Launched this week
N71
Give all your AI agents one shared context
183 followers
Give all your AI agents one shared context
183 followers
For knowledge workers orchestrating a dozen AI agents. 🧠 Your context never sits still: decisions shift, deals move, priorities change by the hour. Yet every new chat starts blank, and no agent knows what the others already worked out. N71 gives them one shared context that stays current, connect your tools and it maintains a living knowledge graph they read from over MCP, updated the moment anything changes. Ask any agent anything, and it's already caught up. 🔗
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How does the knowledge graph stay accurate when multiple agents are writing to it at the same time, and is there any conflict resolution if two tools update the same fact differently?
N71
@hacer358337 Good question, and it's the one that separates a real context layer from a shared notepad. N71 doesn't do naive last-write-wins. Every write carries its own provenance, so the graph always knows which agent or source wrote a fact, when, and off what evidence. When two tools assert something different about the same thing, both land as versioned claims with their own confidence rather than one silently clobbering the other. The more recent, better-evidenced one becomes the current view, but the prior state stays diffable in temporal memory. And when the disagreement actually matters, the graph surfaces it as a contradiction to reconcile instead of burying it. Writes also pass through a governance broker that authorizes and logs every call, so concurrent edits stay ordered and auditable.
How does the knowledge graph stay accurate when multiple agents are editing overlapping context at the same time, do you handle conflicts or does the latest write just win?
N71
@asiyeergvev7sj Not latest-write-wins, that's the shortcut we deliberately avoided. When agents edit overlapping context, each write is stamped with its source, timestamp, and a confidence score, and they get reconciled by evidence rather than by whoever happened to write last. A fact backed by three sources outweighs a one-off assertion. The current view reflects the strongest, most recent evidence, but nothing gets destroyed. The earlier versions stay in temporal memory so you can see exactly how something changed, and real conflicts surface as contradictions to review.
one thing I didn't see covered yet - what happens to everything the graph already learned from a tool once you disconnect it. does that history get purged from the graph, or does it stick around as context agents can still read even though the source is gone and can no longer be re-verified
N71
Hooked up my main work chat and a few agents, and the shared context finally clicked for me. It is wild seeing answers pull in what I sorted out three tabs ago without me copy pasting anything.
N71
@erdal224209 This is exactly the moment we hoped people would hit. That thing you sorted out three tabs ago is still in the graph, so any agent you point at it just knows, no copy paste, no re-explaining. Thanks for hooking up your setup and giving it a real run. Curious what else you end up throwing at it.
how does it decide what counts as a meaningful change worth updating the graph for vs just noise from tool activity
N71
Plugged it into my setup and asked three different agents about a project update — they all pulled the same current info without me retyping anything. The shared context piece feels like the actual unlock.
N71
@yusuf1wl3 Three agents, one current answer, zero retyping. That's the whole thesis in a sentence, thank you for putting it that way. The shared context layer is the unlock, and it compounds, the longer you use it the more every agent has to draw on. Really glad it clicked for you.
plugged it into my notion and slack setup and it actually kept track of shifting priorities without me babysitting it, which is more than i expected from a context layer.
N71
@enolacunkgli Notion plus Slack is a great pairing to test it on, since that's where priorities actually shift day to day. Keeping track without babysitting is the bar we set for ourselves, so it means a lot that it cleared it for you. Appreciate you plugging it in and reporting back.