Cortex by SKYNETLAB

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.

Cortex by SKYNETLAB is a strong fit if you are one of: • indie hackers and solo founders • early-stage startup teams If that does not sound like you, skim the features and site before committing time.

Cortex by SKYNETLAB is built around this outcome: For AI builders: Cortex by SKYNETLAB stores semantic memory over MCP so your AI remembers facts accurately and cites sources instead of hallucinating. Use the site demo or docs to confirm it matches the bottleneck you are trying to remove.

Cortex by SKYNETLAB includes: • Remove duplicate information from stored memories • Track contradictions between different stored facts • Search and recall memories with source citations • Measure prediction accuracy against actual outcomes • Distinguish verifiable facts from assumptions

Cortex by SKYNETLAB offers a free plan plus paid tiers. See the website for current pricing. Check the official site before you buy so you see current plans, trials, and limits. Most freemium tools let you validate the workflow before upgrading — check what the free tier unlocks for your use case.

Cortex by SKYNETLAB offers a free plan plus paid tiers. See the website for current pricing. Check the official site before you buy so you see current plans, trials, and limits.

Cortex by SKYNETLAB uses AI as part of its workflow. Before relying on it for customer-facing or confidential work, confirm what data is sent to models, whether outputs are editable, and how you can review results.

It promises: For AI builders: Cortex by SKYNETLAB stores semantic memory over MCP so your AI remembers facts accurately and cites sources instead of hallucinating. A concrete use case founders care about: Researchers maintaining continuous context across multiple AI conversations. It has 85 community upvotes on Launch Llama, which is a signal of interest — not a guarantee it fits you. Worth trying if that problem is painful for you this week; skip it if you only need a one-off workaround you already have.

Open the official Cortex by SKYNETLAB website from this page, run the smallest real task you care about (not a toy demo), and decide in one session whether it removes friction. Check pricing and data/privacy terms before you put production work into it.