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Supermemory

Memory engine and context API for AI assistants

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Supermemory is a memory and context platform for AI assistants and agents. It ranks #1 on LongMemEval, LoCoMo, and ConvoMem, supports MCP for Claude/Cursor-style clients, provides plugins for developer tools, and combines memory extraction, user profiles, hybrid search, connectors, and RAG in one API.

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Supermemory is a memory and context platform for AI assistants, developer tools, and agents. It addresses the cold-start problem in AI conversations by extracting durable facts, maintaining user profiles, handling temporal updates and contradictions, and retrieving relevant context when a model needs it. Current public sources support #1 positioning on LongMemEval, LoCoMo, and ConvoMem, along with 100B+ tokens/month platform messaging.

The product works as both an app and a developer platform. Its MCP server can connect memory to Claude Desktop, Cursor, Windsurf, VS Code, and other MCP-compatible clients, while open-source plugins cover tools such as Claude Code, OpenCode, OpenClaw, and Hermes. Connectors for sources such as Google Drive, Gmail, Notion, OneDrive, S3, GitHub, and web crawling help build context from real workflows rather than only chat history.

Pricing currently includes a Free tier, Pro at $19/month, Scale at $399/month, and additional usage/top-up or enterprise/contact options. Supermemory is best suited for teams that want one memory layer across assistants and agents, but buyers should evaluate privacy, retention, export, and vendor-dependency policies before making it the default place where long-term context accumulates.

Pricing

Free tier available; Pro is $19/month, Scale is $399/month, with usage/top-up and enterprise/contact options.

Platforms

Web app, Chrome extension, macOS, iOS, Android. MCP server for all major AI editors. TypeScript and Python SDKs.

Categories

Agent Skills & PromptsMCP ServersAgent Frameworks

Tags

Free TierMCPOpen SourceMulti-Model

Use Cases

Agentic DevelopmentLocal AI Workflows

Alternatives

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Used in Stacks

Multi-Agent AI Coding Stack

Maximize AI coding productivity: Oh My ClaudeCode for in-session orchestration, Baton for parallel multi-agent management, Supermemory for persistent context, and LightRAG for codebase knowledge retrieval.

varies

Self-Hosted AI Agent Stack

A complete self-hosted personal AI agent setup: OpenClaw as the agent gateway, Supermemory for persistent context, Lume for sandboxed execution, and Beszel to monitor everything.

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Comparisons

Supermemory vs Mem0 — Universal AI Memory Platform vs Managed Memory Layer

Supermemory and Mem0 both solve the AI amnesia problem — giving AI assistants persistent memory across conversations. Supermemory offers a complete context stack with RAG, user profiles, connectors, and an MCP server, while Mem0 provides a focused memory layer with simpler API integration. Your choice depends on whether you need a full platform or a lightweight memory component.

SupermemoryMem0