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N71 connects AI agents via shared context

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N71 connects AI agents via shared context
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// 47d agoPRODUCT LAUNCH

N71 connects AI agents via shared context

N71 is a shared context layer that connects tools and maintains a living knowledge graph for knowledge workers managing multiple AI agents. By leveraging the Model Context Protocol (MCP), different AI agents can read this unified context in real time to stay updated on decisions, deals, and priorities.

// ANALYSIS

N71 solves the massive headache of context fragmentation when using multiple AI tools by acting as a central, intelligent memory bank.

  • By leveraging the Model Context Protocol (MCP), it future-proofs its integration with leading agents like Claude and Cursor.
  • Real-time updates prevent the common issue of agents hallucinating or working with outdated information.
  • This is a necessary evolution from isolated chatbots to a cohesive, agentic workspace.
  • The focus on a "living knowledge graph" suggests a more structured and reliable way to store context than simple vector search.
// TAGS
productivitydevtoolartificial-intelligencemcpknowledge-graphtool-use

DISCOVERED

47d ago

2026-07-01

PUBLISHED

47d ago

2026-07-01

RELEVANCE

8/ 10

AUTHOR

[REDACTED]