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Supermemory ✓

The memory layer for AI agents.

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Memory Layer Memory Management SuperRAG
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Knowledge Graph Platform Integration Real-time Synchronization Knowledge
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Verdict

A quick read before you dig into the full page.

Best if
The memory layer for AI agents
Skip if
Limited user understanding model
Pick this when
Boosts commercial APIs

Considering Constella instead? Compare side by side

Overview

Supermemory is an advanced artificial intelligence (AI) memory layer that boosts commercial APIs, techies' plugins, and an individual-designed application that boasts a remarkable recall function.

As an AI memory management tool, Supermemory offers progressive features such as state-of-the-art memory, SuperRAG (Retrieval), Profiles, Extractors and Connectors, which create an ideal context for AI agents.

Supermemory's core functionality comprises Memory and Continual Learning, using a cutting-edge memory that boasts of being persistent, structured, built as a knowledge graph using a custom user understanding model.

The tool provides a SuperRAG retrieval function, offering hybrid search, reranking, and structured context for documents with incredibly low latency. Connectors allow integration of various platforms such as Slack, Notion, Drive, Gmail, GitHub, S3, among others, with real-time synchronization.

Supermemory facilitates the extraction of files types including PDFs, web pages, images, and audio into memory objects that are ready for use by AI agents.

Profiles provide preference, behavior, and identity context that remains consistent across sessions. This solution also offers a personal Supermemory app, providing one memory across everything the user utilizes.

The tool is self-hostable and facilitates TypeScript & Python SDKs. Its benefits include latency under 300ms and an easy start-up process, requiring only five minutes to begin realizing the benefits of this advanced memory management tool.

Supermemory website

Access & connections

Where you can use Supermemory, and what it plugs into.

Platforms

Web Chrome Extension

Integrations

Notion GitHub Slack Gmail

Capabilities

What this tool accepts, produces, and is strongest at.

Supported features

  • Memory
  • Instant file search

Pros & cons

Pros

  • Boosts commercial APIs
  • Supports techies' plugins
  • Advanced recall function
  • State-of-the-art memory
  • Features SuperRAG Retrieval
  • Provides profiles
  • Includes Extractors
  • Integrates with Connectors
Show 43 more
  • Enables platform integration
  • Offers real-time synchronization
  • Extracts file types
  • Supports user identity context
  • Integrated Personal App
  • Self-hostable software
  • Supports TypeScript SDKs
  • Supports Python SDKs
  • Latency under 300ms
  • Fast startup process
  • Generates Knowledge Graph
  • Allows hybrid search
  • Enables reranking
  • Structured document context
  • Integrates with various platforms
  • Extracts web pages
  • Extracts images
  • Extracts audio files
  • Profile consistency across sessions
  • Persistent memory
  • Ingests data quickly
  • Compatible with major languages
  • Optimized content extraction
  • Includes entity model
  • Performs unified query
  • Handles qualitative analysis
  • Custom user understanding model
  • Converts raw files
  • Clusters user signals
  • Explains user signals
  • Summarizes user signals
  • Requires only five minutes setup
  • Automatic content synchronization
  • Provides preference context
  • Performs behavior context
  • Memory, RAG, profiles in one graph
  • In-built connectors and extractors
  • Parallel context coherency
  • Works with Mount Filesystem
  • Offers enterprise solutions
  • Multiple hosting options
  • Compliant with SOC 2
  • Compliant with GDPR

Cons

  • Requires constant internet access
  • Latency issues potential
  • Supported languages limited
  • Limited file type extraction
  • Limited platform integration
  • Highly dependent on plugins
  • Potential data privacy concerns
  • Limited user understanding model
Show 2 more
  • No mobile application
  • Requires technical knowledge

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Releases 1

Initial release May 16, 2024 Current
Initial release of Supermemory.

FAQ 12

What is Supermemory and how does it function?
Supermemory is an advanced artificial intelligence memory layer designed to boost commercial APIs, developer plugins, and individual applications. Its core functionalities include Memory and Continual Learning, which harness a state-of-the-art memory system that's persistent, structured, and built as a knowledge graph. Supermemory also provides a SuperRAG retrieval function for efficient, low-latency, document search and reranking. To facilitate integration with various platforms, Supermemory employs Connectors, facilitating real-time platform synchronization. To generate suitable contexts for AI agents, Supermemory uses Extractors to convert various file types into memory objects and establishes Profiles for maintaining consistent behavior and identity contexts across sessions. To top it all off, Supermemory offers personal memory apps and supports self-hosting, as well as TypeScript & Python SDKs.
How does Supermemory enhance commercial APIs and tech plugins?
Supermemory enhances commercial APIs and tech plugins by providing an advanced memory layer that boosts their performance. This capability arises from the dynamic memory management toolset offered by Supermemory, which includes features like progressive state-of-the-art memory, SuperRAG retrieval, Profiles, Extractors, and Connectors. These comprehensive features create an ideal context for AI agents, making the APIs and plugins more efficient and effective.
What's a Recall Function and how does it perform within Supermemory?
The Recall Function in Supermemory is a part of the SuperRAG retrieval feature. This function allows for hybrid search and reranking of documents, delivering efficient, structured, and context-rich results at incredibly low latency times. The remarkable recall function in Supermemory enhances the tool's ability to retrieve information in a quick, efficient, and context-relevant manner.
What are the key features of Supermemory and why are they beneficial?
Key features of Supermemory include its advanced memory system, SuperRAG retrieval function, Profiles, Extractors, and Connectors. The advanced memory component is built as a knowledge graph and is persistent and structured, making it state-of-the-art. SuperRAG provides hybrid search and reranking capabilities at sub-300ms latency. Profiles ensure user preference, behavior, and identity contexts remain consistent across sessions. Extractors convert different file types into memory objects ready for use, while Connectors offer real-time synchronization with platforms like Slack, Notion, and Gmail. These features are beneficial as they enhance overall memory management, boost efficiency, and improve recall and retrieval functions.
What is SuperRAG in Supermemory and what is its purpose?
SuperRAG is a key part of Supermemory's advanced memory management toolset. Standing for Retrieval, it supports a hybrid search, reranking, and structured context for documents, offering results at incredibly low latency. This powerful retrieval capability ensures information is readily available when needed, providing quick and efficient access to stored data.
How does Supermemory integrate with platforms like Slack, Notion, Drive, and Gmail?
Supermemory integrates with platforms like Slack, Notion, Drive, Gmail, and others through its Connectors feature. Connectors allow real-time synchronization between these platforms and Supermemory, ensuring seamless integration and enabling AI agents to access a broad range of data sources in a unified way.
What file types can Supermemory extract into memory objects?
Supermemory can extract various file types, including PDFs, web pages, images, and audio, and convert them into memory objects. These objects are then ready for use by AI agents, contributing to an efficient and streamlined memory management process.
How does Supermemory manage user profiles and maintain consistency across sessions?
Supermemory manages user profiles and maintains consistency across sessions with its Profiles feature. This feature provides a preference, behavior, and identity context for each user, enabling a coherent and personalized user experience every time. The context stays the same across sessions, ensuring that user preferences are remembered.
What does it mean that Supermemory is self-hostable?
Supermemory being self-hostable means that it can be hosted on the user's own server or environment, offering flexibility and control over data security and accessibility. This capacity is highly advantageous for businesses or individuals who prioritize data sovereignty or operate in regions with strict data residency requirements.
How does the Supermemory personal app work and what can it do?
The Supermemory personal app provides one memory across everything a user utilizes. It provides an efficient and unified way for users to recall, manage, and connect all the information they interact with on different platforms. This feature enhances knowledge management, productivity, and user experience.
How long does it take to start up Supermemory and begin seeing benefits?
Getting started with Supermemory is quick and simple. It has an easy start-up process that typically takes five minutes to initiate. This speed and ease of setup allow users to start taking advantage of this advanced memory management tool swiftly, without cumbersome installations or configurations.
What programming languages does Supermemory support?
Supermemory facilitates Software Development Kits (SDKs) in both TypeScript and Python. Therefore, developers working with either or both of these programming languages can implement and work with Supermemory with ease.
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