Now in Early Access

Your AI agent forgets everything.
We fixed that.

AMR is the memory layer for AI agents. Remember, recall, share, and forget — in 3 lines of code. Works with any framework. Starts at $5/mo.

Free during beta · $5/mo at launch · Cancel anytime

The Problem

Your agents forget everything

Every conversation starts from zero. Every preference forgotten. Every context — gone. You're building the most sophisticated AI system and it can't remember what you told it 5 minutes ago.

💸

Stuff the Prompt

Shove everything in the system prompt — token costs go brr

🕐

Build Your Own

Roll a vector DB pipeline — weeks of work, not your product

🤷

Just… Don't

Most people skip memory entirely. Users suffer.

How It Works

Dead simple. Ridiculously fast.

🧠

Remember

Store any memory with automatic embedding and indexing. No vector DB setup. No embedding pipeline. Just amr.remember() and you're done.

🔍

Recall

Semantic search that returns what's actually relevant — not keyword matches. Sub-50ms p99 latency. Your agent asks a question, it gets the right memory.

🤝

Share

Multi-agent memory sharing with explicit permissions. Agent A stores a memory, Agent B gets it in real-time via WebSocket. Your agents finally have a shared brain.

Developer Experience

3 lines. That's the whole integration.

SDKs for Python, TypeScript, and Rust. Integrations with LangChain, CrewAI, AutoGen, and OpenClaw.

main.py 
from amr import AMR

amr = AMR("amr_sk_...")
amr.remember("User prefers dark mode and vim keybindings")

# Later, in any session...
memories = amr.recall("What are the user's preferences?")
# → "User prefers dark mode and vim keybindings" (score: 0.94)
Pricing

Pricing that doesn't make you think twice

Starter
$5/mo
Everything you need to ship
  • 10,000 memories stored
  • 50,000 API calls/month
  • 5 agents
  • Auto-embedding — you send text, we handle vectors
  • Sub-50ms semantic recall
  • Tenant-isolated, encrypted at rest
  • Community support
Get Started

No surprise fees. No usage-based gotchas.

Pro
$25/mo
For production workloads
  • 100,000 memories stored
  • 500,000 API calls/month
  • Unlimited agents & namespaces
  • WebSocket real-time streaming
  • Priority support
FAQ

Common questions

How is this different from just using a vector database?
A vector DB is infrastructure. AMR is a product. You don't need to manage embeddings, write retrieval logic, handle tenant isolation, or build cleanup pipelines. You call remember() and recall(). We handle everything else.
What frameworks do you support?
All of them. AMR is a REST + WebSocket API with SDKs for Python, TypeScript, and Rust. We have first-class integrations with LangChain, CrewAI, AutoGen, and OpenClaw. If your framework can make HTTP calls, it works with AMR.
Is my data secure?
Yes. Every tenant gets isolated storage (separate Qdrant collections, row-level PostgreSQL isolation). Data is encrypted at rest. API keys are hashed, never stored plaintext. We take security seriously.
Can I self-host?
Enterprise plan includes a self-hosted option. We're also planning a self-hosted embedding mode so you can keep your data fully local while using AMR Cloud for the memory API.
What happens if I exceed my plan limits?
You'll get clear warnings before hitting limits. We don't silently charge overages. If you need more, upgrade to Pro or talk to us about Enterprise.
How long does integration take?
Under 2 minutes. Install the SDK, add your API key, call remember(). That's it. Our onboarding wizard gets you from signup to first API call in under 2 minutes.
⚡ < 50msrecall latency (p99)
🔒 Isolatedtenant-isolated, encrypted at rest
🛠️ Agnosticworks with every framework
🦀 Rustfast, reliable, no GC pauses

Stop building memory infrastructure.
Start building agents.

Join the waitlist. Be first to give your agents a brain.

Get Early Access →

Free during beta · $5/mo at launch · Cancel anytime