RedAgent AI operates like a well-coordinated orchestra, where autonomous agents work together to create a seamless user experience. Each agent, much like a musician in an orchestra, contributes individually and collectively to produce a harmony of relevant and actionable intelligence based on user queries.

• Smart Agents: The core components of RedAgent AI, these agents are designed to perform specific roles and tasks. Each agent has distinct capabilities and focuses on particular aspects of a project.

• Tasks: These are the specific units of work assigned to agents. Tasks come with clear descriptions and expectations, ensuring agents know exactly what to accomplish.

• Unit: A group of agents working together toward a common goal. Units are organized to optimize collaboration and efficiency, enabling complex multi-agent interactions and workflows.

Designed to be inherently multi-modal, RedAgent AI's retail products will include:

• Text-Based Search Engine: Accessible via the web for straightforward information retrieval.

• Advanced Search Engine: Features voice and image interaction for a more dynamic user experience.

• Premium Chatbot: Available on Telegram, offering personalized assistance.

• Analysis Companion: Provides insights for charts and technical datasets.

• Trading & Transaction Companion: Delivers proactive, real-time performance monitoring.

Description coming soon..

The total supply of $RAA is capped at 100,000,000 with no pre-mine or early token sale, ensuring a fair launch that took place on December 2024. The $RAA token is required for payment services when the full product suite becomes live, allowing access to our API and market insights.

The allocation is as follows:

• 100% RAA/ETH LP

• Renounce Ownership

• 0% Buy/Sell Tax

RedAgent AI is an advanced, AI-powered, crypto-centric content interpretation and search engine. It’s multi-modal by design and a step toward artificial general intelligence (AGI).

By leveraging LLMs, RedAgent AI parses data to create a knowledge graph, answering user questions about private datasets.

RedSwap is a Telegram-based, non-custodial token swap bot that simplifies token trading by offering gasless transactions powered by Agent Workflows and Account Abstraction, allowing users to act upon sentiment and other analyses from the RedAgentAI Suite.

It is designed to grow with multi-chain capabilities, enabling greater utility while maintaining a sustainable revenue model that benefits $BERRY stakers and operations through its fee structure.

Key Features

Gasless Swaps via Paymaster: RedSwap uses the ERC-4337 standard to offer gasless swaps by sponsoring users’ gas fees. Through Paymaster, RedSwap pays the gas on behalf of the user:

• When a user initiates a swap (e.g., 1000 USDC for $BERRY), the Paymaster covers gas costs (e.g., $5-10), relieving the user of the need for ETH in their wallet.

• A 1% fee is applied to all transactions. From this fee, a portion helps cover gas costs, and the remaining portion is retained as profit for the platform (see Revenue Model below).

• Fallback Mode: If the gas fees exceed the profit from a swap, the Paymaster stops sponsoring, and the user must pay for gas, but RedSwap still takes its 1% fee. But is otherwise reverted.

Non-Custodial Security: RedSwap operates without any centralized custody, meaning it doesn't store private keys. Instead, user authentication is securely managed on-device using Telegram’s API, similar to systems like Privy_io. This ensures that users maintain full control over their assets throughout the swap process.

Multi-Chain Support: Launching initially for Ethereum and ERC-20 tokens, future iterations will be multi-chain, allowing for token swaps across various EVM-compatible blockchains, adding to the platform's flexibility.

Revenue Model:

• RedSwap charges a 1% fee on all transactions, distributed as follows:

  • 40% to $BERRY stakers (coming soon)

  • 30% is allocated for $BERRY token buybacks.

  • 30% is reinvested into RedAgentAI for platform development, infrastructure, and hiring.

RedAgent AI can connect information across vast sources and use these connections to answer questions that are difficult or impossible to solve with keyword or vector-based search mechanisms. Building on the previous question, it provides semi-technical, high-level information on how the system offers functionality for various uses. This allows RedAgent AI to answer questions that span multiple documents and address thematic queries like "What are the top themes in this dataset?"

RedAgent AI's suite of autonomous multi-agent collaboration ensures multi-modal experiences for users.

Description coming soon..

At the core of Agent Scraper is the DYR, the main reasoning agent that synthesizes the extensive data extracted from all agents into actionable insights. DYR excels in:

• Macro Economic Influence Detection: Analyzing current macroeconomic trends affecting the crypto landscape, allowing users to anticipate market movements and adjust their strategies accordingly.

• Market Sentiment Analysis: Gauging the overall sentiment within the cryptocurrency market and identifying leading metas, which is essential for understanding the prevailing mood among investors.

• Token Discovery: Highlighting promising tokens poised for short-term traction based on positive sentiment acceleration across all monitored channels. This proactive approach enables users to capitalize on emerging opportunities.

• Performance Ranking: Continuously re-evaluating previous performances to avoid bias, ensuring that only the most relevant and recent data informs predictions. This dynamic ranking system helps maintain the integrity of the analysis and enhances predictive accuracy.

Delivered on a four-hour basis, the Digest removes the necessity of keeping up with trends. Instead of doing your own research, RedAgent AI does your research for you. The summary covers a general overview, trends, an overall sentiment review, as well as predictions and top picks.

Overview

Covering a general overview of crypto news and relevant events within the scope of cryptocurrencies, the overview makes mention of including but not limited to innovations, legal or regulatory implementations/topics, general advancements, and an outline of the top categories of discussion across the space.

Trends

Expanding on Overview, Trends supply a simple summary of each category.

Sentiment

Aggregating the sentiment analysis across all cryptocurrencies, DYR produces a general market overview.

Predictions

Drawing from the above, DYR synthesizes assumptions from overview, sentiment, and trends to point users in a general direction of what may likely be on the immediate horizon that may influence price action for major assets.

Top Picks

Drawing from specific tickers' data, the selection of Top Picks provide an analysis of community/mentions sentiment in order to highlight significantly positive trending activity.

Description coming soon..

Web3 Native: RedAgent AI is designed specifically for web3. It allows users to submit contextually specific queries about web3, crypto, and blockchain. By integrating with active web3 assets and platforms, it offers a unique interaction experience powered by smart agents.

Decentralized: Governance, control, and value in RedAgent AI are decentralized, as it operates on a publicly distributed network. This eliminates the risks associated with centralized resources and their inherent points of failure.

User-Friendly: RedAgent AI is building a suite of products for everyday users. Web3 and its related concepts can be complex and challenging to navigate, but RedAgent AI aims to provide complete beginners with an easy way to learn and gain experience as they explore the world of crypto.

Ubiquitous: RedAgent AI’s products will be accessible through widely available platforms and media. Like every forward-thinking team, we're committed to onboarding the next billion users into crypto. We believe the best way to achieve this goal is by leveraging existing infrastructure with established user bases.

Multi-Modal: Interactions with RedAgent AI can be text-based, voice-driven, or involve images and charts, with seamless transitions between modes. Multiple coordinated autonomous agents work behind the scenes to deliver relevant information, offering users a completely novel experience.

This Gitbook is a living document with modifications occurring frequently to reflect the dynamic evolution behind RedAgent AI and the larger artificial intelligence industry

The future of AI is in creating machines that can reason and learn as humans do

— Yann LeCun (Meta)