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Memory layer for AI apps

AI apps forget. MemoryNode remembers.

MemoryNode gives AI a memory—so it remembers what matters and feels smarter every time you use it.

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How we serve

Get MemoryNode live in one flow.

Direct API flow

curl -X POST "https://api.memorynode.ai/v1/context" -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d "{\"user_id\":\"user-123\",\"namespace\":\"default\",\"query\":\"build onboarding checklist\",\"top_k\":5}"

For developers

One-line setup. Infinite recall for your AI apps.

Memory Compression Engine

MemoryNode compresses chat history into high-value memory blocks so your assistants retain context while controlling token usage and latency.

  • Streams save events and retrieval diagnostics to your runtime logs
  • Cuts repeated prompt context before every model call
  • Keeps essential user preferences and workflow states available

Zero friction setup

Add memory to your AI stack in one integration path with no orchestration rewrite.

Flexible framework compatibility

Works with OpenAI, LangGraph, CrewAI and custom flows in Python or JavaScript.

Built-in observability and tracing

Track TTL, memory size, and access events to debug, optimize, and audit with confidence.

Launch memory-powered AI now

Build a fast, smooth memory workflow for your product teams.

Start self-serve with a key, then scale using the same API and trust surface.

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