Trusted by teams and startups worldwide
Used by 50k+ Developers From
Why Choose Memory Layer?
Give your AI the power of long-term memory and context awareness
Persistent Memory
Your AI remembers every conversation, context, and preference across all sessions.
Lightning Fast Retrieval
Access relevant memories instantly with advanced semantic search and vector embeddings.
Enterprise Security
Bank-grade encryption and isolated tenancy ensure your data stays private and secure.
Developer-First API
Simple REST API and MCP integration. Get started in minutes with comprehensive docs.
Real-Time Analytics
Track memory usage, search patterns, and token consumption with live dashboards.
Context-Aware AI
Transform your AI from stateless to stateful with long-term memory capabilities.
How It Works
Get started with Memory Layer in four simple steps
Get Your API Key
Sign up and generate your API key in seconds. Start with our generous free tier.
Integrate Memory Layer
Use our REST API or MCP server to connect your AI agents and applications.
Store & Retrieve Memories
Save context, conversations, and data. Search semantically across all memories.
Build Smarter AI
Your AI now remembers everything. Create truly personalized, context-aware experiences.
Ready to give your AI long-term memory?
Start Building for FreeLoved by Developers Worldwide
Join thousands of developers building smarter AI with Memory Layer
"Memory Layer transformed our chatbot from stateless to truly intelligent. Our users love the personalized experience."
"The API is incredibly simple yet powerful. We integrated it in under an hour and saw immediate value."
"Finally, a memory solution that scales. We're processing millions of memories with zero performance issues."
"The semantic search is mind-blowing. Our AI agents can now recall context from months ago instantly."
"Best-in-class security and isolation. Perfect for our enterprise clients who demand data privacy."
"The MCP integration with Cursor is seamless. My AI coding assistant now remembers my entire project context."
Rated 4.9/5 from over 2,000+ developers
Frequently Asked Questions
Everything you need to know about Memory Layer
Memory Layer is an intelligent memory infrastructure for AI systems. It stores, organizes, and recalls information like a human brain — allowing your AI or app to remember context, user data, and past interactions. It uses embeddings and vector-based search to retrieve relevant information in milliseconds.
Memory Layer dynamically updates and refines stored data, ensuring your AI accesses only the most relevant memories for any query. This leads to higher accuracy, better personalization, and reduced repetitive processing — effectively giving your AI a persistent long-term memory.
Yes. All data is encrypted in transit and at rest. You control what gets stored, updated, or deleted. No external sharing occurs without explicit consent. You can also self-host Memory Layer or integrate it with your existing Supabase setup for full data ownership.
You can integrate Memory Layer using either the API or MCP (Memory Control Plane). Using the API: Send HTTP POST or GET requests to store, search, or delete memories. The API supports JSON payloads for easy integration with any backend. Using MCP: If you're working with LLMs or AI agents, you can connect directly via the MCP protocol — enabling real-time context sync and recall between your model and Memory Layer with minimal setup. Both methods are designed for fast, low-latency communication and full developer control.
The dashboard shows real-time system analytics, including Memories Stored, Search Queries, Tokens Processed, and Active Connections. These KPIs help you monitor performance, understand usage, and optimize how your app interacts with Memory Layer.
You can store your entire codebase, function definitions, or project snippets inside Memory Layer as structured "memories." When your AI assistant or model receives a coding-related query, it can search the Memory Layer via API or MCP to instantly recall relevant files, logic, or patterns. This ensures your AI always remembers your project's structure, past logic, and naming conventions — so it never "forgets" context across sessions or deployments.
Still have questions?
Contact our support team