Sentient Chat

What is Sentient Chat?

Sentient Chat is a decentralized conversational platform that brings together over 15 natively integrated specialized AI agents, supporting a wide range of research, productivity, and search workflows. Powered by the Dobby-70B community-owned model, it provides instant, humanlike multi-turn responses and enables users to automate tasks or interact with the latest knowledge available online. Sentient Chat is designed for transparency, scalability, and reliability, achieving low-latency, high-throughput performance for both individual users and large-scale deployments. Its ecosystem leverages open, explainable search and enables community involvement in training and agent development.

Key Features

• Multi-Agent Integration

  Natively supports more than 15 specialized agents, allowing users to invoke domain-specific expertise and workflow automation within a single chat interface.

• Real-Time Transparent Search

  Offers integrated live search using the Open Deep Search (ODS) technology for up-to-date, explainable results beyond static data.

• Community-Driven AI Model

  Built on the Dobby-70B model, prioritizing transparency and community feedback, with early access for supporters and NFT holders.

• Scalable & Reliable Performance

  Delivers sub-2-second responses and maintains consistent uptime and performance, even during viral traffic spikes.

• Customizable Agent Workflows

  Allows user-initiated automation and function-calling across multiple agents for complex or cross-domain tasks.

Use Cases

• Research Assistance : Academics and analysts streamline discovery through multi-agent coordination and live, explainable search.
• Workflow Automation : Users automate repetitive digital tasks by invoking specific agents designed for text, search, and data handling.
• Personal Knowledge Management : Individuals leverage agents for organizing, searching, and summarizing web and personal information.
• Community-Driven AI Training : Enthusiasts and NFT holders participate in model training, improving agent behavior and accuracy through feedback.

FAQs