Sentient Agents

Introduction

Sentient AGI, a project led by the Sentient Foundation, aims to create community-oriented, open artificial general intelligence (AGI). As part of this project, the Sentient Chat platform provides users with access to various AI agents that can be used for a multitude of tasks. This report explores how users interact with these agents, drawing on examples from posts on the X platform, particularly based on activity recorded on April 1, 2025.

Context and Mission of Sentient AGI

The Sentient Foundation focuses on creating "Loyal AI"—artificial intelligence that is built, supported, and owned by the community. Their goal is to democratize AI development, ensuring that AGI serves humanity rather than corporations. Sentient Chat is one of the key platforms where users can interact with these agents, and it is actively used for various purposes, especially in the cryptocurrency space.

Research Methods

To analyze usage, posts on X related to Sentient Chat and Sentient agents were studied using keywords such as "Sentient Chat," "Sentient agent," and semantic queries like "my experience with Sentient Chat" or "how I use Sentient agents." This approach helped identify specific use cases and user feedback, particularly from those testing the platform or sharing their experiences.

Main Use Cases

One of the most notable applications of Sentient agents is assisting in cryptocurrency trading. Agents like QnA3, JAVIN, and Messari Copilot provide users with real-time data and analytics for making investment decisions.

• Example with QnA3: A user on X described testing the QnA3 agent, noting its ability to analyze real-time information and provide up-to-date investment advice. For instance, traders can ask questions like "Is it worth buying Bitcoin now?" and receive answers based on the latest market data.

• Example with JAVIN: Another user highlighted how the JAVIN agent unlocks deep insights into crypto analytics, allowing users to ask complex questions about blockchain data in plain language and receive useful insights in return. This simplifies trend analysis without requiring technical expertise.

• Example with Messari Copilot: A post praised the Messari Copilot agent for providing meaningful answers to cryptocurrency-related questions, leveraging high-quality data and research. Users can inquire about topics like the latest news on Ethereum or the growth potential of specific coins.

Creating Custom Agents for Research

In addition to pre-built agents, Sentient Chat supports the development of custom agents, particularly for in-depth research. A user on X mentioned building deep research agents on the platform, emphasizing its open framework and ongoing improvements in reasoning and base models. This flexibility allows researchers to create agents tailored to tasks like analyzing market sentiments or forecasting prices.

General User Feedback

Users have shared positive impressions of the platform. For example, one individual described Sentient Chat as smooth, free of delays, and easy to use, underscoring its user-friendly interface and experience, which are vital for broad adoption.

Additional Features and Agents

Sentient Chat also supports other agents and features. The Dobby Model, likely a foundational interaction model, is one example, alongside updates like Pro Search and interface enhancements. These developments show the platform’s continuous evolution to meet user needs. Additionally, the Sentient Foundation offers a builder program with $1 million in funding for agent developers, reinforcing its commitment to community-driven solutions.

Examples of Agents and Their Uses

Conclusion

Research shows that Sentient agents, accessible through Sentient Chat, are actively used, especially for cryptocurrency-related tasks such as trading, data analysis, and research. Agents like QnA3, JAVIN, and Messari Copilot deliver real-time data and insights, simplifying the work of traders and researchers. The platform’s support for custom agent creation further opens opportunities for innovation. User feedback highlights its convenience and effectiveness, making it appealing to a wide audience.