Soulgraph (GRPH): Dedicated Infrastructure for AI Agents
While many AI Agent projects today are geared towards serving end users directly, Soulgraph focuses on providing infrastructure for developers.

What is Soulgraph?

Souldgraph is an open source platform that provides a toolkit and execution environment for developers to create & deploy AI Agents . AI Agents created on the platform have the ability to learn from the process of interacting with people and the surrounding environment, thereby becoming intelligent and suitable for each individual’s needs.

Soulgraph focuses on creating AI Agents with unique personalities, capable of thinking and acting independently. According to the project, not only stopping at DeFi, these AI Agents can be applied in many different aspects, such as gaming, healthcare, education…

Soulgraph Infrastructure

Soulgraph serves as the infrastructure layer for AI Agents to operate, providing a consistent development environment. The protocol helps standardize the personality, interaction, and memory standards of AI Agents.

In addition, AI Agents developed on frameworks such as ElizaOS, Zerepy, Arc can also interact and share data effectively on the Soulgraph platform.

3 core elements of Soulgraph’s infrastructure:

  • Soulscript: An open source framework that acts as the “DNA” of an AI Agent. Soulscript defines the personality and interactions of an AI Agent, ensuring they have a distinct personality.
  • Soulgraph Memory: A knowledge database that stores AI Agents’ information and experiences, allowing them to learn and continuously update themselves.
  • Soulgraph Presence: Application layer that allows users to interact with AI Agent through methods such as text, images, voice…
soulgraph infrastructure
Soulgraph Infrastructure

Soulscript

Soulscript is an open source configuration framework that uses JSON format to define the initial personality profile of an AI Agent. Soulscript acts as a foundation and entry point, providing the structure to define the core nature of the AI ​​Agent.

When combined with the Soulgraph database, the AI ​​Agent will be able to evolve over time based on its environment and user interactions while maintaining core characteristics.

The evolution of the AI ​​Agent in Soulgraph follows a few key rules. Specifically, every time the AI ​​interacts with a user, it creates a detailed record of the conversation. These records are stored in the Soulgraph knowledge database.

From there, with each interaction, the AI ​​Agent’s personality profile will be updated and adjusted through machine learning. The AI ​​Agent’s evolution process goes like this:

  • Learning new behavioral patterns: AI will use machine learning algorithms to analyze data from interactions, thereby recognizing effective ways of communicating and mimicking them based on the environment they are in and how they interact with users.
  • Building personal relationships: AI understands and caters to the needs of each individual user based on the data stored in Soulgraph.

According to the project, the AI ​​learning process will always be monitored and controlled, ensuring that the AI ​​Agent on the platform remains true to its original nature, not deviating too far from its design purpose.

Soulgraph Memory

Soulgraph Memory is the system that manages and stores the memories of AI Agents in Soulgraph. Soulgraph Memory is not simply an information repository but a complex database that allows AI Agents to learn, grow, and personalize based on their experiences.

How does Soulgraph Memory work?

Every time there is an interaction between the AI ​​Agent and the user, a memory fragment is created. This memory fragment stores all information related to that interaction, including: conversation content, context, actions, etc.

Individual memory fragments are combined to form a consolidated memory. A consolidated memory is a long-term memory that contains more information and is more meaningful than the individual memory fragments.

All memory fragments and consolidated memories are connected to form a memory graph. In this graph, memory fragments are linked together based on keywords, context, or time, forming a knowledge network.

By analyzing memory graphs, AI Agents can learn new behavioral patterns, recognize similar situations, and adjust their behavior accordingly. For example, if an AI Agent is frequently asked about a particular topic, it will gradually build up deeper knowledge about that topic and be able to provide more accurate and complete answers.

Each AI Agent will have a unique memory graph, helping them develop unique personalities and abilities, tailored to each individual and specific context.

soulgraph memory
How Soulgraph Memory Works

Soulgraph Presence

Soulgraph Presence is an application layer that enables AI Agents to interact with humans naturally and intuitively through three main modalities: voice, image, and text.

The process goes like this: When a user makes a request, the system automatically converts it into a language that the AI ​​Agent can understand and process the information, then returns the result in natural language.

Technically, Soulgraph Presence consists of several components such as:

  • WebRTC: Ensures smooth audio and video transmission.
  • Audio and video processing: Remove noise, improve audio and video quality.
  • Orchestration: Manage the entire communication process, from when a user speaks to when a response is received.
  • Convert voice to text and vice versa: So that AI Agent can understand and respond to users.
soulgraph presence

What is GRPH Token?

GRPH token information

  • Token Name: Soulgraph
  • Ticker: GRPH
  • Blockchain: Solana
  • Token Standard: SPL-20
  • Token Type: Utility & Governance
  • Smart Contract: 9doRRAik5gvhbEwjbZDbZR6GxXSAfdoomyJR57xKpump
  • Total Supply: 1,000,000,000 GRPH

GRPH Token Allocation Ratio

GRPH token allocation ratio is as follows:

  • Public: 85%
  • Community treasury: 7.5%
  • Partnership fund: 5%
  • Team: 2.5%

In addition, the GRPH token uses a burn mechanism to deflate supply. This mechanism works by removing a certain amount of tokens from the market, thereby reducing the total supply and potentially increasing the value of the remaining tokens. However, the project has not yet announced the details of the token burn rate or implementation schedule.

Soulgraph Project Team

According to the project, the Soulgraph development member is nicknamed cwm on the X platform. Specific information about cwm has not been specifically disclosed.

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