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.
21x
faster store than Supermemory
100%
recall@10 — always there
6.39x
TurboQuant compression
47ms
hot-tier min latency
80%
cache hit rate (3 rounds)
$0
tokens burned per store
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.
Engram processes your data in transit — embedding, deduplication, classification, compression — then sends it straight to your Qdrant. We never store a byte.
Your App
AI agents, Claude Code, Cursor, OpenClaw
Engram API
Embed, deduplicate, classify, compress
stateless — nothing storedYour Qdrant
Your hardware, your vectors, your control
Simple setup. Full local control.
from engrammemory import Engram# Initialize with your Qdrantclient = Engram(api_key="eng_live_xxx",qdrant_url="http://localhost:6333")# Store — embedded & deduplicatedclient.store("User prefers TypeScript",category="preference")# Search — three-tier recallresults = client.search("What does the user prefer?")import { Engram } from 'engrammemory-ai'// Initialize with your Qdrantconst client = new Engram({apiKey: 'eng_live_xxx',qdrantUrl: 'http://localhost:6333'})// Store — embedded & deduplicatedawait client.store('User prefers TypeScript',{ category: 'preference' })// Search — three-tier recallconst results = await client.search('What does the user prefer?')curl -X POST https://api.engrammemory.ai/v1/intelligence \
-H "Authorization: Bearer eng_live_xxx" \
-H "Content-Type: application/json" \
-d '{"text": "User prefers TypeScript"}'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.
Coming soon
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.
Scale without rebuilding.
The open-source core gives you a complete memory system. Engram Cloud adds the operational intelligence — deduplication, compression, decay management, analytics — that keeps performance sharp as you scale from thousands to millions of memories. Same API, same data, more capabilities.
Vs the competition
The honest comparison
Store speed (300 memories)
Recall@5 accuracy
Recall@10 accuracy
Hot-tier cache
LLM token cost per store
Memories dropped by LLM
Self-hosted storage
Data never leaves your infra
TurboQuant compression
Offline capable
Deduplication
Open-source core
Benchmarked. Not Theoretical.
We benchmarked Engram head-to-head against Supermemory and Mem0 using 300 real memories, 25 ground-truth queries, and three recall rounds. Engram matched or beat both competitors on recall quality while storing 21x faster and running entirely on local hardware.
Mem0's extraction LLM retained 3 of 25 test memories. Their system decides what's worth remembering. Engram stores what you tell it.
Read the full methodology and resultsSimple. Transparent.
Your storage isn't our revenue.
FREE
Evaluate the product. Feel the value.
- 100K intelligence tokens
- 1K search queries
- 10K compression vectors
- 1 collection
- Deduplication
- Overflow storage
- 24hr log retention
BUILDER
Starting at
Solo developer shipping a real product.
- 2M intelligence tokens
- 20K search queries
- 500K compression vectors
- 3 collections
- Dedup + Decay lifecycle
- 5 webhooks · 2 bridges
- 7-day log retention
SCALE
Starting at
Teams, startups, production workloads.
- 25M intelligence tokens
- 250K search queries
- 10M compression vectors
- 25 collections
- 10GB overflow included
- Memory Map · Skill Intelligence
- 25 webhooks · 10 bridges
- 30-day log retention
ENTERPRISE
Compliance-bound organizations. $2,000+/mo.
- Unlimited everything
- Unlimited collections
- Audit log (hash-chained)
- BAA (HIPAA)
- SSO · SLA
- 1-year+ log retention
Overflow Storage Add-Ons (Builder+)
Usage scales with your success. Rates decrease as volume increases.
Free tier hard-stops at limit. No surprise bills. Paid tiers scale smoothly.
View detailed usage rates →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.