Own your memory, switch AI models without losing context.

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January 28, 2026

Anuma

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Own your memory, switch AI models without losing context.

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Overview

Anuma is a private multi-model AI chat tool aimed at facilitating personalization and privacy in artificial intelligence interactions. It provides a platform that enables the user to interchange between different AI models while maintaining previous interactions' context.

The unique feature of Anuma is its personal, unified memory layer that persists across various models, sessions, and agents, which prevents fragmentation or memory loss.

This ensures seamless transitions from one AI model to another, eradicating the need to reiterate previous explanations.The tool adopts a unique privacy-focused approach as it empowers its users to manage their memory independently with the ability to inspect, modify, export, augment, or delete it at will - reflecting Anuma's commitment to security and user autonomy.

By design, Anuma respects privacy by employing local-first, encrypted mechanisms. The platform does not log, store, or train on user data, maintaining a stringent privacy protocol.

This contributes to the integrity and confidentiality of user-intelligence interactions.Built to enhance the adaptability and adoption of AI, the tool is compatible with both leading and open-source AI models, adding further versatility.

It acknowledges users' ownership of their memory and intelligence, presenting a shift from traditional data ownership models dominated by corporations, thereby ensuring user-centric memory management.

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January 28, 2026

Mariano Maisterrena

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Initial release of Anuma.

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Author

Mariano Maisterrena

@mariano-maisterrena

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🇺🇸 United States

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Joined: January 2026

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US Meta Protocol Productivity

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Pros and Cons

Pros

Multi-model approach

Unified private workspace

Memory management control

No contextual loss

Data security

Single memory layer

Maintains context when shifting models

Full memory ownership

Amendable user memory

Encrypted data

Local-first approach

Data privacy protection

Non-persistence of user data

Community-oriented ethos

Compatibility with open-source models

User-centric platform

Supports multiple sessions and agents

Memory persist across models/sessions/agents

No memory fragmentation or reset

Doesn't log user data

Doesn't store user data

User privacy assurance

Additional augmentation choice

Protection against data ownership by corporations

Privacy-focused design

User intelligence confidentiality

User memory is exportable

Adoption friendly

View 23 more pros

Cons

Lacks real-time collaboration

No support for mobile

Non-intuitive user interface

Lack of integrations

No customer support

Steep learning curve

Non-persistence of user data can limit personalization

Limited compatibility with business environments

No clear pricing structure

Limited language support

View 5 more cons

Q&A

What is Anuma?

Anuma is an innovative AI chat tool that employs a unique multi-model approach. Its primary function is to serve as a unified, private workspace enabling users to manage their memories and switch AI models without loss of context, all while ensuring data security.

How does the multi-model approach of Anuma work?

Anuma's multi-model approach functions by allowing you to switch between various standard and open-source AI models while retaining context. The AI tool employs a unified memory layer that operates across these different models, ensuring a seamless transition and persistence of conversation context.

What is meant by 'unified memory' in Anuma?

Unified memory in Anuma refers to the AI's unique feature of a single memory layer that operates across various different AI models. This memory layer persists through different sessions and with multiple agents, all without the risk of fragmentation or reset. Essentially, it serves as a connective tissue, linking conversational context even when switching models.

Can I switch AI models without losing context in Anuma?

Yes, the unique design of Anuma allows you to switch AI models without losing context. This is made possible by its unique memory layer which ensures continuity and context across different models.

Does Anuma ensure data security?

Yes, Anuma does ensure data security. It is constructed with a private design employing a local-first approach along with encryption. This design strategy counters corporations owning user data and strengthens the personal space Anuma is committed to fostering.

How can I manage my memory in Anuma?

In Anuma, you have complete control and ownership of your memory. You can inspect it, manipulate it, export it, augment it, and delete it at your discretion.

+ Show 34 more

Which standard and open-source AI models does Anuma work with?

On their website, they mention that Anuma operates across various standard and open-source AI models. However, Specific AI models are not explicitly mentioned.

What does it mean that Anuma operates 'without fragmentation or reset'?

Operating 'without fragmentation or reset' in Anuma means that the AI maintains a unified memory layer that operates across different AI models and sessions without any breakdown or disruption in context. Irrespective of switching models or agents, Anuma's memory retains the full context and continuity.

Do I have full control and ownership of my memory in Anuma?

Yes, you have full control and ownership of your memory in Anuma. You have the flexibility to inspect it, manipulate it, export it, augment it, or delete it as you wish.

Can I export or delete my memory in Anuma?

Yes, Anuma allows you to export and delete your memory as and when needed. This flexibility is part of Anuma's commitment to enabling full user control and ownership over their data.

How does Anuma protect user data privacy?

Anuma upholds a strong commitment to user data privacy. It stands against the logging, storing, or utilizing user data. The AI chat tool employs a local-first approach complemented by encryption. This strategy prevents corporations from claiming ownership over user data and strengthens the privacy factor.

What is Anuma's local-first approach?

Anuma's local-first approach pertains to a design and data strategy that prioritizes local data storage, processing, and use, thus ensuring greater user control, privacy, and data security by reducing reliance on external or cloud storage.

What kind of encryption does Anuma use?

The exact encryption technology used by Anuma is not specifically detailed on their website. However, the fact that Anuma uses encryption as part of its data privacy and security strategy is mentioned.

Does Anuma store or log my data?

No, Anuma does not store or log your data. It is designed to focus on data privacy and security. As such, Anuma uses a local-first approach and encryption to avoid logging, storing or using user data.

Who owns my user data in Anuma?

In Anuma, you own your user data. The ownership of memory, which entails control over inspecting, editing, exporting, augmenting, and deleting memory lies entirely with the user.

Can Anuma be used with various AI models?

Yes, Anuma can be used with various AI models. It operates across various standard and open-source AI models, allowing the users to switch between these models without a loss of context or continuity.

What makes Anuma user-empowered?

Anuma is user-empowered as it gives complete control and ownership of the data to the user. You can inspect, edit, export, add to, or delete memory at any time, thus providing maximum control over your data and conversations.

Is Anuma community-oriented?

Anuma is indeed community-oriented. It is driven by a community-oriented ethos, which aims to create a more user-empowered conversation in the field of AI.

How does Anuma maintain contextual continuity?

Anuma ensures contextual continuity through its unique feature of unified memory. This functions like a connective tissue, carrying context from one model to another, and from one session to another, without any fragmentation or reset.

Can I augment my memory in Anuma?

Yes, Anuma not only allows you to inspect and manage your memory but also permits you to augment it. This feature falls under the spectrum of privileges offered to the user for having complete control and ownership of their data.

What is Anuma?

Anuma is a multi-model AI chat tool that allows users to manage their own memories, swap different AI models without losing context, and ensures user data privacy. Characterised by its personalised, unified memory layer, Anuma operates across various AI models during different sessions and with different agents. It is designed to promote user autonomy, security, privacy, and data ownership.

How does the unified memory layer of Anuma work?

Anuma's unified memory layer works across every leading and open-source AI model and agents. This connectivity between various models, sessions, and agents enables memory to persist without fragmentation or reset. In doing so, Anuma facilitates the preservation of context and the user's memory.

Can I interchange between different AI models using Anuma?

Yes, Anuma allows the user to efficiently interchange between different AI models. It ensures that the transition between AI models doesn't disrupt the context of previous interactions.

How does Anuma maintain context during model switches?

Anuma maintains context during model switch through its unified memory layer. This layer persists across different AI models, sessions, and agents without fragmentation or reset. It keeps track of previous interactions and ensures a seamless transition between AI models.

Does Anuma store or log user data?

No, Anuma doesn't log, store, or train on user data. Its design is privacy-focused and respects user autonomy.

What does Anuma mean by a 'Private by design' approach?

'Private by design' approach of Anuma refers to the strict privacy protocol it adopts. Anuma ensures encryption and locality of data, without logging, storing or training on user data. It gives users full ownership of their memory and data.

How can I inspect, modify, export, augment, or delete my memory in Anuma?

Anuma gives users total control over their memory. You can inspect, modify, export, add to, or delete your memory at any point. This reflects the platform's commitment to user autonomy and security.

Is Anuma compatible with open-source AI models?

Yes, Anuma is designed to be compatible with both commercial and open-source AI models. This enhances its adaptability and ensures its broad usability across various AI platforms.

Can I use Anuma to manage my own memories?

Yes, Anuma allows users to manage their own memories. It provides a private workspace that facilitates full user control, from inspecting and manipulating to exporting or deleting their memories.

What steps does Anuma take to ensure user data privacy?

Anuma takes several steps to ensure user data privacy. It adopts a local-first approach, uses encryption, and maintains a strict protocol of not logging, storing, or using user data for training. The user is given full control over their memory and it ensures the data remains private and secure.

Does Anuma respect my privacy by using a local-first approach?

Yes, Anuma respects user privacy by employing a local-first approach. This means that the user's data is primarily stored and processed locally, which minimises exposure to potential data breaches.

How does Anuma's unique memory layer prevent memory loss during model transitions?

Anuma's unique memory layer maintains a persistent and unified memory across models, sessions, and agents. This unbroken connective tissue of memory avoids fragmentation or reset even during AI model transitions, thus preventing memory loss.

Does Anuma empower its users to manage their memory independently?

Yes, Anuma empowers users to independently manage their memory. They can inspect, modify, export, augment, or delete their memory, which is a reflection of Anuma’s dedication to user autonomy and data security.

What does the term 'User Privacy Protection' mean in relation to Anuma?

The term 'User Privacy Protection' in relation to Anuma stands for its robust measures to safeguard user data and maintain privacy. It implies a local-first approach, use of encryption, non-logging and storing of user data, and giving complete ownership of data to the user.

Why is Anuma called a 'Private AI chat tool'?

Anuma is termed as a 'Private AI chat tool' due to its emphasis on securing user data and memory. It does not log or store user data and employs a local-first, encrypted protocol, giving full control of the memory to the user.

How does Anuma ensure the data integrity?

Anuma ensures data integrity by employing encryption mechanisms and a local-first approach. It also maintains stringent privacy protocol by not logging, storing, or training on user data.

Is it possible to swap AI models without losing contextual input in Anuma?

Yes, Anuma is designed in a way that allows swapping AI models without losing contextual input. The unified memory layer helps preserve context during transfers between different AI models.

How is Anuma different from other AI chat tools?

Anuma differs from other AI chat tools in its ability to provide a unified, private workspace for users to manage their own memories, and switch between AI models without context loss. Additionally, it puts user data privacy and ownership at the forefront of its design—a stand that is distinct from many other tools in the market.

Can Anuma work with multiple AI models concurrently?

Yes, Anuma can work with multiple AI models concurrently. Its unique memory layer operates across various standard and open-source AI models, and with different agents, ensuring a seamless transition between them.

What type of data encryption does Anuma use for user privacy?

While the specific type of data encryption employed by Anuma is not mentioned, the service is described as employing encryption measures to prioritize user data privacy and security.

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