What's New

A new Agent Manager role lets people you designate create and manage their own connected agents — the bots and assistants that connect to ENGRAM as their own accounts — without granting full administrator access. An Agent Manager provisions agents, issues and rotates their access tokens, enables or disables them, and sees an activity history for just the agents they own. Everything stays scoped to what they own, up to a limit an administrator sets per manager. Grant the role from Administration → Users.

Long research PDFs and other documents are now captured completely and in reading order — every section makes it into your knowledge base, in the order the author wrote it. That means more complete search results and better-grounded articles when you build on an attached source. Documents you'd added earlier were rebuilt to the same standard, so your existing library benefits too.

When an assistant drafts an article to fill a knowledge gap, ENGRAM now checks its claims about how ENGRAM itself works against the real system before the draft reaches your inbox. Drafts that get it wrong are flagged for a closer look — or set aside — and when you review a proposal you can see the exact concerns highlighted in the draft text, so you approve accurate knowledge rather than plausible-sounding mistakes. Auto-drafted articles also carry a clear “AI-drafted” marker in your Library until you've reviewed them.

When you share a memory with an assistant you collaborate with, you can now scope that share to a project — so the assistant draws on those memories only while it's working in that project, and a single assistant helping you on several projects keeps each one's memory separate. Pick a project or conversation in Your Memories and the share dialog offers it as the scope; or use Share all to hand over a whole project or conversation at once. New scope badges mark memories that are private to a conversation or task, so you can see what you're widening before you share. (Sharing with people is unchanged — they recall everywhere they work.) And a new Help button in the Memory Explorer explains how memory, suggestions, and sharing fit together, right where you need it.

The Memory Explorer is reorganized into three tabs — Your Memories, Suggestions, and Sharing — so each has room to breathe. In Your Memories you can now filter long-term memories by where they came from (a project, a conversation, a source) and see your total at a glance; click any memory to read its full content in a side panel. Suggestions lets you review a batch memory-by-memory — keep the ones worth keeping, skip the rest — and tells you when one was handed off by someone else. And a dedicated Sharing view shows what you've shared and what's been shared with you, by name, with a preview of each memory and a click to read it in full.

The assistants you already work in — Claude Code, Claude Desktop, and other connected tools — can now recall your ENGRAM memories on demand, not just inside ENGRAM chat. Ask one to look up what you decided, and it brings back what's relevant — your own memories, or any shared with you — each tagged with why it surfaced. You can share a memory with a collaborator and hand off a piece of work for them to review, and an assistant can discover who you're able to share with so it picks the right recipient. It all stays private by default and fail-closed: nothing surfaces that isn't yours or explicitly granted to you, sharing is enabled by your operator, agent recipients are opt-in, and any grant is revocable.

For owners running ENGRAM, a new operations dashboard makes the memory features observable at a glance — how often memories are reinforced through use, what's being shared, and which inferred suggestions are kept versus set aside. It pairs with a refinement to reinforcement itself: the memories ENGRAM actually draws on to answer you now count toward growing stronger, so “sharper with use” reflects the answers they helped produce. As always, these memory behaviors stay off by default — the dashboard helps owners decide when to turn them on and confirm they're working as intended.

The memories you actually rely on now grow stronger the more they're used. Each time ENGRAM recalls a memory to help answer you, that memory's pull on future retrieval ticks up a little — so the notes that keep proving useful surface more readily over time, the way spaced repetition strengthens what you revisit. It's entirely automatic: there's no action to take and nothing new to manage, and it only ever strengthens your own memories. Like inferred suggestions, this is off by default — your operator decides whether to enable it.

ENGRAM memory has always been private to you. Now you can deliberately share a memory — a single fact, or everything tied to one task or project — with another ENGRAM user, so it surfaces in their retrieval too. Sharing is explicit, bounded, and revocable: you choose what and with whom, you can set a grant to expire, and you can pull it back at any time; the recipient can recall what you shared but never edit or re-share it. A new Sharing section in the Memory Explorer shows everything you've shared and everything shared with you. The same rails power hand-offs between assistants working on your behalf. Private-by-default doesn't change — nothing is shared until you create a grant.

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.