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Walrus Memory

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What is Walrus Memory?

Portable, permissioned memory layer that lets AI agents keep context across apps and sessions.

Walrus Memory is a portable memory layer for AI agents that lets them keep context and work across apps, runtimes, and sessions instead of resetting every time. Agents integrate via a Python or TypeScript SDK with two calls — remember and recall — while the service handles authentication, encryption, embeddings, and storage on the Walrus verifiable data platform. Memories carry programmable permissions, so users decide how each memory is shared, accessed, and updated, and shared memory spaces let multiple agents coordinate across long-running workflows. Integrates with Claude, ChatGPT, and Gemini.

Key Features

Remember/recall SDK in Python and TypeScript
Programmable per-memory permissions
Encrypted storage on the Walrus data platform
Shared memory spaces for multi-agent coordination
Works across runtimes, apps, and sessions
Claude, ChatGPT, and Gemini integrations

Use Cases

Giving coding agents persistent project memory
Multi-agent workflow coordination
Cross-app personal assistant context
Long-running agent workflows
agent-memoryai-agentssdkcontext-persistenceinfrastructuremulti-agent
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Frequently asked questions

Is Walrus Memory free?
Walrus Memory offers a free trial.
What is Walrus Memory used for?
Walrus Memory is used for Giving coding agents persistent project memory; Multi-agent workflow coordination; Cross-app personal assistant context; Long-running agent workflows.
What are alternatives to Walrus Memory?
See the ranked list of Walrus Memory alternatives in the Developer Tools category on ContentBuffer.

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