Supermemory

简介

Supermemory 是一款专为 AI 时代打造的智能记忆 API 服务。在人工智能应用日益复杂的今天，如何高效地管理和调用上下文信息已经成为开发者和企业面临的核心挑战。Supermemory 提供了一种轻量级、高可用的解决方案，帮助各类 AI 应用实现持久化、结构化的记忆存储与快速检索。无论是构建智能助手、个性化推荐系统，还是开发长对话场景下的聊天机器人，Supermemory 都能让您的 AI 应用真正“记住”用户偏好、历史交互和关键数据，从而大幅提升用户体验与系统智能度。

主要功能

• 语义记忆存储：支持将任意文本、对话片段或用户行为数据转化为高维向量，并自动建立索引，实现基于语义的精准匹配。
• 快速检索与召回：毫秒级响应，支持 Top-K 相似度查询、时间范围过滤以及标签筛选，满足不同场景下的实时记忆调用需求。
• 记忆生命周期管理：提供灵活的过期策略、自动清理与优先级排序，确保记忆库始终保持高效与新鲜度。
• 多模态扩展接口：除了文本，还支持图片描述、语音转文字后的记忆存储，为多模态 AI 应用奠定基础。
• 安全与隐私保障：所有数据传输采用 TLS 加密，支持用户级隔离与细粒度的访问控制，符合企业级合规要求。

特色优势

• 开箱即用：提供简洁的 RESTful API 和主流语言 SDK（Python、JavaScript、Go），开发者仅需三行代码即可完成记忆写入与查询。
• 弹性扩展：基于云原生架构设计，自动根据负载水平伸缩，从个人项目到百万用户级应用均能稳定运行。
• 成本可控：采用按量计费模式，无最低消费，且内置数据压缩与去重机制，显著降低存储与计算成本。
• 深度 AI 集成：原生支持与 LangChain、LlamaIndex 等主流 AI 框架对接，可直接作为长期记忆组件嵌入现有智能体系统。

适用人群

• AI 应用开发者：需要为聊天机器人、虚拟助手或客服系统添加长期记忆能力，提升对话连贯性与个性化程度。
• 产品经理与创业者：正在构建下一代智能产品，希望借助记忆 API 快速验证“用户记忆”场景，缩短开发周期。
• 数据科学家与研究员：探索上下文增强的生成式 AI 应用，需要一个稳定、高效的记忆层来支撑实验与原型开发。
• 企业 IT 团队：需要在内部知识库、智能搜索或员工助手等系统中集成持久化记忆功能，同时满足数据安全与合规要求。

常见问题

Q: Supermemory 与传统数据库或向量数据库有什么区别？
A: Supermemory 是专为 AI 记忆场景优化的托管服务，不仅提供向量存储与检索，还内置了记忆优先级管理、过期策略、上下文压缩等 AI 应用特有的逻辑，开发者无需自行搭建和维护复杂的索引系统。

Q: 记忆数据的安全性如何保障？
A: 所有数据在传输和存储过程中均采用 AES-256 加密，每个用户的数据空间彼此隔离。同时提供细粒度的 API 密钥管理，支持按项目、按用户维度设置访问权限。

Q: 免费额度或试用期是怎样的？
A: 我们为新用户提供每月 10 万次 API 调用与 1GB 记忆存储的免费额度，无需绑定信用卡即可开始体验。超出后可随时升级至付费套餐。

Q: 是否支持自托管部署？
A: 目前提供标准 SaaS 服务，同时为企业客户提供私有化部署方案。如有需求，可联系销售团队获取详细方案与报价。

English

Introduction

Supermemory is an intelligent memory API service built for the AI era. As AI applications grow increasingly complex, efficiently managing and retrieving contextual information has become a core challenge for developers and enterprises. Supermemory offers a lightweight, highly available solution that enables persistent, structured memory storage and fast retrieval for a wide range of AI applications. Whether you are building intelligent assistants, personalized recommendation systems, or chatbots for long-conversation scenarios, Supermemory empowers your AI applications to truly "remember" user preferences, historical interactions, and key data—significantly enhancing user experience and system intelligence.

Key Features

• Semantic Memory Storage: Converts arbitrary text, conversation snippets, or user behavior data into high-dimensional vectors with automatic indexing, enabling precise semantic matching.
• Fast Retrieval & Recall: Millisecond-level response times, supporting Top-K similarity queries, time-range filtering, and tag-based filtering to meet real-time memory retrieval needs across various scenarios.
• Memory Lifecycle Management: Provides flexible expiration policies, automatic cleanup, and priority ranking to keep the memory store efficient and up to date.
• Multimodal Extension Interface: Beyond text, supports memory storage from image descriptions and speech-to-text outputs, laying the groundwork for multimodal AI applications.
• Security & Privacy Protection: All data transmission is encrypted with TLS, with user-level isolation and fine-grained access control to meet enterprise compliance requirements.

Highlights

• Out-of-the-Box Experience: Offers a clean RESTful API and SDKs for mainstream languages (Python, JavaScript, Go). Developers can complete memory writes and queries with just three lines of code.
• Elastic Scalability: Built on a cloud-native architecture that automatically scales with load, ensuring stable performance from personal projects to applications with millions of users.
• Cost Efficiency: Pay-as-you-go pricing with no minimum commitment, plus built-in data compression and deduplication to significantly reduce storage and compute costs.
• Deep AI Integration: Natively integrates with leading AI frameworks such as LangChain and LlamaIndex, and can be embedded directly as a long-term memory component in existing agent systems.

Who It's For

• AI Application Developers: Need to add long-term memory capabilities to chatbots, virtual assistants, or customer support systems to improve conversational coherence and personalization.
• Product Managers & Entrepreneurs: Building next-generation intelligent products and looking to quickly validate "user memory" scenarios with a memory API to shorten development cycles.
• Data Scientists & Researchers: Exploring context-augmented generative AI applications and needing a stable, efficient memory layer to support experiments and prototyping.
• Enterprise IT Teams: Need to integrate persistent memory features into internal knowledge bases, intelligent search, or employee assistant systems while meeting data security and compliance requirements.

FAQ

Q: What is the difference between Supermemory and traditional databases or vector databases?
A: Supermemory is a managed service optimized specifically for AI memory scenarios. It not only provides vector storage and retrieval but also includes AI-specific logic such as memory priority management, expiration policies, and context compression—so developers don't need to build and maintain complex indexing systems themselves.

Q: How is the security of memory data ensured?
A: All data is encrypted with AES-256 during both transmission and storage, and each user's data space is isolated from others. Fine-grained API key management is also provided, allowing access permissions to be set per project or per user.

Q: What about free quotas or trial periods?
A: New users receive a free tier of 100,000 API calls and 1GB of memory storage per month, with no credit card required to get started. You can upgrade to a paid plan at any time once you exceed the free limits.

Q: Is self-hosted deployment supported?
A: We currently offer standard SaaS service, and also provide private deployment options for enterprise customers. If needed, please contact our sales team for detailed solutions and pricing.