1
Mem0
Mem0 provides a dedicated, intelligent AI memory layer that persists across sessions and agents, optimizing for lower token costs and faster responses.
AI Tool
Walrus Memory Review
Walrus Memory is a decentralized, universal memory layer for AI agents that enables persistent context sharing across different AI tools.
shipped Jun 19, 2026aifreemium
1Walrus Memory launched on June 3, 2026, introducing persistent storage for AI agents.
2The Walrus network has stored over 450TB of data since its launch, making it one of the largest decentralized storage networks by data volume.
3As of May 13, 2026, Walrus introduced predictable pricing at $0.023/GB/mo, fixed in USD but paid in WAL tokens.
4Developed by Mysten Labs, the team behind the Sui blockchain, Walrus Memory provides verifiable and programmable data.
Walrus Memory at a Glance
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2
MEMO (Memolabs)
MEMO is a decentralized AI data infrastructure network providing verifiable data ownership and a secure, trustworthy memory layer for AI agents using blockchain technology.
3
Zep
Zep offers a dedicated memory layer for AI applications with features like entity extraction, progressive summarization, and both semantic and temporal search for persistent context.
4
UniversalContext
UniversalContext is a model-agnostic AI value layer that unifies scattered organizational knowledge into a shared, consistent context for AI agents, ensuring zero vendor lock-in.
overview
What is Walrus Memory?
Walrus Memory is a decentralized data platform and storage protocol tool developed by Mysten Labs that enables developers and AI agents to maintain context across various applications, sessions, and workflows. It functions as a verifiable and programmable memory layer for AI agents, addressing the 'memory problem' in AI. This tool allows AI agents to retain information and context over long periods, preventing them from losing prior work or restarting workflows from scratch. Built as a decentralized storage network by Mysten Labs, the team behind Sui, Walrus Memory focuses on the efficient storage of large, verifiable, and programmable datasets, primarily serving critical applications in AI and onchain finance.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Mysten Labs |
| Business Model | Freemium / Usage-based |
| Pricing | Freemium; $0.023/GB/mo (fixed in USD, paid in WAL token) |
| Platforms | API |
| API Available | Yes |
| Integrations | Sui Stack ecosystem |
| Founded | June 3, 2026 (Launch) |
features
Key Features of Walrus Memory
Walrus Memory provides a robust set of features designed to support high-integrity, verifiable, and programmable data for AI and onchain finance applications. Its architecture emphasizes decentralization, data sovereignty, and persistent context for AI agents, ensuring data integrity and availability across diverse workflows.
- 1Decentralized universal memory layer for AI agents.
- 2Persistent context sharing across AI tools and sessions.
- 3API available for programmatic access (API documentation at https://docs.walrus.site/usage/web-api.html).
- 4Secure storage with tamper-proof records.
- 5Programmable data via smart contracts on the Sui Stack.
- 6Always-available data infrastructure, eliminating downtime.
- 7Verifiable data with unique IDs and tracked history.
- 8Private data control for users and agents.
- 9Agentic payments functionality for onchain finance applications.
- 10Cost-optimized batch storage with 'Quilt' for small files.
- 11SDK for agentic long-term memory ('MemWal').
use cases
Who Should Use Walrus Memory?
Walrus Memory is primarily designed for developers and builders in the AI and onchain finance sectors who require verifiable, persistent, and programmable data infrastructure. It addresses critical challenges related to AI agent memory, data integrity, and decentralized application development, offering a foundational layer for the 'agentic future' of AI.
- 1**Developers & Builders in AI**: For deploying autonomous AI agents that require persistent memory and identity across various applications, including coding and research agents.
- 2**AI Model Trainers**: For training AI models on verified, licensed content and storing verifiable datasets to ensure data integrity and provenance.
- 3**DeFi & Onchain Finance Builders**: For powering decentralized finance applications with tamper-proof records and enabling agentic payments, where unverifiable data poses significant financial risks.
- 4**Web3 Content Managers**: For storing and managing Web3 content, including NFTs, gaming assets, and token-gated media, with verifiable provenance and secure access.
- 5**Data Marketplace Creators**: For building open, verifiable data marketplaces where data integrity, licensing, and provenance are paramount for transactions.
pricing
Walrus Memory Pricing & Plans
Walrus Memory operates on a freemium model, offering basic access with a pay-as-you-go structure for storage and network security. As of May 13, 2026, Walrus implemented predictable pricing for storage at $0.023 per GB per month. This price is fixed in USD but requires payment in WAL tokens. It is important to note that files stored on Walrus are encoded with erasure coding, which roughly increases their size by a factor of 4.5-5 to ensure distributed and resilient storage. A free launch period with certain usage limits was also offered upon its initial release.
- 1Freemium: Basic access, pay for storage and network security with WAL token.
- 2Storage: $0.023 per GB per month (fixed in USD, paid in WAL token).
competitors
Walrus Memory vs Competitors
Walrus Memory positions itself as a crucial infrastructure layer for the 'agentic future' of AI, emphasizing decentralization, verifiability, and portability. It differentiates itself from traditional centralized databases by offering data sovereignty and from older decentralized storage projects by specifically targeting AI-related workloads and on-chain finance applications, built on the Sui Stack by Mysten Labs.
1
Mem0 provides a dedicated, intelligent AI memory layer that persists across sessions and agents, optimizing for lower token costs and faster responses.
Similar to Walrus Memory, Mem0 offers persistent context for AI agents. While Walrus Memory emphasizes decentralization, Mem0 focuses on enterprise-grade governance, reliability, and observability for its memory infrastructure.
2
MEMO (Memolabs)↗
MEMO is a decentralized AI data infrastructure network providing verifiable data ownership and a secure, trustworthy memory layer for AI agents using blockchain technology.
MEMO directly competes with Walrus Memory on the decentralized aspect of AI agent memory, focusing on user data ownership and blockchain-based verification, whereas Walrus Memory is described as a 'decentralized, universal memory layer.'
3
Zep↗
Zep offers a dedicated memory layer for AI applications with features like entity extraction, progressive summarization, and both semantic and temporal search for persistent context.
Zep provides a robust memory layer for AI agents, similar to Walrus Memory's persistent context. Zep's focus includes structured memory management and efficient retrieval through semantic and temporal search, while Walrus Memory highlights its universal and decentralized nature.
4
UniversalContext↗
UniversalContext is a model-agnostic AI value layer that unifies scattered organizational knowledge into a shared, consistent context for AI agents, ensuring zero vendor lock-in.
UniversalContext aims to provide a shared, unified context across different AI models and tools, similar to Walrus Memory's 'universal memory layer.' However, UniversalContext emphasizes model agnosticism and enterprise-level knowledge unification, while Walrus Memory focuses on decentralization and persistent context sharing.
❓
Frequently Asked Questions
+What is Walrus Memory?
Walrus Memory is a decentralized data platform and storage protocol tool developed by Mysten Labs that enables developers and AI agents to maintain context across various applications, sessions, and workflows. It functions as a verifiable and programmable memory layer for AI agents, addressing the 'memory problem' in AI.
+Is Walrus Memory free?
Walrus Memory operates on a freemium model, offering basic access. Storage and network security are paid for using the WAL token, with a predictable pricing of $0.023 per GB per month, fixed in USD. A free launch period with certain usage limits was also offered.
+What are the main features of Walrus Memory?
Walrus Memory offers a decentralized universal memory layer for AI agents, persistent context sharing, an available API, secure and programmable data via smart contracts, and always-available verifiable data with tracked history. It also includes features like private data control, agentic payments, and specialized SDKs like 'MemWal' for long-term memory.
+Who should use Walrus Memory?
Walrus Memory is designed for developers and builders in AI and onchain finance. This includes those deploying autonomous AI agents, training AI models on verifiable content, powering DeFi applications, building data marketplaces, and managing Web3 content like NFTs, gaming assets, and token-gated media.
+How does Walrus Memory compare to alternatives?
Walrus Memory differentiates itself by providing a decentralized, universal, portable, and verifiable memory layer for AI agents, built by Mysten Labs on the Sui Stack. Unlike centralized databases, it offers data sovereignty. Compared to competitors like Mem0, MEMO, Zep, and UniversalContext, Walrus Memory emphasizes its decentralized nature and integration with the Sui ecosystem for high-integrity AI and onchain finance applications.
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