494abd9cc22fd7ca4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flangchain%2F&secure%5Burl_type%5D=linkedin_company_website)  
291 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 50% Small, 30% Large

#### What Are Recent G2 Reviews of LangGraph?

**["LangGraph Makes Agent Loops and Checkpointing Effortless"](https://www.g2.com/survey_responses/langgraph-review-13150186)**

**Rating:** 4.5/5.0 stars

_— Naqshab J._

[Read full review](https://www.g2.com/survey_responses/langgraph-review-13150186)

**["LangGraph’s StateGraph Makes Multi-Agent Flows Readable, Debuggable, and Production-Ready"](https://www.g2.com/survey_responses/langgraph-review-13172590)**

**Rating:** 5.0/5.0 stars

_— Nithya G._

[Read full review](https://www.g2.com/survey_responses/langgraph-review-13172590)

### [Hugging Face smolagents](https://www.g2.com/products/hugging-face-smolagents/reviews)

Smolagents is an open-source Python library developed by Hugging Face, designed to simplify the creation and execution of AI agents with minimal code. With a core logic comprising approximately 1,000 lines, smolagents emphasizes simplicity and efficiency, enabling developers to build powerful agents swiftly. The library is model-agnostic, allowing integration with various large language models (LLMs), including those from Hugging Face, OpenAI, Anthropic, and others via LiteLLM integration. It also supports multiple modalities, handling text, vision, video, and audio inputs, thereby broadening its application scope. Secure execution is ensured through sandboxed environments like E2B, Blaxel, Modal, and Docker. Additionally, smolagents offers deep integration with the Hugging Face Hub, facilitating seamless sharing and loading of agents and tools, and includes command-line utilities for quick agent deployment without extensive boilerplate code. Key Features: - Minimalist and Efficient Design: A compact codebase (~1,000 lines) with minimal abstractions enables quick agent development and easy understanding. - Code Agents for Direct Execution: Agents generate and run Python code snippets directly, reducing steps and LLM calls by approximately 30%, improving performance and handling complex logic. - Secure Sandboxed Execution: Supports running code in isolated environments like E2B to ensure safe and controlled execution of agent actions. - Wide LLM Compatibility: Compatible with any large language model, including Hugging Face Hub models, OpenAI, Anthropic, and others via LiteLLM integration. - Deep Hugging Face Hub Integration: Enables sharing and loading of tools and agents from the Hub, promoting community collaboration and ecosystem growth. - Support for Traditional Tool-Calling Agents: In addition to code agents, supports agents that generate actions as JSON or text blobs for flexible use cases. Primary Value and Problem Solved: Smolagents addresses the complexity and time-consuming nature of developing AI agents by providing a streamlined, efficient framework that requires minimal code. Its model-agnostic and modality-agnostic design ensures flexibility, allowing developers to integrate various LLMs and handle diverse input types. The secure execution environments mitigate risks associated with running agent-generated code, making it suitable for sensitive applications. By facilitating easy sharing and collaboration through the Hugging Face Hub, smolagents fosters a community-driven approach to AI agent development, accelerating innovation and deployment.

**Average Rating:** 4.4/5.0

**Total Reviews:** 16

#### Who Is the Company Behind Hugging Face smolagents?

- **Seller:** [Hugging Face](https://www.g2.com/sellers/hugging-face)
- **Year Founded:** 2016
- **HQ Location:** United States
- **Twitter:** @huggingface  
708,886 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a96e146548c65d19d6766c61e83fa062494f1f65ebb94d1cc05ebbefcecb70f0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhuggingface%2F&secure%5Burl_type%5D=linkedin_company_website)  
636 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 41% Medium, 35% Small

#### What Are Recent G2 Reviews of Hugging Face smolagents?

**["Lightweight, Developer-Friendly Agents with Seamless Hugging Face Integration"](https://www.g2.com/survey_responses/hugging-face-smolagents-review-13141497)**

**Rating:** 4.5/5.0 stars

_— LOKESH G._

[Read full review](https://www.g2.com/survey_responses/hugging-face-smolagents-review-13141497)

**["Easy, Flexible AI Agents with a Short Learning Curve"](https://www.g2.com/survey_responses/hugging-face-smolagents-review-13164923)**

**Rating:** 5.0/5.0 stars

_— Pavlo B._

[Read full review](https://www.g2.com/survey_responses/hugging-face-smolagents-review-13164923)

### [Lyzr.ai](https://www.g2.com/products/lyzr-lyzr-ai/reviews)

Lyzr is an enterprise AI agent platform that helps organizations design, deploy, and operate autonomous and semi-autonomous agents across business functions such as customer service, sales, human resources, finance, and IT. The platform brings together an agent framework, a low-code studio, and a central control plane, so teams can move AI initiatives from pilot to full production with consistency and oversight. Organizations use it to build task-specific agents for secure knowledge assistance, retrieval-augmented search, and multi-step workflow automation, improving how work gets done while keeping data protected. Lyzr is built for enterprises that want to adopt AI without replacing the systems they already run. Its model-agnostic architecture lets teams work with their preferred language models and switch between them as needs change, with no re-architecting required. The same flexibility extends to deployment: agents can run in a private cloud, a single-tenant setup, or fully on-premise, so organizations keep control of their data and operations. Governance, observability, and auditability are part of the platform itself, which is what makes Lyzr suitable for compliance-sensitive teams and production-grade reliability. At the core of the platform is an agent framework paired with Architect and Agent Studio, which together support single-task and multi-agent workflows through code, low-code, or no-code. A central registry gives teams monitoring, access control, versioning, and traceable execution logs across every agent, regardless of who built it or on which framework. Connectors, SDKs, and APIs link agents to existing tools such as CRMs, ERPs, ITSM systems, data lakes, and messaging platforms, so agents operate inside current processes rather than replacing them. The result is a faster path from prototype to production, supported by reusable components and ready-made integrations. Built-in governance keeps regulated teams audit-ready, while simulation, evaluation workflows, and version and rollback controls reduce operational risk before and after agents go live. Because integration effort stays low and models and pipelines remain interchangeable, organizations can orchestrate the systems they already have and evolve over time without being locked into a single vendor. Typical use cases include secure knowledge assistants and retrieval-augmented search for employees and customers, customer support agents that handle classification, drafting, and resolution, and sales agents that support account research, outreach sequencing, and meeting scheduling. Lyzr also powers back-office automation across HR, finance, and IT service management, making it a practical choice for cross-team, multi-step processes that need coordination across several tools and data sources.

**Average Rating:** 4.4/5.0

**Total Reviews:** 46

#### Who Is the Company Behind Lyzr.ai?

- **Seller:** [Lyzr](https://www.g2.com/sellers/lyzr)
- **Company Website:** www.lyzr.ai
- **Year Founded:** 2023
- **HQ Location:** New York, USA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2eec0c92006d853c670a10e2809e90ae7fa7c0cc2a9669cfcf9dc62c9692065f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flyzr-platform&secure%5Burl_type%5D=linkedin_company_website)  
172 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 67% Small, 17% Medium

#### What Do G2 Reviewers Say About Lyzr.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Lyzr.ai, appreciating its clean interface and straightforward setup for AI agents.
- Users find the **setup ease** of Lyzr.ai to be efficient and beginner-friendly, saving time and enhancing productivity.
- Users commend the **deployment ease** of Lyzr.ai, finding the platform user-friendly and efficient for building AI agents.
- Users appreciate the **efficiency** of Lyzr.ai, highlighting its quick setup and streamlined customer support processes.
- Users appreciate Lyzr.ai's **fast development** of production-ready AI agents with intuitive no-code/low-code options.

##### Cons

- Users find the **poor documentation** of Lyzr.ai frustrating, complicating the learning process and limiting effective usage.
- Users find a **lack of integration** with legacy systems challenging, complicating setup and increasing maintenance efforts.
- Users find that Lyzr.ai can present **complexity issues** , particularly with its need for structured data and setup.
- Users desire **limited customization** options in Lyzr.ai, wishing for more flexibility and advanced configurations for better control.
- Users feel the **lack of ready-made templates** limits their efficiency and highlights the need for more features.

#### What Are Recent G2 Reviews of Lyzr.ai?

**["A Practical Platform for Rapid AI Agent Prototyping"](https://www.g2.com/survey_responses/lyzr-ai-review-13180470)**

**Rating:** 5.0/5.0 stars

_— Ansari M._

[Read full review](https://www.g2.com/survey_responses/lyzr-ai-review-13180470)

**["Powerful Automation with Room for Speed Improvement"](https://www.g2.com/survey_responses/lyzr-ai-review-13173644)**

**Rating:** 4.0/5.0 stars

_— Rithik G._

[Read full review](https://www.g2.com/survey_responses/lyzr-ai-review-13173644)

### [StackOne](https://www.g2.com/products/stackone/reviews)

StackOne is the infrastructure for AI agents to take actions on enterprise apps. StackOne is the infrastructure layer that lets enterprise IT extend employees' AI from conversation to action across any enterprise app, turning AI rollouts into real returns. It offers 400+ enterprise app integrations and 25k+ actions out of the box — accessible via MCP, A2A, SDKs, and APIs — plus developer tools to customize or build any others. StackOne's execution engine trims the context agents process, so they act more accurately using fewer tokens. Governance, observability, and compliance keep every action safe and auditable.

**Average Rating:** 4.7/5.0

**Total Reviews:** 47

#### Who Is the Company Behind StackOne?

- **Seller:** [StackOne](https://www.g2.com/sellers/stackone)
- **Company Website:** docs.stackone.com
- **Year Founded:** 2023
- **HQ Location:** London, GB
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cdef1b433545d8908cab0f3c449b731fefb77d4da07e43740013c367d96009a5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstackonehq%2F&secure%5Burl_type%5D=linkedin_company_website)  
54 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Human Resources, E-Learning
- **Company Size:** 63% Small, 31% Medium

#### What Do G2 Reviewers Say About StackOne?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **responsive customer support** of StackOne, noting their helpfulness during challenging integrations and requests.
- Users value the **easy integrations** with StackOne, finding the process smooth and efficient across various environments.
- Users value the **seamless integration capabilities** of StackOne, appreciating the responsive support and intuitive documentation.
- Users highlight the **ease of use** of StackOne, facilitating seamless API integrations for all skill levels.
- Users value the **excellent documentation** of StackOne, which makes integration smooth and user-friendly.

##### Cons

- Users face **insufficient information** regarding feature mapping and updates, complicating their search and implementation processes.
- Users note **limited integrations** with StackOne, which can hinder testing and onboarding efforts despite proactive support from the team.
- Users experience **missing features** due to limited filtering options and incomplete field mappings across HRIS backends.
- Users experience **software bugs** that can disrupt functionality, causing delays and occasional errors in integration processes.
- Users experience **API limitations** with StackOne, facing occasional breaks and SDK delays that disrupt their workflow.

#### What Are Recent G2 Reviews of StackOne?

**["StackOne: Unifies Our BD Stack and Automates CRM Logging"](https://www.g2.com/survey_responses/stackone-review-13045196)**

**Rating:** 5.0/5.0 stars

_— Jack M._

[Read full review](https://www.g2.com/survey_responses/stackone-review-13045196)

**["Seamlessly Connects AI Agents to Systems — Easy Setup and Expert Support"](https://www.g2.com/survey_responses/stackone-review-13049351)**

**Rating:** 5.0/5.0 stars

_— Carlos Eduardo C._

[Read full review](https://www.g2.com/survey_responses/stackone-review-13049351)

### [LlamaIndex](https://www.g2.com/products/llamaindex/reviews)

LlamaIndex is a data framework for your LLM applications

**Average Rating:** 4.4/5.0

**Total Reviews:** 8

#### Who Is the Company Behind LlamaIndex?

- **Seller:** [LlamaIndex](https://www.g2.com/sellers/llamaindex)
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e738704a7e7efdf006df54acf82dbd5b3ab11b6aa796d2b4451f50c88c1e09cd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F91154103%2F&secure%5Burl_type%5D=linkedin_company_website)

#### Who Uses This Product?

- **Company Size:** 63% Small, 38% Large

#### What Are Recent G2 Reviews of LlamaIndex?

**["Developer-Friendly RAG Framework with Strong Integrations and Fast Prototyping"](https://www.g2.com/survey_responses/llamaindex-review-13180745)**

**Rating:** 4.0/5.0 stars

_— Nishanth J._

[Read full review](https://www.g2.com/survey_responses/llamaindex-review-13180745)

**["LlamaIndex Made Our RAG Pipeline Fast, Flexible, and Easy to Integrate"](https://www.g2.com/survey_responses/llamaindex-review-13191911)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/llamaindex-review-13191911)

### [AssemblyAI](https://www.g2.com/products/assemblyai/reviews)

AssemblyAI transcribes and understands audio using state-of-the-art AI models, revolutionizing speech-to-text and natural language processing.

**Average Rating:** 4.4/5.0

**Total Reviews:** 10

#### Who Is the Company Behind AssemblyAI?

- **Seller:** [AssemblyAI](https://www.g2.com/sellers/assemblyai)
- **Year Founded:** 2017
- **HQ Location:** San Francisco, California
- **Twitter:** @AssemblyAI  
45,724 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cf1a52f8ee98aa7a700b2286497d8527131e408616c944505fdb75d0e03c2367&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18644094%2F&secure%5Burl_type%5D=linkedin_company_website)  
107 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 40% Medium

#### What Are Recent G2 Reviews of AssemblyAI?

**["Quick Setup, Clear Docs, and Smooth Real-Time Transcription"](https://www.g2.com/survey_responses/assemblyai-review-13194439)**

**Rating:** 4.0/5.0 stars

_— Muhammad O._

[Read full review](https://www.g2.com/survey_responses/assemblyai-review-13194439)

**["Accurate, Scalable Speech-to-Text with Powerful AI Features and Easy Integration"](https://www.g2.com/survey_responses/assemblyai-review-13193197)**

**Rating:** 4.0/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/assemblyai-review-13193197)

### [Crewai](https://www.g2.com/products/crewai-crewai/reviews)

CrewAI is a robust Python framework designed to facilitate the creation and orchestration of autonomous AI agents capable of collaborative problem-solving. By enabling developers to define specialized roles, assign tasks, and equip agents with specific tools, CrewAI streamlines the development of complex, multi-agent workflows. Its architecture supports both high-level simplicity and precise low-level control, making it suitable for a wide range of applications—from simple automations to intricate enterprise solutions. Key Features and Functionality: - Role-Based Agents: Define agents with specific roles, expertise, and objectives, such as researchers, analysts, or writers. - Flexible Tool Integration: Equip agents with custom tools and APIs to interact with external services and data sources. - Intelligent Collaboration: Facilitate inter-agent communication and task delegation to achieve complex objectives efficiently. - Structured Workflows: Implement sequential or parallel task execution with dynamic management of dependencies. - CrewAI Flows: Provide granular, event-driven control over workflows, enabling precise task orchestration and integration with Crews. Primary Value and User Solutions: CrewAI addresses the challenge of building and managing collaborative AI systems by offering a framework that balances autonomy with control. It empowers developers to create AI teams where each agent has specialized roles, tools, and goals, optimizing for both autonomy and collaborative intelligence. This approach enhances efficiency, scalability, and adaptability in AI-driven projects, making it an ideal solution for enterprises seeking to automate complex tasks and workflows.

**Average Rating:** 4.4/5.0

**Total Reviews:** 7

#### Who Is the Company Behind Crewai?

- **Seller:** [crewAI](https://www.g2.com/sellers/crewai)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=97f6e7223c5d3e966f4811c129cdee58ae94baabd9418297a03dcbd03c47b31c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcrewai-inc%2F&secure%5Burl_type%5D=linkedin_company_website)  
29 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 50% Small

#### What Are Recent G2 Reviews of Crewai?

**["CrewAI Makes Multi-Agent Workflow Design Feel Natural and Scalable"](https://www.g2.com/survey_responses/crewai-review-13189672)**

**Rating:** 4.0/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/crewai-review-13189672)

**["CrewAI Makes Multi-Agent Automation Intuitive, Flexible, and Production-Ready"](https://www.g2.com/survey_responses/crewai-review-13194084)**

**Rating:** 4.5/5.0 stars

_— Atharva S._

[Read full review](https://www.g2.com/survey_responses/crewai-review-13194084)

### [PromptLayer](https://www.g2.com/products/magniv-promptlayer/reviews)

PromptLayer is the AI layer for engineering teams that need to build, manage, and evaluate LLM-powered products at scale, while giving non-technical stakeholders a seat at the table. At its core, PromptLayer is a Registry that decouples prompts and skill files from code. Engineers pull prompts programmatically at runtime via the API or SDK, while PMs, domain experts, and QA teams can iterate on templates directly in the platform without touching the codebase. Every change is versioned, committed with a message, and auditable. Release labels let you control what hits production without a code deploy. For teams building more complex workflows, the visual agent editor lets you chain multiple LLM calls together with conditional logic, looping, external API callbacks, and parallel execution, all without managing infrastructure. Agents are versioned, deployable via API, and fully traceable in the observability layer. Observability gives you full visibility into every LLM call in production: traces, token usage, latency, and cost across prompts and models. You can tag requests with metadata, score outputs, and run A/B tests across prompt versions using dynamic release labels. Evals are built into the workflow. Run synthetic evaluations using LLMs as judges, collect user feedback scores, or build structured evaluation reports from production logs and curated datasets. Prompt A vs. Prompt B comparisons are native to the platform. Reusable Skills let teams package prompt logic into modular, versioned building blocks that can be shared across projects and pulled into agent workflows or coding environments like Claude Code. Enterprise controls include RBAC with custom roles and workspace-level permissions, SSO, audit logging, and a self-hosted deployment option for teams with strict data residency or security requirements. PromptLayer integrates with every major model provider and works alongside existing observability tools. PromptLayer is model-agnostic and horizontally applicable, used across ML, product, legal, clinical, and operations teams. The core value is a single collaborative system where engineers ship fast and non-technical stakeholders can contribute, evaluate, and improve AI outputs without waiting on an engineering queue.

**Average Rating:** 4.0/5.0

**Total Reviews:** 1

#### Who Is the Company Behind PromptLayer?

- **Seller:** [Magniv](https://www.g2.com/sellers/magniv)
- **Year Founded:** 2021
- **HQ Location:** New York City, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ed966ec4a446419311ed202964c31153174809f2f6262a03ca03ea8ee5b39f6c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpromptlayer%2F&secure%5Burl_type%5D=linkedin_company_website)  
20 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of PromptLayer?

**["PromptLayer Brings Clear Visibility and Control to LLM Apps"](https://www.g2.com/survey_responses/promptlayer-review-13132858)**

**Rating:** 4.0/5.0 stars

_— Ayush C._

[Read full review](https://www.g2.com/survey_responses/promptlayer-review-13132858)

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Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated June 24, 2026

AI software development kits (AI SDKs) provide developers with pre-built components, libraries, and tooling to embed artificial intelligence capabilities directly into applications. These kits enable teams to integrate AI features such as language processing, computer vision, speech recognition, generative functions, or agentic behavior without building core AI infrastructure from scratch.

AI SDKs accelerate product development and reduce the complexity of implementing AI powered functionality. Rather than managing model training pipelines, infrastructure orchestration, or low level system configuration, developers can use structured SDK components to integrate AI features into web, mobile, desktop, or embedded applications.

AI SDKs are typically used by software engineers, product teams, and AI developers building AI enabled applications. These kits often include client libraries, software wrappers, pre-configured model interfaces, workflow abstractions, and documentation that streamline integration across environments. Many AI SDKs also provide support for authentication, scaling, logging, or observability to facilitate production deployment.

Unlike standalone AI APIs, which expose raw model endpoints, AI SDKs provide structured development tooling designed to simplify implementation within application environments. They may wrap AI models, orchestration layers, or infrastructure services, but their primary function is enabling developers to embed AI capabilities efficiently and reliably.

To qualify for inclusion in the AI SDK category, a product must:

- Provide developers with software development kits (SDKs), libraries, or packaged components for embedding AI capabilities into applications
- Include documentation, developer guides, or integration resources supporting implementation
- Enable integration of AI functionality within web, mobile, desktop, or server-side environments
- Abstract or simplify access to AI models, AI workflows, or AI-powered features through structured development tooling
- Be designed for incorporation into third-party software products rather than solely internal AI experimentation

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