N71

Give all your AI agents one shared context

Developer ToolsArtificial IntelligenceProductivity

▲ 127 votes31 commentsLaunched Jul 1, 2026

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Daily #17Weekly #38

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. 🔗

AI Analysis

📝 Summary

N71 provides knowledge workers with a shared, living knowledge graph for orchestrating multiple AI agents. It solves the pain of fragmented context where new chats start blank and agents lack awareness of others' work. By connecting tools, it maintains real-time updates, allowing any agent to access current information via MCP. Core features include persistent shared context and instant graph updates. USP is enabling seamless, up-to-date AI agent collaboration, boosting productivity for dynamic workflows.

📈 Market Timing

In 2025-2026, AI agent adoption and multi-agent systems are surging with maturing LLM tech and rising demand for productivity tools amid economic pressures for efficiency. Users increasingly orchestrate many agents but struggle with context. N71 aligns perfectly with these trends. Rating: Excellent Timing.

✅ Feasibility

High technical feasibility using established graph databases, real-time sync, and AI integrations. Moderate dev/ops costs for SaaS model with scalability via cloud. Low supply chain risks; main challenges are accurate graph maintenance and compliance with data privacy. Strong scalability potential. Rating: High.

🎯 Target Market

Main segments: Knowledge workers and professionals managing multiple AI agents (e.g. PMs, consultants, developers) in tech, business, and productivity-focused industries. Global with emphasis on US/Europe. Core pains: non-persistent, siloed AI contexts. AI productivity software TAM is large and growing; high willingness to pay for time-saving tools (no specific TAM/SAM/SOM numbers available from sources).

⚔️ Competition

Medium. Direct competitors: 1. Mem0 (mem0.ai), 2. Zep (getzep.com), 3. LangGraph (langchain.com/langgraph), 4. CrewAI (crewai.com). N71 advantages: real-time living knowledge graph updated instantly from tools with MCP access for true shared context. Disadvantages: newer entrant with potentially fewer established integrations and community compared to mature alternatives in features and ecosystem.

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