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. 🔗









Free Options
Launch Team / Built With



N71
@thys_beesman Yes! N71 is a shared context layer, so every agent reads from the same knowledge graph instead of keeping its own copy that drifts out of sync. Simultaneous reads are fully concurrent by design, and writes run through a single governance broker that checks each call and keeps them ordered, so agents don't clash even when they're working the same context at once.
The write-trust thread below is the most substantive launch Q&A I've seen in this category, and the answers actually move: versioned facts, evidence counts instead of overwrites, contradictions held open rather than silently picked. One seam still looks open, and it's the one that bit hardest in the multi-agent systems I've built: act-time staleness. An agent pulls context over MCP, reasons for a dozen steps, then writes back a conclusion or fires an action. The graph moved while it was thinking. A newer version landed, or a fact it relied on got superseded. Provenance records where the new write came from, but not which version of the world the writer saw when it derived it. So a stale-derived write lands looking like fresh evidence, and supersession by timestamp quietly rewards whoever wrote last, not whoever read last. Do writes carry the reader's version, something like a read token the broker can check at commit, so a write derived from a superseded snapshot gets caught instead of counted? Or is the assumption that re-reads are cheap enough that agents should pull again right before acting?
Plugged it into three of my daily agents and the shared context thing actually works. I was surprised how instantly they picked up on decisions I made earlier in a different tool without me re-explaining anything.
Shared context across agents sounds exactly like what the space needs. I tried it with a few MCP-connected tools and noticed new chats actually picked up where I left off instead of starting from zero, which is a relief after fighting that for months.
plugged it into a few of my agent setups and the shared context thing actually works, no more re-explaining the same project state every time i open a new chat
The "every agent call is scoped, cited, and authorized" line caught my eye. Is that scoping configurable per agent/tool (e.g. keeping HR or finance data out of a general-purpose coding agent), or is it uniform across whatever you connect?
Explaining the same background over and over to every new assistant gets old fast, so having them all caught up already really appeals to me. It feels like the missing piece that makes these tools genuinely usable day to day.