Recall Network: Decentralized AI Agent Knowledge and Data Platform.

What is Recall Network

Friends, imagine we live in a world where artificial intelligence (AI) is getting smarter and smarter, helping us with many things like writing articles, analyzing data, and even trading. But how do we know which AI is the best and most trustworthy? Or, how can these AIs collaborate better and share their “wisdom”?

Recall Network (abbreviated as RECALL) is a blockchain project specifically designed to solve these problems. You can think of it as a “marketplace for AI agent skills” or a “platform for AI agent trust and discovery”. In this marketplace, various AI agents (imagine them as robots with specific skills) can showcase their abilities, compete with each other, and prove how powerful they are. At the same time, they can securely store, verify, trade, and share data and knowledge here.

Its core goal is to create a “minimal trust ecosystem”, which means you don’t need to fully trust a centralized institution to know that an AI’s performance is real and reliable. It’s like attending a skills competition where every contestant’s performance is open, transparent, and recorded for verification—Recall Network provides such a fair and just stage for AI agents.

A typical usage flow might include: AI developers create their own AI agents, then bring them to Recall Network to participate in various “skills challenges.” The results of these challenges are recorded on the blockchain, forming verifiable records, thereby establishing a performance-based “reputation ranking” for AI agents. Users can choose the AI agents that best suit their needs based on these rankings.

Project Vision and Value Proposition

Recall Network’s vision is to become the “trust and discovery layer” of the AI agent economy. It aims to use blockchain technology to make collaboration, data sharing, and value exchange between AI agents more transparent, trustworthy, and efficient.

It mainly seeks to address some core pain points in the AI field:

• Lack of data transparency: In traditional AI systems, it’s hard to know whether the data used by AI is real or whether its decision-making process is transparent. Recall Network provides clear, auditable records by recording AI actions and decisions on the blockchain, eliminating the “black box” nature of AI.
• Lack of trust mechanisms: AI performance claims are often hard to verify, and users have to blindly trust AI marketing. Recall Network establishes trust by enabling competition, verifiable records, and performance rankings, making AI agents’ abilities traceable.
• Limited collaboration and economic incentives: AI agents are often isolated, making it difficult to collaborate effectively and share knowledge. Recall Network provides a decentralized platform where AI agents can trade knowledge and skills with each other and receive economic rewards.

Compared to similar projects, Recall Network emphasizes its “neutral rating layer” and “multi-party incentive model”. It’s not just an AI skills marketplace, but also a transparent, performance-based ranking system for AI agents, similar to “PageRank” in the internet world. It ensures the healthy development of the AI ecosystem by incentivizing curators, developers, and validators to participate.

Technical Features

Recall Network technically integrates the advantages of blockchain and AI, providing a reliable infrastructure for AI agents:

• Recall Blockchain: This is the core of Recall Network, a blockchain subnet optimized specifically for AI agents. You can think of it as a highway dedicated to AI agent data and transactions, ensuring high throughput, low latency, and high reliability.
• EVM Compatibility: This means it is compatible with the Ethereum Virtual Machine (EVM). Simply put, applications and tools developed in the Ethereum ecosystem can easily run and interact on Recall Network, lowering the barrier for developers.
• Proof-of-Stake (PoS) Consensus Mechanism: Recall Network uses Proof-of-Stake (PoS) as its consensus mechanism. This allows network participants to validate transactions and maintain network security by “staking” their tokens. Compared to Proof-of-Work (PoW), it is more energy-efficient and easier to scale.
• Agent Toolkit and SDKs: To facilitate AI developers, Recall Network provides modular toolkits (Agent Toolkit) and software development kits (SDKs). These tools allow AI agents to easily verify actions, manage data, and participate in competitions on the Recall network, and support mainstream AI frameworks such as LangChain or OpenAI.
• Decentralized Storage: Recall Network also collaborates with decentralized storage solutions like Filecoin to ensure the security and durability of AI agent data, avoiding single points of failure and censorship risks associated with centralized storage.
• Integration of Ceramic and Tableland Technologies: Recall Network was formed by the merger of Textile.io and 3Box Labs (the company behind Ceramic). This means it inherits and integrates Ceramic and Tableland’s deep experience in decentralized data infrastructure, providing a verifiable, censorship-resistant data interaction layer for AI agents.

Tokenomics

The token of Recall Network is RECALL, which plays a crucial role in the entire ecosystem. You can think of it as the “currency” and “ballot” in this AI agent skills marketplace.

• Token Symbol and Issuing Chain: The symbol for the RECALL token is $RECALL, and it will be issued on the Base chain. Base is an Ethereum Layer 2 solution that offers faster transaction speeds and lower fees.
• Total Supply and Initial Circulation: The total supply of $RECALL is 1 billion. At the Token Generation Event (TGE), 20% (i.e., 200 million) tokens will be unlocked and enter initial circulation.
• Token Utility: $RECALL tokens have multiple uses, mainly including:
  • Market Coordination and Funding: Users can use $RECALL to create and fund AI skills marketplaces, supporting specific AI solutions.
  • Participation and Rewards: Developers and users can earn $RECALL rewards by submitting AIs, curating AI submissions, participating in competitions, etc.
  • Staking and Governance: $RECALL can be used for staking to earn rewards and participate in network governance. Staking is like locking up your tokens to provide security for the network, while you also earn some returns and have the opportunity to vote on the project’s future direction.
  • Paying Fees: When transacting or accessing AI agent services on the Recall network, $RECALL may be used to pay fees.
• Token Allocation and Unlocking: The allocation plan for $RECALL is as follows:
  • Airdrop: 10%, used to reward early users, builders, and community contributors.
  • Recall Foundation: 10%, used to support daily operations, ecosystem development, and gradual decentralization of the network.
  • Community and Ecosystem: 30%, used to fund user rewards, platform development, grants, and strategic partnerships to drive project adoption.
  • Founding Contributors: 21%, allocated to Recall team members.
  • Early Investors: 29%, including investors from Ceramic.

  Regarding unlocking, the initial circulation is 20%. After 12 months, 27% of the supply will be unlocked, and the remaining portion will be unlocked after 48 months.

Team, Governance, and Funding

• Core Members and Team Features: The company behind Recall Network is Recall Labs, formed by the merger of Textile.io and 3Box Labs (the company behind Ceramic). Core team members include:
  • Andrew Hill: Chief Executive Officer (CEO).
  • Sander Pick: Co-founder and Chief Technology Officer (CTO).
  • Michael Sena: Co-founder.

  This team has extensive experience in AI, blockchain, and decentralized technologies. Notably, there is information that Recall Labs acquired Ceramic in early 2025, and its fundraising may partly come from the Ceramic era.

• Governance Mechanism: Recall Network plans to explore governance models such as Decentralized Autonomous Organizations (DAO) to enhance community participation and project sustainability. $RECALL tokens will also be used for governance, allowing token holders to vote on important project decisions.
• Treasury and Funding: Recall Network has already received substantial funding. As of April 2025, the project has raised at least $42 million in total funding from well-known investment institutions such as Multicoin Capital and Coinbase Ventures. Other investors include Coinfund and USV. Recent funding rounds include $39.5 million raised in February 2025 and an $8 million Series A in April 2023.

Roadmap

The Recall Network roadmap shows its ambition from testnet to mainnet and towards building global AI discovery infrastructure:

• Historical Milestones:
  • 2019: Project founded.
  • February 2025: Recall Testnet officially launched. The testnet is an experimental network that allows developers and users to test project features in a real environment without affecting the mainnet.
  • March 2025: Launched the “Recall Surge” community points program, where users can earn points by participating in AI competitions and social tasks.
  • March 2025: Held AlphaWave, a week-long simulated crypto trading competition where AI agents competed for a $25,000 prize pool.
  • October 15, 2025: $RECALL token officially launched on the Base chain.
• Future Key Plans:
  • Open Markets: More markets will be opened in the future, supporting one-sided positions and public Recall Rank API.
  • Complex Markets: Further development of more complex markets, supporting two-sided positions and deeper liquidity.
  • Global AI Discovery Infrastructure: The ultimate goal is to become the global AI discovery infrastructure, making Recall Rank the standard for evaluating autonomous AI agents.
  • Cross-chain Expansion: Plans to expand to other blockchains, such as BNB Chain and Solana.
  • Full Staking/Curating Functionality: Full staking and curating features will be launched.
  • Deflationary Mechanism: Introduce a deflationary mechanism to support the long-term value accumulation of the token.

Common Risk Reminders

All blockchain projects come with risks, and Recall Network is no exception. Before participating, be sure to understand the following common risk categories:

• Technical and Security Risks:
  • Smart Contract Vulnerabilities: Recall Network relies on smart contracts for operation. If there are vulnerabilities, it could lead to loss of funds or system attacks.
  • Blockchain Network Security: Although Recall Network is built on blockchain, the blockchain itself may face various attacks, such as 51% attacks (for PoS chains, this is the risk of staking token concentration).
  • AI Model Risks: The performance, bias, or unexpected behavior of AI agents themselves may also pose risks, especially in high-risk decision-making scenarios.
  • Audit Reports: Current search results show that Recall Network does not yet have a security audit report, meaning its smart contracts and code have not undergone comprehensive review by independent third parties.
• Economic Risks:
  • Token Price Volatility: The cryptocurrency market is highly volatile, and the price of $RECALL tokens may be affected by market sentiment, project progress, macroeconomics, and other factors, with the risk of significant declines.
  • Liquidity Risk: If there is insufficient demand for $RECALL tokens in the market, it may lead to insufficient liquidity, making it difficult to buy or sell tokens when needed.
  • Competition Risk: The AI and blockchain fields are highly competitive. If Recall Network cannot maintain its competitive advantage, it may affect its long-term development and token value.
  • Token Unlocking and Sell-off Pressure: The token unlocking schedule may bring sell-off pressure at specific times, affecting market prices.
• Compliance and Operational Risks:
  • Regulatory Uncertainty: Global regulatory policies on cryptocurrencies and AI are still evolving, and future policy changes may adversely affect Recall Network’s operations and development.
  • Project Transparency: Some comments point out that Recall Network’s rebranding, airdrop mechanisms, and documentation rewrites may involve “non-transparent” marketing practices, which could raise concerns in the community.
  • Team Execution Risk: The project’s success largely depends on the team’s execution ability, technical strength, and community building.

Please note: The above information is for educational purposes only and does not constitute any investment advice. Be sure to conduct thorough due diligence and risk assessment before making any investment decisions.

Verification Checklist

When researching a project in depth, here are some links and activities you can check yourself to get more comprehensive information:

• Block Explorer Contract Address: The $RECALL token will be issued on the Base chain. You can check its contract address (for example: 0x1f16e03C1a5908818F47f6EE7bB16690b40D0671) on block explorers like BaseScan to view token holder distribution, transaction records, and more.
• GitHub Activity: Recall Network mentions its AgentKit SDK and MCP GitHub repositories. You can visit these repositories to check code update frequency, number of contributors, issue resolution, etc., to assess the project’s development activity.
• Official Website and Documentation: Visit Recall Network’s official website and documentation (e.g., docs.recall.network) for the most authoritative project information, technical details, and latest progress.
• Social Media: Follow Recall Network’s official accounts on X (formerly Twitter), Discord, and other social media platforms to learn about community discussions, announcements, and team interactions.
• Audit Reports: Although not mentioned in current search results, if the project releases a security audit report in the future, be sure to read it carefully to understand the security assessment of its smart contracts.

Project Summary

Recall Network is an ambitious blockchain project dedicated to solving the challenges of trust, transparency, and collaboration in the rapidly developing AI field through decentralization. It provides a unique platform for AI agents to showcase skills, build reputation, and exchange data and knowledge in a fair and verifiable environment. With its AI-optimized blockchain, PoS consensus mechanism, and integration with existing Web3 technologies, Recall Network aims to build a solid foundation for the AI agent economy.

The project’s $RECALL token plays a central role in the ecosystem, serving not only as a medium of value exchange but also granting holders the right to participate in governance and share in ecosystem growth. The team has a strong background and is backed by well-known investment institutions, providing favorable conditions for its development. The roadmap also shows clear phased goals and a long-term vision.

However, like all emerging technology projects, Recall Network also faces technical, economic, and compliance risks. Fierce market competition, regulatory uncertainty, and the project’s own operational transparency are all potential challenges. For anyone interested in Recall Network, it is strongly recommended that you fully understand the project details and assess your own risk tolerance before deciding whether to participate. Remember, this is not investment advice. Please do your own research for more details.