What's New

Until now ENGRAM only kept the memories you deliberately committed. Now it can also notice the salient things you didn't stop to flag — a decision you landed on, a fact you established, a preference you voiced — and gather them at the close of a task into a set of suggested memories. Nothing inferred is ever recalled on the quiet: every suggestion first passes an independent reviewer, and only the clearly worth-keeping ones are kept automatically — the rest wait for you. A new Suggestions inbox in the Memory Explorer collects everything awaiting your review — inferred proposals and your own committed recaps, each badged by where it came from — to Accept or Reject in one place. Inferred suggestions are off by default, and nothing inferred becomes recallable without the reviewer's approval or your accept.

ENGRAM has always remembered by quietly observing your work. Now you — or an assistant working alongside you — can deliberately decide this is worth remembering: a decision and its rationale, an established fact, a preference. One remember action commits it, and it becomes part of what ENGRAM recalls for you. At the close of a coding session or task, ENGRAM can gather the whole arc into a recap — proposed for your review, not saved behind your back. Accept it to make those memories recallable, or set it aside. Nothing durable is kept without your say-so.

Group everything that belongs to one body of work — conversations, coding sessions, captured research, and the articles and documents drawn from them — into a project. A Projects panel across Chat, Knowledge Base, and Coding Sessions lets you search, create, and switch projects; new chats file into your active project automatically, and you can move items between projects at any time. ENGRAM also now traces where each piece of knowledge came from, so every article and document shows its source.

A brand-new account is no longer an empty room. Ask “What is ENGRAM?” or “How does the Knowledge Hub work?” and get grounded answers right away, drawn from a set of public onboarding articles — no setup or content of your own required. Your own knowledge then builds on top as you research and save.

ENGRAM moved from a single-machine setup to a proper hosted service: reach it at its own address over your private Tailscale network from any of your machines, sign in with a magic link, and — for owners — manage accounts and runtime settings from an Administration area. Releases now ship through an automated build-and-deploy pipeline.

See your knowledge base the way a librarian would. The Knowledge Health panel surfaces gaps (topics you've discussed but never written down, islands that never connected), a Coverage & Depth view of how well each topic is covered, and a Vitals dashboard of recent activity — so you know what's missing and where to grow.

The core of ENGRAM: chat with long-term memory that recalls by relevance rather than recency; a Knowledge Base of articles and documents that become part of your personal graph; a Graph Explorer to navigate your topics; capture of research from other assistants (Claude Desktop, ChatGPT, Gemini) and of your Claude Code sessions; and bring-your-own-LLM so you choose the model behind it. Your conversations and the memories drawn from them stay private to you.