AgentSea

About AgentSea

AgentSea, now rebranded as Okara.ai, is a sophisticated, unified chat interface designed to provide private, fast, and secure access to a vast ecosystem of artificial intelligence. It addresses a critical pain point in the modern AI landscape: fragmentation. Users often juggle multiple browser tabs and subscriptions to access different models, losing conversational context and compromising privacy with each switch. AgentSea consolidates this experience, allowing users to interact with the latest standard models (like GPT-4), cutting-edge open-source models, hundreds of specialized AI agents, and various AI tools within a single, persistent chat environment. This architecture ensures that context and memory are retained when switching between AI resources, enabling more coherent, complex, and productive workflows. Primarily built for professionals, researchers, developers, and businesses that require multi-model analysis, comparative testing, and secure data handling, AgentSea's core value proposition is centralized, context-aware, and privacy-first AI access. By operating as a secure intermediary, it mitigates data exposure risks associated with using multiple independent AI services, positioning itself as a essential platform for efficient and responsible AI utilization.

Features of AgentSea

Unified Multi-Model Interface

AgentSea provides a single, streamlined chat interface that grants simultaneous access to a wide array of AI models. This includes leading proprietary models from major labs as well as a curated selection of powerful open-source alternatives. Users can initiate a conversation with one model and seamlessly switch to another without losing the thread of the discussion, enabling comparative analysis and leveraging the unique strengths of different AIs for a single task. This eliminates the inefficiency of managing multiple isolated platforms.

Persistent Context & Memory

A cornerstone feature of AgentSea is its ability to maintain conversation history and context across different AI models and sessions. When you switch from discussing a code problem with a coding-specialized agent to asking a creative writing model to refine the output, the entire context travels with you. This persistent memory is crucial for complex, multi-step projects and allows for truly iterative development, a significant advantage over isolated chat interfaces that reset with each new session.

Privacy & Security Framework

AgentSea is engineered with a privacy-first architecture, acting as a secure gateway between the user and various AI models. This design helps protect sensitive data and proprietary information from being directly exposed to or stored by third-party model providers. For businesses and individuals handling confidential material, this layer of security is paramount, addressing growing concerns over data privacy in AI interactions as highlighted in industry reports on enterprise AI adoption.

Extensive AI Agent & Tool Library

Beyond raw language models, AgentSea offers access to hundreds of pre-built, specialized AI agents. These agents are fine-tuned for specific tasks such as legal document review, financial analysis, graphic design brainstorming, or academic research. This turns the platform from a simple chat interface into a powerful workbench, allowing users to deploy task-optimized AI assistance without needing technical expertise in prompt engineering or model fine-tuning.

Use Cases of AgentSea

Cross-Model Research & Verification

Researchers and analysts can use AgentSea to gather perspectives from multiple AI models on a single topic. For instance, a market researcher could ask one model for a SWOT analysis, another for statistical data interpretation, and a third for competitor messaging analysis, all within the same contextual chat. This allows for fact-checking, identifying consensus, and uncovering nuanced insights that a single model might miss, leading to more robust and well-rounded findings.

Secure Business Intelligence Processing

Business teams can leverage AgentSea to process internal documents, meeting transcripts, and strategy briefs securely. By using the platform's privacy framework, sensitive corporate data can be analyzed by different AI agents for summarization, sentiment analysis, or action item extraction without the data leaving the company's controlled environment. This enables powerful AI-driven insights while maintaining compliance with data governance policies.

Creative & Technical Development Workflow

Developers and content creators can maintain a continuous workflow within one window. A developer could debug code with one agent, generate documentation with another, and then use a creative model to draft a blog post explaining the new feature—all while referencing the same core project context. This seamless integration dramatically reduces friction and accelerates project completion by keeping all AI-assisted work unified.

Comparative AI Model Testing

For AI practitioners, engineers, and product managers, AgentSea serves as an ideal platform for benchmarking and comparing the performance, tone, cost-effectiveness, and output quality of different language models and agents on standardized prompts. This side-by-side testing capability is essential for making informed decisions about which models to integrate into larger systems or workflows, saving significant time and resources.

Frequently Asked Questions

What happened to AgentSea?

AgentSea has been rebranded to Okara.ai. The platform's core functionality, features, and mission remain the same—providing a unified, private interface for accessing multiple AI models and agents. The rebrand reflects the company's evolution and growth. Users visiting the old AgentSea domain are automatically redirected to the new Okara.ai website.

How does the context preservation work?

The platform maintains a centralized conversation history and context layer that is independent of the individual AI models you query. When you send a message, AgentSea appends the relevant conversation history to your prompt before routing it to the selected model. This allows each model to "see" the prior discussion, creating a continuous thread regardless of how many different AIs you engage with during a session.

Is my data truly private?

AgentSea is designed with a strong privacy focus, acting as an intermediary. While no online service can guarantee 100% anonymity, the architecture is intended to minimize direct data exposure to model providers. For the highest level of security, users should review Okara.ai's specific privacy policy for details on data logging, retention, and encryption practices to ensure it meets their compliance requirements.

What are credits and how are they used?

Credits are the platform's consumption-based currency. Each interaction with an AI model or agent consumes a certain number of credits, which varies based on the complexity and cost of the underlying model (e.g., a premium model like GPT-4 costs more credits per query than a smaller open-source model). The provided plan of $15 per month for 500 credits offers a bundle that allows users to manage and predict their monthly AI usage costs within the unified interface.