ENGRAM-ENGN gives your AI conversations persistent, cross-provider memory.
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.
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.
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.
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.
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.
Containerized runtime with four specialized databases underneath — governance, memory metadata, snapshot state, and operational data. Every layer is isolated, backed up, and production-hardened.
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.
Knowledge evolves — facts get superseded, approaches change.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.
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.
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.
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.
“That’s 1,700+ situations my AI will NEVER forget.”
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.
Memory persists across Claude, ChatGPT, Gemini, and any provider you use. Your knowledge follows you, not your subscription.
Find what you need by meaning, not exact match. Sub-50ms recall across thousands of entries with configurable similarity thresholds.
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.
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.
Your knowledge lives on your machine. No cloud requirement. No data leaves your browser unless you choose cloud sync for multi-device access.
Entries evolve — active, superseded, contradicted, merged. Automated lint scans detect conflicts and staleness. The Sentinel identifies — you decide. Human in the loop, always.
Pro only — no alpha access
90 Days for $25*$10 deposit is refundable upon completion and submission of alpha testing review documentation and participation requirements.
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.
●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
●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
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.
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.
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.