Cortex by SKYNETLAB

The memory layer that decides what's worth remembering

SaaSArtificial IntelligenceProductivity

▲ 82 votes7 commentsLaunched Aug 24, 2026

Daily #15Weekly #16

Hosted semantic memory your AI connects to over MCP. Every write passes a quality gate (~80% rejected as redundant in production), facts become typed claims, contradictions are tracked instead of overwritten, and answers cite their sources. 2-minute setup with Claude, works with any MCP client. 30-day free trial, no card. Plans from €0.99/month. EU infrastructure, patent-pending engine. Built solo in Bergamo, Italy.

AI Analysis

📝 Summary

Cortex by SKYNETLAB is a hosted semantic memory layer for AI, connecting via MCP protocol. Core features include a strict quality gate rejecting ~80% redundant inputs, converting facts to typed claims, tracking contradictions rather than overwriting them, and citing sources in responses. It enables 2-minute setup with Claude, works with any MCP client, offers EU infrastructure, and a patent-pending engine. It solves key pain points like unreliable AI long-term memory, information redundancy, inconsistent knowledge, and lack of traceability. The value proposition is an intelligent, trustworthy memory system that decides what is worth remembering, delivering higher quality, consistent, and verifiable AI outputs. Plans start at €0.99/month after a 30-day free trial.

📈 Market Timing

In 2025-2026, the timing is highly favorable due to explosive growth in AI agents, LLM applications, and demand for persistent memory solutions beyond basic context windows. Semantic databases and contradiction-handling tech are maturing rapidly, user demand for trustworthy AI productivity tools is surging amid rising AI adoption, and EU AI policies emphasize transparency and data quality. This aligns perfectly with trends toward reliable, long-term AI memory layers. Excellent Timing.

✅ Feasibility

High. Technical implementation leverages mature vector/semantic databases and AI inference, proven by solo development in Italy. Low development and operation costs as a SaaS with EU cloud infrastructure. Patent-pending protects IP; compliance risks are minimized with EU hosting and no-card trial. Strong scalability potential for MCP clients, though solo team may face growth challenges. Overall highly feasible with validated product-market fit at low price point.

🎯 Target Market

Main segments: Tech-savvy AI power users, developers integrating LLMs (especially Claude), independent creators, productivity enthusiasts, and small AI-focused teams. Demographics: 25-45 years old, high technical proficiency. Industries: AI/software development, personal knowledge management, digital productivity. Geographic: Primarily Europe (EU infrastructure) with global reach. TAM: Part of $100B+ AI infrastructure/software market; SAM for AI memory layers ~$2-5B; SOM for individual/SMB users ~$500M. Core pains: AI session memory loss, redundant info overload, untraceable facts. High willingness to pay for reliable tools, with low entry price (€0.99/mo) boosting adoption.

⚔️ Competition

Medium. Direct competitors: 1. Mem0 (mem0.ai) - open-source AI memory layer; 2. Zep (getzep.com) - memory store for LLM apps; 3. SuperMemory (supermemory.ai) - AI-powered second brain; 4. LangMem (part of LangChain ecosystem). Advantages: Superior quality gate (80% rejection), explicit contradiction tracking, typed claims, strong source citation, easier Claude integration, lower pricing (€0.99/mo), patent-pending differentiation. Disadvantages: Newer/solo-built (potential scalability/trust concerns vs established players), narrower MCP focus may limit integrations compared to broader frameworks. Strong differentiation in intelligent memory curation.

Upgrade Pro to unlock full AI analysis