Supermemory
FreemiumState‑of‑the‑art memory, retrieval and context platform for AI agents.
工具信息
什么是 Supermemory？
Supermemory provides a persistent, structured memory and retrieval layer (RAG) for AI agents. It lets agents keep knowledge graphs, user profiles and low‑latency context across any model, while offering built‑in connectors, extractors and a virtual filesystem.
核心功能
Memory & Continual Learning
Persistent, structured knowledge‑graph memory powered by a custom user‑understanding model and dynamic dreaming.
SuperRAG (Retrieval)
Hybrid search with reranking and structured context, delivering sub‑300 ms latency for document retrieval.
Filesystems
A real filesystem mount that lets agents use POSIX commands (ls, cat, grep) while providing semantic search and automatic indexing of any file format.
Profiles
Preference, behavior and identity context that stays coherent across sessions, enabling agents to remember users.
Connectors
Built‑in connectors for Slack, Notion, Drive, Gmail, GitHub, S3 and custom sources, syncing data in real time.
Extractors
Turn PDFs, web pages, images, audio and raw files into agent‑ready memory objects with smart chunking and multi‑modal extraction.
Qualitative Analysis
In‑place clustering, summarization and explanation of user signals without exporting data, keeping information within defined boundaries.
使用场景
- #1
Enterprise AI agents
Deploy low‑latency, high‑quality memory and retrieval for internal AI assistants and automation workflows.
- #2
Personal AI assistant (Personal Supermemory)
A single memory that spans multiple personal AI tools, letting each assistant recall what the user taught another.
- #3
Developer prototyping
Quickly build and test agents with SDKs, connectors and extraction primitives without managing separate vector stores.
定价方案
Simple usage‑based pricing with Free, Pro, Max and Scale tiers.
替代工具
常见问题
什么是 Supermemory？
State‑of‑the‑art memory, retrieval and context platform for AI agents.
如何使用 Supermemory？
访问官方网站 https://supermemory.ai/ 开始使用 Supermemory。