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.
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- –Real-time updates prevent the common issue of agents hallucinating or working with outdated information.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.
DISCOVERED
47d ago
2026-07-01
PUBLISHED
47d ago
2026-07-01
RELEVANCE
AUTHOR
[REDACTED]
