AgentSea vs Keploy
Side-by-side comparison to help you choose the right AI tool.

AgentSea
Chat privately with multiple AI models and keep all your conversation history.
Last updated: March 1, 2026
Keploy automatically creates reliable unit and integration tests from your real API traffic.
Last updated: March 1, 2026
Visual Comparison
AgentSea

Keploy

Feature Comparison
AgentSea
Unified AI Model Dashboard
Say goodbye to tab overload. AgentSea consolidates access to a wide array of leading AI models—from industry giants like OpenAI and Anthropic to cutting-edge open-source options—into one clean, private dashboard. This means no more logging in and out of different services; you have instant, seamless access to the right tool for any task without ever losing your place.
Persistent, Multi-Model Chat Context
This is the core superpower of AgentSea. Your conversation history isn't tied to a single model. You can begin a detailed research query with one AI, then switch to a different model for creative brainstorming or code refinement, all within the same chat window. The entire context carries over, allowing for truly collaborative and continuous workflows that were previously impossible.
Specialized AI Agents & Tools
Beyond just chat models, AgentSea provides access to pre-configured AI agents designed for specific tasks. Think of agents optimized for coding, content writing, data analysis, or image generation. Combined with built-in AI tools, this turns the platform into a versatile workstation, helping you accomplish specialized tasks more efficiently without needing separate applications.
Cost-Effective, Unlimited Access
Instead of managing multiple expensive subscriptions, AgentSea offers a straightforward monthly plan that grants you unlimited interactions across its entire ecosystem of models and agents. This flat-fee model provides incredible value, predictability, and power, especially for heavy users, making advanced AI collaboration both accessible and affordable.
Keploy
AI-Powered Test & Mock Generation
Keploy uses advanced AI to automatically create stable, deterministic test cases and mocks by analyzing real API traffic. Instead of you writing countless lines of test code, it intelligently records live application behavior and transforms it into a comprehensive test suite. This includes generating precise stubs for databases, external services, and other dependencies, ensuring your tests run in a perfectly isolated sandbox every time.
Record and Replay API Traffic
This is Keploy's foundational feature. Using eBPF, it non-intrusively records all API calls and network interactions made by your application during normal operation or specific testing sessions. You can then replay these recordings as automated tests in your CI/CD pipeline. This ensures your tests are based on real-world usage patterns and data, making them far more relevant and reliable than manually scripted scenarios.
Coverage and Performance Reporting
Keploy doesn't just create tests; it gives you clear visibility into their effectiveness. It provides detailed coverage reports, showing exactly which parts of your codebase are exercised by your tests. Furthermore, it offers performance testing capabilities by analyzing the recorded traffic, helping you identify potential bottlenecks and ensure your application meets performance standards from the very beginning.
Seamless CI/CD and Developer Tool Integration
Built for developer workflow efficiency, Keploy integrates directly into your existing tools. It works natively with popular CI/CD platforms, automatically running the generated test suite on every pull request or build. For developers, there's also a dedicated VS Code extension, allowing you to generate, manage, and run tests directly from your IDE, making test creation a natural part of the coding process.
Use Cases
AgentSea
Complex Project Development
A developer can use one model to architect a software solution, switch to a specialized coding agent to write specific functions, and then consult another model for debugging advice—all in a single, continuous chat session. This maintains perfect context and streamlines the entire development lifecycle.
Research and Comparative Analysis
A student or researcher can pose the same complex question to multiple AI models simultaneously or sequentially within AgentSea. This allows for easy side-by-side comparison of responses, synthesis of different viewpoints, and deeper verification of information, all while keeping notes and sources organized in one place.
Creative Content Workflow
A content creator can start by using a powerful language model to generate article outlines and draft sections. They can then switch to a different model known for its creative flair to brainstorm catchy headlines or marketing angles, and finally use a proofreading agent to polish the final copy, creating a seamless production pipeline.
Learning and Skill Building
An individual learning a new skill, like coding or data science, can use AgentSea as a persistent tutor. They can ask foundational questions with one model, request practical examples from another, and get code explanations from a specialized agent, building a comprehensive and interactive learning log that grows with them.
Keploy
Accelerating Legacy Application Testing
Modernizing or adding tests to a large, untested legacy codebase is a daunting task. Keploy can be attached to the running application to record its real traffic. Within minutes, it generates a full suite of integration and API tests that reflect how the application is actually used, providing immediate test coverage and a safety net for future refactoring or feature development.
Ensuring Reliability in Microservices Architectures
Testing microservices is complex due to numerous interdependent services. Keploy simplifies this by recording interactions between services during development or staging deployments. It automatically creates mocks for each service, allowing teams to test their service in complete isolation with realistic data, catching integration bugs early without needing all dependencies running.
Rapid Prototyping and Development
When building a new feature or service, developers can use Keploy from day one. As they manually test their API endpoints via a browser or curl, Keploy records those sessions. It instantly generates the corresponding test cases, allowing the developer to build a robust regression suite in parallel with writing the actual feature code, ensuring quality keeps pace with velocity.
Maintaining Test Quality During Refactoring
When refactoring code for performance or clarity, a major concern is accidentally breaking existing functionality. With Keploy, the test suite is derived from real user behavior. This means you can refactor with confidence, knowing that the tests will accurately validate that the core user-facing workflows still perform exactly as they did before the changes.
Overview
About AgentSea
AgentSea, now known as Okara.ai, is your all-in-one, private portal designed to simplify and supercharge your work with advanced artificial intelligence. It solves a major headache for anyone who uses AI regularly: the constant juggling of multiple websites, logins, and subscriptions to access different AI models like GPT-4, Claude, or Llama. Instead of having a dozen browser tabs open, AgentSea provides a single, unified dashboard where you can seamlessly interact with a vast selection of the latest and most powerful AI models. The true magic lies in its persistent chat context; you can start a complex task with one model, then switch to another for a different perspective, all within the same conversation thread where your history and the AI's memory are perfectly preserved. This makes it an incredibly efficient and cost-effective hub for AI enthusiasts, researchers, developers, writers, and professionals who rely on AI for creativity, problem-solving, and productivity. By offering unlimited access to a curated ecosystem of top-tier models, specialized AI agents, and handy tools for a simple monthly fee, AgentSea (Okara.ai) empowers you with unparalleled choice, privacy, and workflow efficiency, all from one intuitive interface.
About Keploy
Keploy is an AI-powered testing platform that fundamentally changes how developers ensure software quality. It's designed for modern engineering teams, especially those working with microservices and complex distributed systems, who are frustrated by the slow, manual, and often brittle process of writing and maintaining tests. Keploy's core magic lies in its ability to automatically generate accurate, reliable test cases and mocks by recording real user traffic and application behavior. Using eBPF technology, it observes API calls in real-time, capturing both the request and the response, along with all network interactions with dependencies like databases, internal services, or third-party APIs. This recorded data is then transformed into executable unit, integration, and API tests, complete with stubs for all external dependencies. The result is a dramatic acceleration in achieving comprehensive test coverage—up to 90% in minutes instead of weeks. It supports popular languages like Go, Java, Node.js, and Python, and integrates seamlessly into your existing development workflow and CI/CD pipelines. With Keploy, developers can shift testing left with confidence, catch regressions early, and significantly boost development velocity without compromising on code reliability.
Frequently Asked Questions
AgentSea FAQ
What happened to AgentSea?
AgentSea has been rebranded to Okara.ai! You will be automatically redirected to the new platform. This change represents an evolution of the service with the same core mission: to be your unified, private portal to the world of AI, offering an even better experience.
How does the multi-model chat context work?
When you chat in AgentSea (Okara.ai), your conversation history is saved to the session, not to a specific AI model. This means you can select a different model from the sidebar at any point, and the new AI will have full knowledge of everything that was said previously, allowing for a truly continuous and collaborative dialogue.
Is my data private on AgentSea?
Yes, privacy is a fundamental principle. AgentSea (Okara.ai) is designed as your private portal. Your conversations and data are not used to train public AI models. The platform provides a secure environment where you can work confidently, knowing your intellectual property and sensitive information are protected.
What kind of AI models and agents do you offer?
The platform provides access to a curated and updated selection of the most capable AI models, including top proprietary models and leading open-source alternatives. Additionally, it features specialized pre-configured agents for tasks like coding, writing, analysis, and more, along with practical AI tools to enhance your productivity.
Keploy FAQ
How is Keploy different from other AI testing tools?
Unlike tools that are simply wrappers around large language models (LLMs) which can generate hypothetical tests, Keploy is behavior-driven. It uses eBPF to record actual API calls and network activity from your running application. This results in tests that are accurate, reliable, and based on real-world usage, not guesses. It generates both the test cases and the necessary mocks/stubs automatically.
What programming languages and frameworks does Keploy support?
Keploy currently offers robust support for several popular languages including Go, Java (Spring Boot), Node.js, and Python. It is designed to work with standard frameworks and HTTP servers within these ecosystems. The team is actively working on expanding support to more languages, and you can check their official documentation for the most up-to-date list.
Can I use Keploy in my CI/CD pipeline?
Absolutely! Keploy is built for modern DevOps practices. The tests and mocks it generates are standard, portable artifacts (like Go tests or JUnit-style tests). These can be easily integrated into any CI/CD system such as GitHub Actions, GitLab CI, Jenkins, or CircleCI. You can configure your pipeline to run the Keploy test suite automatically on every commit or pull request.
Is Keploy an open-source tool?
Yes, Keploy has a strong open-source foundation. Its core engine is available on GitHub, where it has garnered significant community support with over 15.6k stars. This allows developers to self-host, inspect the code, and contribute. Keploy Inc. also offers enterprise-grade cloud solutions with additional features, support, and managed services for teams needing a fully hosted solution.
Alternatives
AgentSea Alternatives
AgentSea is a unified AI assistant platform that lets you chat with multiple advanced AI models from a single, private dashboard. It solves the problem of juggling different services by keeping all your conversations and context in one place. People often look for alternatives for various reasons. Maybe they need a different pricing model, like a pay-per-use option instead of a subscription. Others might prioritize access to a specific model that isn't available, or they might simply want a different set of features or user interface. When evaluating other options, consider what matters most for your workflow. Key factors include the range of AI models offered, how the platform handles your conversation history and privacy, the overall cost, and the ease of switching between different AIs without losing your train of thought.
Keploy Alternatives
Keploy is an AI-powered testing platform that automates the creation of unit and integration tests for developers. It falls into categories like AI assistants and development tools, helping teams achieve high test coverage quickly by recording real application behavior. Users often explore alternatives for various reasons. This could be due to specific budget constraints, a need for different integration capabilities, or a requirement for support in a programming language or framework not currently covered. Every team's tech stack and workflow is unique. When evaluating other options, consider what matters most for your workflow. Key factors include the tool's ability to integrate with your existing CI/CD pipeline, the languages and frameworks it supports, the realism of the test mocks it generates, and the overall learning curve for your team. The goal is to find a solution that reduces manual effort while reliably safeguarding your code quality.
