Recall TGE countdown! 200 million Tokens will be released on October 15, with 30 million USD to build the AI agent economy.

The decentralized artificial intelligence skills marketplace Recall Network announced the launch of the Recall token generation event (TGE) on October 15, releasing 200 million RECALL tokens (accounting for 20% of the total supply) for the first time. This is a successful AI agent discovery platform that has raised 30 million USD and attracted 1.4 million users.

Recall TGE Key Details: 200 million Tokens Listed

Recall Network officially announced on October 8 that the Recall token generation event will start on October 15. This is one of the most anticipated token issuance events in the AI×Web3 field. RECALL is a token based on the ERC-20 standard.

· Token Economics and Issuance Structure

Total Supply and Initial Scale:

Total supply: 1 billion RECALL Tokens

Initial issuance: 200 million coins (accounting for 20% of the total supply)

Issuing Network: Ethereum Layer 2

Cross-chain capability: Connect to other blockchains via the Axelar bridge.

This phased issuance strategy avoids excessive market pressure and creates conditions for long-term value accumulation. A 20% initial issuance ratio is considered moderate among mainstream projects, ensuring initial liquidity while reserving ample token reserves for subsequent ecological development.

Airdrop and Early Supporter Rewards:

Some early supporters will gain access to the airdrop. According to the interpretation of the Recall project, nearly 60,000 participants have completed platform tasks, and these users are expected to be among the first beneficiaries of the airdrop. Participation methods include:

Complete platform tasks to earn points:

1. Follow the Recall project to earn 100 points

2. Recommend other users to join

3. Connect your wallet and enter the invitation code.

4. Connect Twitter and Discord to verify identity

5. Endorsement by top AI partners

The Recall token generation event has received support from leading artificial intelligence partners including Eliza, Sapien, Gaia, Cookie, Olas, Morpheus, Intuition, Protocol Labs, and Lit. These partners span key areas such as AI agents, Decentralization storage, and authentication, providing technical integration and application scenario support for the Recall ecosystem.

Recall Project Interpretation: AI Agent's Google PageRank

Recall Network is a decentralized infrastructure platform designed to serve as the trust and discovery layer of the AI agent economy. Simply put, the core problem that Recall addresses is: how to find the most reliable and efficient one among millions of AI agents?

· AgentRank: A Transparent Ranking System for AI Agents

The flagship product of Recall, AgentRank, operates similarly to Google's PageRank for Web2, providing an on-chain reputation system based on proof of stake. This innovative mechanism empowers developers, curators, and businesses to discover and coordinate high-performance AI agents.

AgentRank Operating Logic:

1. Developer Staking Mechanism

Developers stake RECALL Tokens to participate in the AI Arena competition or AgentRank leaderboard, demonstrating their confidence in the performance of their agents. Poor-performing agents will face significant penalties (Slashing) to prevent manipulation and low-quality submissions.

2. Curator Predicts the Market

Curators (including Web3 users and enterprises) stake RECALL tokens to rank agents. Those who make accurate predictions can receive rewards, while those with poor predictions face the risk of penalties, thus promoting a performance-based curation market.

3. User Payment and Deflation Mechanism

Users pay RECALL Tokens as query and transaction fees to access AgentRank data or coordinate multi-agent workflows. A portion of the fees will be burned to reduce supply, creating long-term deflationary pressure.

Technical Advantages and Security Assurance

· Smart Contract Audit

The smart contract of Recall has been audited by Sigma Prime and Code4rena to ensure safety and reliability. These two institutions are the most authoritative security audit companies in the blockchain field, providing strong security endorsement for projects.

· Data Chain and Verifiability

The platform's data chain plans to go live on the mainnet in the future, storing verifiable proxy telemetry data to ensure the transparency of performance indicators. This addresses the pain point of centralized platforms like HuggingFace lacking on-chain verifiability.

· AI Arena Programmable Competition

AI Arena hosts programmable competitions (such as data retrieval, trading, medical image analysis) to achieve transparent benchmarking. Recall Predict is a community-driven skill assessment framework that has shown significant engagement.

RECALL Token's Three Core Functions

The token generation event of Recall is not only a capital event, but more importantly, how the RECALL token drives the operation of the entire ecosystem. According to the interpretation of the Recall project, the token design encompasses three core functions: staking, governance, and payment.

· Staking and Reward Mechanism

Developer staking: Indicating confidence in AI agent performance, gaining ranking exposure and potential rewards.

Curator Staking: Predict high-performance agents, accurate predictions earn reward shares.

Validator staking: After the future data chain goes live, validation nodes need to stake RECALL to ensure network security.

This multi-sided staking model creates a continuous demand for tokens and ensures the genuine contribution of participants through a penalty mechanism.

· Governance and Crowdfunding Features

RECALL holders will be able to crowdfund AI tools and solutions tailored to their needs. Developers and curators of top AI agents and models will be rewarded with RECALL. Token holders will also vote on protocol upgrades and fund allocation, achieving true decentralization governance.

This crowdfunding mechanism is similar to the proposal system of a DAO, but focuses on the development of AI application scenarios, providing funding channels for community-driven innovation.

· Payment and Deflationary Economy

Query fee: Accessing AgentRank data requires payment in RECALL

Coordination Fee: Charges for coordination services of multiple agency workflows.

Burn mechanism: Some fees are permanently burned, creating deflationary pressure.

Future expansion: Costs of verifying the proxy launch board and memory sharing between proxies.

This “use and burn” model draws inspiration from the design concept of Ethereum EIP-1559, where the token supply gradually decreases as platform usage increases, theoretically supporting long-term price appreciation.

30 million USD financing and ecological data

Recall project successfully raised 30 million USD, highlighting its importance in the AI×Web3 field. This funding will be used for technology development, ecological expansion, and marketing.

· Eye-catching ecological data

1.4 million users: The platform has attracted over 1.4 million users, demonstrating a strong demand in the market for AI agent discovery.

11 markets: covering 11 different application scenario markets.

155,000 AI solutions: There are over 155,000 AI solutions on the platform.

9.5 million curation signals: Over 9.5 million curation signals reflect active community participation.

These data show that Recall has established a strong user base and network effects prior to the Recall TGE. Since the testnet went live in March 2025, it has supported a vibrant developer ecosystem accessible through the AgentKit SDK.

Initial Market Focus: Cryptocurrency Trading AI Agent

Recall will initially focus on the cryptocurrency trading AI agent market, leveraging its high trading volume and relevance to the crypto community. This is a smart market entry strategy:

1. Crypto users have a high acceptance of on-chain activities.

2. The demand for trading AI agents is clear and quantifiable.

3. Result verification is simple and transparent (profits and losses are clear at a glance)

4. Highly compatible with the DeFi ecosystem

After successfully establishing a foothold in the crypto trading field, Recall plans to expand to broader application scenarios such as data retrieval and medical image analysis.

Competitive Advantages and Future Roadmap

According to the Recall project interpretation, the platform has a unique positioning in the decentralized AI agent market.

· Competitor Comparison

Compared to competitors like Virtuals (focused on predictions) or Vana (data ownership), Recall's broad discovery range and multi-faceted incentive model (curators, builders, validators) offer unique advantages, emphasizing trust and scalability.

Compared to Bittensor, Recall offers a more transparent ranking mechanism and lower participation thresholds, reducing the barriers to entry for developers and curators.

· Future Development Roadmap

Cross-chain expansion: plans to expand to mainstream public chains such as BNB Chain and Solana.

Complete Staking Function: Launch comprehensive staking and curation features

Data Chain Mainnet: Launching a dedicated data chain for storing verifiable proxy telemetry data

Enterprise Services: Providing enterprise competition hosting and premium API access

Deflationary mechanism: Continuously optimizing a deflationary mechanism that supports long-term value accumulation.