Meet Engram
Personal AI that answers only to you
No API keys · No telemetry · Air-gap capable · Open source
See it in action
Local inference. Zero round-trips.
Drop a file. It becomes memory.
Ingest PDFs, Markdown, spreadsheets, and code directly into a local Qdrant instance. Zero cloud upload. Your documents are indexed on-device within seconds.
- PDF, Markdown, XLSX, CSV & more
- Encrypted at rest
- Automatic deduplication
Desktop Empty
Privacy by architecture
Zero leakage. By design.
Not a policy. Not a checkbox. Privacy built into every layer of the stack.
during inference
No API keys required. Llama 3.1 runs entirely on your hardware via Ollama. Your prompts never leave Docker.
encrypted at rest
Every memory payload is Fernet-encrypted before it touches Qdrant. The key lives only in your .env — never transmitted.
verifiable in code
No telemetry SDK, no analytics endpoint, no call-home mechanism. Every claim on this page is checkable in the repo.
Why Engram
Your Data is the Product.
Until Now.
Engram decouples intelligence from the cloud, giving you state-of-the-art AI without the privacy trade-off.
Data Sovereignty
No API keys for inference. No telemetry. No model training on your text. Third-party integrations use credentials stored only on your machine — never transmitted.
Data egress comparison
Cloud AI
Engram
Local Performance
Inference runs on local silicon via Docker — no network round-trips, no rate limits, no per-token costs. Vector retrieval from Qdrant typically under 200ms.
Avg. first-token latency
Measured on M2 MacBook Pro · llama3.1:8b · no GPU
Model Agnostic
Run Llama 3.1, Mistral, Gemma, or DeepSeek by changing one environment variable. Swap models without rewriting a line of application code.
Active inference model
Switch from the dashboard or set OLLAMA_MODEL in .env
The Privacy Argument
AI Without the Exit Door.
Every cloud AI tool creates a data egress path. Engram doesn't.
Your prompt
leaves your machine
HTTPS → API server
OpenAI, Anthropic, etc.
Remote model host
multi-tenant, shared
Training data pool?
depends on your tier
Other customers
same infrastructure
Your prompt
stays on your machine
Local Ollama
llama3.1, mistral, gemma
Local Qdrant
your vector store only
Your machine only
no egress, no exceptions
Zero external calls
air-gap capable
Engram has no telemetry endpoint, no analytics SDK, and no call home mechanism. Verify in source.
Engineered for Zero Trust.
No cloud vectors. No API keys for inference. Python and Docker on your local hardware — every component is inspectable, replaceable, and air-gap capable.
A second brain that runs locally.
Chat with your memories, ingest documents, run agents — everything a cloud AI does, but your data never leaves your machine.
Chat with Your Memory
Ask Engram anything — it searches your saved notes, books, conversations, and documents to give you context-aware answers. Your knowledge base, queryable in plain English.
Answers only from what you've stored. No hallucination from the web.
Context-Aware RAGDocument Intelligence
Drop in PDFs, Markdown, code files, or plain text. Engram reads, embeds, and stores them as searchable vector memories — then lets you ask questions across all of them at once.
No upload. No third-party processing. Files stay on your disk.
Local IngestWeb Knowledge Base
Point Engram at any URL and it crawls the content into your local knowledge store. Research, documentation, or articles — everything you read becomes part of your searchable brain.
Autonomous Agents
Calendar and email agents run on a schedule, drawing from your memories to draft replies, schedule events, and surface daily briefings — all without leaving your machine.
Choose Your Model
Switch between Llama, Mistral, Gemma, and DeepSeek from the dashboard — no config files, no restarts. Every model runs locally through Ollama. No API keys, no rate limits.