Your memory.Your infrastructure.Our intelligence.
Memory infrastructure for AI agents that keeps your data where it belongs — on your hardware. We handle embedding, deduplication, compression, and lifecycle management. You keep full control.
Other memory platforms want your data.
All of it.
Every major AI memory service stores your conversations, your preferences, your decisions, and your users' data on their servers. They call it "context infrastructure." It's really a data hostage situation.
Compliance Nightmare
You can't use them if you handle patient records. You can't use them if you handle legal privilege. You can't use them if your compliance team says no.
Vendor Lock-in
And if you ever want to leave, your memory corpus is trapped behind their API. Your data becomes their moat.
Engram works differently.
Your Qdrant, your FastEmbed, your hardware. We provide the intelligence layer — the embedding, the dedup, the compression, the lifecycle management — through an API that processes in transit and stores nothing.
You own the storage.
We provide the brain.
Your App
Your AI agents and applications
Engram API
Embed, deduplicate, classify, compress
(nothing stored)
Your Qdrant
Your vector database, your control
Three lines of code. Full local control.
from engram import Engram# Initialize with your Qdrantclient = Engram(api_key="eng_live_xxx",qdrant_url="http://localhost:6333")# Store - embedded & deduplicated by Engramclient.store("User prefers TypeScript and dark mode",category="preference")# Search - your Qdrant, our intelligenceresults = client.search("What does the user prefer?")# Store directly via RESTcurl -X POST \https://api.engrammemory.ai/v1/store \-H "Authorization: Bearer eng_live_xxx" \-H "Content-Type: application/json" \-d '{ "text": "User prefers TypeScript", "qdrant_url": "http://localhost:6333" }'Works with:
Four capabilities that
change everything
What Engram does for you
API Intelligence
You give us text, we turn it into something a computer can search by meaning instead of keywords, and we make sure your AI doesn't save the same thing twice.
Your data stays on your infrastructure.
Overflow Storage
When your machine runs out of room to store memories, we hold the older ones for you and hand them back when your AI needs them. Automatic tiering between your local hot storage and our cloud warm storage.
Opt-in only. Encrypted at rest. Your choice.
TurboQuant Compression
We shrink your AI's memory to one-sixth its size using compression that wasn't publicly available until last week. You store 6x more memories on the same hardware with zero recall loss.
Only available through Engram. Nobody else is running this in production.
Cross-Platform Bridge
When you use AI on your laptop and switch to your phone, both devices share the same memories. End-to-end encrypted sync between your self-hosted instances. No central data store required.
Join the waitlist →
You choose where your data lives.
For every feature. Every time.
This isn't a privacy policy. It's architecture.
Other platforms promise your data is safe on their servers. We built a system where your data never has to reach our servers in the first place. When it does, it's because you explicitly chose that feature.
6x more memory.
Same hardware. Zero loss.
Google published TurboQuant on March 18th. We had it running in production by March 25th.
While everyone else is reading the paper, Engram customers are already storing 6x more memories on the same hardware with no measurable loss in recall accuracy.
How it works
Your vectors come in at full precision.
We compress them using PolarQuant coordinate transformation and QJL dimensionality reduction.
The compressed vectors go back to your Qdrant.
The compression matrices stay with us — meaning every future store and search goes through Engram to stay compatible.
This isn't a one-time optimization.
It's an ongoing partnership between your storage and our math.
The full memory system.
Free. Local. Yours.
Engram's open-source library gives you a complete AI memory system that runs entirely on your hardware. No API keys. No cloud dependency. No strings.
What you get: Store, search, recall, and forget memories with semantic embeddings. Auto-recall injects relevant context before every agent response. Auto-capture extracts facts from conversations. Full OpenClaw plugin with lifecycle hooks.
When you outgrow it, we're here.
The open-source library is built for your first 10,000 memories. After that, duplicates accumulate, storage bloats, and recall quality fades. Engram Cloud adds deduplication, memory decay, TurboQuant compression, multi-agent isolation, and analytics — the intelligence layer that keeps your memory system sharp at any scale.
Vs the competition
The honest comparison
Self-hosted storage
Data never leaves your infra
TurboQuant compression
HIPAA-ready architecture
Open-source core
Deduplication
Memory lifecycle (decay)
Overflow storage
Cross-platform sync
OpenClaw plugin
The question isn't which platform has more features.
It's which platform lets you own your data while you use them.
Simple. Transparent.
Your storage isn't our revenue.
FREE
For trying it out and personal projects
- 500K tokens
- 5K queries
- 100K compression vectors
- Unlimited storage on your own Qdrant
- Community support
BUILDER
For developers building real products
- 5M tokens
- 50K queries
- 2M compression vectors
- Unlimited storage on your own Qdrant
- Priority support
- TurboQuant compression
SCALE
For teams shipping to production
- 50M tokens
- 500K queries
- 20M compression vectors
- Unlimited storage on your own Qdrant
- Dedicated support
- Analytics dashboard
ENTERPRISE
For organizations that can't compromise on data sovereignty
- Unlimited everything
- Dedicated cluster
- BAA (HIPAA)
- SLA
- SSO
- Audit logs
Add Overflow Storage to any plan
Overage: $0.008/1K tokens · $0.08/1K queries
We charge for intelligence, not storage.
Your Qdrant is free. Your data is yours. We make it smarter.
Built for people who can't afford
to lose control
Developers
who self-host their AI stack and want persistent memory without a cloud dependency.
Startups
building AI products where customer data privacy is a competitive advantage, not a checkbox.
Legal firms
where AI memory must be protected by attorney-client privilege and can never sit on a third-party server.
Healthcare organizations
bound by HIPAA who need AI assistants that remember patient context without violating compliance.
Government agencies
operating under FedRAMP and data classification requirements where cloud storage is a non-starter.
Anyone who's ever asked:
"Where exactly is my AI storing what it knows about me?"
Your AI deservesa memory it can keep.
Stop renting your context from platforms that own your data.
Start building on infrastructure you control.