TinyFish + ENGRAM-ENGN
TinyFish Accelerator Participant
AI Memory Infrastructure • API • Chrome Extension

Your AI forgets everything.
Fix that.

ENGRAM-ENGN gives your AI conversations persistent, cross-provider memory.

Sub-50ms semantic recall 7-layer architecture 400+ production sessions tested and proven

Over 1,400 workflow-specific memory captures — solutions, bug fixes, implementation strategies, best practices — built from real production work. You don’t need to remember anymore. The Memory-Sentinel does.

What you tell Claude on Tuesday is available for ChatGPT on Friday. What you build in Gemini is context in your next session — with Grok, with Copilot, with whatever comes next.

Every conversation starts from zero
Claude"I don't have context from previous conversations"
ChatGPT"I can only see this current chat"
Gemini"I don't have access to your other sessions"
Any Model
With The
ENGRAM-ENGN:"Here's what you've built, decided, and learned"

You use multiple AI providers. None of them talk to each other.

You've explained your project to Claude. Your preferences to ChatGPT. Your architecture to Gemini. Each conversation is an island. Every new session means re-explaining who you are, what you're building, and what you've decided.

Native memory features are siloed — locked to one provider, one interface, with no portability and no depth. ENGRAM-ENGN is your knowledge layer, independent of any single provider, persisting everything that matters across every AI you use.

This is not a photo album of your conversations.
ENGRAM-ENGN doesn't record every word you say. The Memory-Sentinel distills your sessions into high-value, production-grade workflow intelligence — the things your AI needs to remember to get you better results.
Proven Solutions

Error-Loop Circuit Breaker

Hit a bug at 2am? The Sentinel already has the fix from four months ago in a different conversation on a different provider. Problems you've solved stay solved. Potential problems become non-existent problems.

Project Topology

What Connects To What

Your Sentinel maps your project's topology — services, databases, APIs, dependencies, and how they talk to each other. Not just what you built, but the architecture of how it all fits together.

Workflow Intelligence

How You Actually Build

Implementation strategies. Best practices earned the hard way. Architecture decisions and the reasoning behind them. The Sentinel captures the patterns that make you fast — not the small talk around them.

Seven layers. One knowledge system.
Not a simple key-value store. ENGRAM-ENGN is a full-stack memory architecture — containerized runtime, four databases, vector indexing, hypergraph reasoning, and an AI engine that ties it all together.
Layers 01-02

Container + Database Core

Containerized runtime with four specialized databases underneath — governance, memory metadata, snapshot state, and operational data. Every layer is isolated, backed up, and production-hardened.

Layers 03-05

Vectra + Graph + Hypergraph

Vector embeddings for semantic recall. Knowledge graph for entity relationships. Hypergraph for higher-order connections across contexts, sessions, and decisions. Search by meaning, not keywords — sub-50ms across thousands of entries.

Layers 06-07

Lifecycle Engine + Memory-Sentinel

Knowledge evolves — facts get superseded, approaches change. The lifecycle engine tracks full history like git for knowledge. The Memory-Sentinel manages ingestion, consolidation, contradiction detection, and lint operations autonomously — always watching, always learning.

Your cloud. Your data. Your rules.
ENGRAM-ENGN is infrastructure, not a hosted service. Every instance runs in its own isolated container — deploy it on any cloud you already pay for. We call it BYOR: Bring Your Own Resources.
API First

RESTful Endpoints

Full API access to every memory operation — ingest, recall, search, graph queries, lifecycle management. Build your own integrations, plug ENGRAM-ENGN into your existing stack, or white-label the memory layer in your own product.

Isolated Containers

One Pod, One Tenant

Each ENGRAM-ENGN instance runs in a lightweight k3s pod — ~512MB footprint with full 7-layer stack. Your data never touches anyone else's infrastructure. Spin up in seconds on any Kubernetes-compatible cloud.

BYOR Cloud

Deploy Where You Want

Cloudflare, AWS, Oracle, Azure, Hetzner, your own rack — wherever your credits live, ENGRAM-ENGN runs there. One Helm chart, any cloud. Zero vendor lock-in. Compliance solved by default because the data never leaves your account.

Cloudflare / AWS / Oracle / Azure / GCP / Alibaba / Hetzner / Self-hosted
Built for how power users actually work
Not a toy. Not a demo. A 7-layer agentic production memory system with a built-in Memory-Sentinel — tested across 400+ real working sessions, 1,700+ captures, and growing every day.

“That’s 1,700+ situations my AI will NEVER forget.”

Live Web Intelligence Powered by TinyFish

Your Agentic Sentinel doesn't just recall — it investigates. When it hits a knowledge gap, it dispatches a web agent to navigate the source, extract structured answers in real time, and write them back into memory. Knowledge gaps close themselves. The Sentinel investigates what it doesn't know — and remembers what it finds.

Cross-Provider Recall

Memory persists across Claude, ChatGPT, Gemini, and any provider you use. Your knowledge follows you, not your subscription.

Semantic Search

Find what you need by meaning, not exact match. Sub-50ms recall across thousands of entries with configurable similarity thresholds.

Error-Loop Circuit Breaker

Stop backtracking through the same bugs. The Sentinel remembers what you've had problems with and turns potential problems into opportunities — serving the solution before you even hit the wall.

Project Topology Mapping

Your Sentinel knows what each service connects to, how they communicate, and what depends on what. It develops and maintains a living map of your entire system architecture.

Local-First Privacy

Your knowledge lives on your machine. No cloud requirement. No data leaves your browser unless you choose cloud sync for multi-device access.

Knowledge Lifecycle + Lint

Entries evolve — active, superseded, contradicted, merged. Automated lint scans detect conflicts and staleness. The Sentinel identifies — you decide. Human in the loop, always.

Start free. Scale when you're ready.
Free
$0
forever
For individuals exploring AI memory
  • 500 knowledge entries
  • Vector memory layer
  • Basic semantic search
  • Claude + ChatGPT adapters
  • Local-first storage
  • Single-device
  • Monthly knowledge digest
  • Community forum access
Join Launch Whitelist
Team
Custom
Shared knowledge across members
  • Everything in Pro
  • Multi-user + roles
  • Shared knowledge graphs
  • Role-based recall scoping
  • Team topology + cross-recall
  • Team analytics dashboard
  • Onboarding acceleration
  • Governance-Audit Panel
Contact Us
Dev / API
Custom
Build on ENGRAM-ENGN — embed memory in your apps
  • Full API + SDKs
  • White-label memory layer
  • Webhook event streams
  • Custom embedding models
  • Sandbox environment
  • Rate-limit tiers + dashboard
  • Revenue share + affiliate
  • Governance-Audit Panel
Partner With Us
Enterprise
Custom
Self-hosted, compliant, at scale
  • Everything in Team
  • On-prem / BYOR deploy
  • Air-gapped deployment option
  • Custom retention policies
  • SLA + SSO + compliance
  • Dedicated support channel
  • Audit log export + SIEM
  • Governance-Audit Panel
Contact Sales

*$10 deposit is refundable upon completion and submission of alpha testing review documentation and participation requirements.

1,000 Power Users. 120 Days.
The Alpha Cohort.

ENGRAM-ENGN was forged in 400+ real production sessions generating 1,700+ memory captures. We don’t need validation — we need stress-testing at scale, from builders who will push this system harder than we ever could alone.

We believe 120 days is responsible. The community decides if it's ready sooner.

Every 30 days, alpha testers vote: go live or keep building. Your voice drives the timeline.

Why We Ask For a Financial Commitment

Your deposit isn’t a paywall. It’s a handshake.

We’re building ENGRAM-ENGN for power users who depend on their tools — people who will give honest feedback, document edge cases, and hold us to the standard they expect. The $35 commitment tells us you’re serious about being part of this.

In return, we commit to acting in genuine partnership with every tester. Your feedback shapes the product. Your reports drive the roadmap. Your vote determines when we go live. This isn’t a one-sided beta where you file tickets into a void — it’s a co-build with the founding 1,000.

Your Commitment

Use ENGRAM-ENGN in your real workflow for up to 120 days

Log edge cases, friction points, and feature gaps as you find them

Submit your alpha review documentation at the end of your testing period

Vote every 30 days: go live or keep building

Our Commitment

Ship every bug fix, feature request, and improvement transparently

Respond to every tester report — no ticket goes unread

Honor the community vote on launch timing, every cycle

Deliver a product worthy of your trust and your time

Option A — The Refund

Get your $10 back.

Complete your alpha review docs, submit your participation report, and we refund the full $10 deposit. You still keep 90 days of Pro at $25. No strings.

Option B — The Founding Perk

50% off Pro for life.

Convert your $10 into a permanent discount, founding alpha badge, community perks, parallel project whitelisting, and early access to every future feature. More value adds coming.

Which AI providers do you use?
Claude
Grok
ChatGPT
Gemini
Copilot
Other / Multiple
How many AI sessions do you run per week?
1 – 5
5 – 15
15+
I lost count
What's your biggest pain with AI memory right now?
Re-explaining context every session
Losing solutions I've already found
No memory across providers
All of the above

You're exactly who we built this for.

Multi-provider. High frequency. Tired of starting from zero. The Memory-Sentinel was forged in the same workflow you just described.

First 1,000 alpha testers only — this round.

TinyFish + ENGRAM-ENGN
TinyFish Accelerator Participant