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Cortex by SKYNETLAB

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Persistent external brain for AI agents and models

From $29/mo, billed monthly, free trial Visit Website
Tracked since 2026

The Bottom Line

Price
From $29/mo, billed monthly, free trial. Compare plans

Key facts

  • Provides persistent, shared semantic memory for AI agents across conversations and models
  • Uses quality gates, cognitive shift tracking, and brain audit metrics to maintain curated, trustworthy knowledge
  • Reduces token consumption compared to traditional RAG approaches

Pros

  • Model-agnostic: works with any AI model or agent, preventing vendor lock-in
  • Efficient: fewer tokens per answer than traditional RAG
  • Transparent: exposes contradictions and tracks the history of decisions

Cons

  • Memory limits per plan may be restrictive for heavy usage (e.g., 1,000 memories on Pro)
  • Relatively new product with limited community adoption and third-party integrations

What is Cortex by SKYNETLAB?

Cortex is a semantic memory infrastructure that provides a persistent, shared external brain for AI agents and models. Unlike context-window memory that vanishes after a conversation, Cortex stores decisions, context, and sources across sessions, allowing multiple models and agents to access the same curated knowledge base. It uses a quality gate to filter redundant information, tracks belief changes through cognitive shift logging, and provides metacognitive metrics to monitor knowledge health. Designed for professionals, researchers, and teams, Cortex integrates via API and reduces token usage compared to traditional RAG systems.

Key Features

  • Quality Gate: classifies and filters writes, rejecting duplicates before persistence
  • Cognitive Shift: logs belief changes when new data contradicts existing memories
  • Brain Audit: metacognitive metrics to assess knowledge improvement or degradation
  • Calibration: compares predictions with actual outcomes to measure trustworthiness
  • Living Encyclopedia: maintains an evolving synthesis of knowledge per topic

Pricing Plans

Free Trial

Pricing checked Oct 6, 2026. Source: skynetlab-cortex.com, read Oct 6, 2026

Cortex by SKYNETLAB plans and prices, checked October 2026
Plan Price Details
Pro

$29 / mo

  • Semantic memory for AI models and agents
  • Continuity across conversations
  • Connects to ChatGPT, Claude, and other AIs via MCP
+5 more
  • Rejects duplicates up to 99%
  • Filters overlapping information
  • Tracks contradictions
  • Measures accuracy
  • Distinguishes facts from hunches
Pro+

$49 / mo

  • All Pro features
  • Potentially more storage or advanced features (implied by higher price point)

Is Cortex by SKYNETLAB worth the price?

Good value

Cortex's pricing is fair for the specialized persistent memory it offers.

The $29 Pro tier provides strong value for users who need continuity across AI sessions, while the $49 Pro+ tier is reasonable for those requiring additional storage. Best for power users who frequently switch between multiple AI models.

Full Cortex by SKYNETLAB pricing: every plan, hidden costs and alternatives

How Cortex by SKYNETLAB's pricing compares

At $29/mo, billed monthly, Cortex by SKYNETLAB is the most affordable of its 4 comparable direct competitors.

Cortex by SKYNETLAB
$29
$126
$250

Not ranked, different unit or currency: Pinecone $20/mo flat, whole organisation, billed monthly.

Entry paid plan, monthly price, billed monthly. Pricing checked Oct 6, 2026.

Email me when Cortex by SKYNETLAB changes its price

One email per change, found on the vendor's own pricing page. Unsubscribe any time.

Cortex by SKYNETLAB by the numbers

Toolradar data: Cortex by SKYNETLAB's entry paid plan ($29/mo, billed monthly) ranks #20 of 33 (joint) for price among the Knowledge Base tools with a verified entry price and no stated unit, where the median is $19/mo. As of Oct 2026.

Cortex by SKYNETLAB compared with 119 Knowledge Base tools on Toolradar, as of Oct 2026
Metric Cortex by SKYNETLAB Peer median Position (1 is best)
Entry paid plan $29/mo, billed monthly $19/mo #20 of 33 (joint) tools with no stated price unit, verified price
Free plan No 60% have one n/a
Compare-page visits, last 30 days 22 visits 43 #22 of 27 (joint) tools with 20+ compare-page visits

Each position is counted among the tools that have data for that row, as noted under it. A lower entry price ranks higher; prices are read on vendor pages and compared only with tools priced on the same basis. All Knowledge Base data · How we compute this. Advertising and placement fees are not inputs to any position. Visit counts include visits from every source.

Cite this: Toolradar, “Cortex by SKYNETLAB by the numbers”, Oct 2026.

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Cortex by SKYNETLAB FAQ

How does Cortex help teams building AI agents avoid losing context between conversations?

Cortex stores decisions, context, and sources persistently across sessions, so multiple AI agents can access the same curated knowledge base even after a conversation ends. This eliminates the problem of context-window memory that vanishes after each interaction.

How does Cortex differ from Pinecone for storing AI agent memory?

Cortex is designed specifically as a persistent external brain for AI agents, offering a quality gate to filter redundant information and cognitive shift logging to track changes, whereas Pinecone is a general-purpose vector database. Cortex also reduces token usage compared to traditional RAG systems, which can lower costs for repeated queries.

What are the main trade-offs when using Cortex for large-scale deployments?

Cortex imposes memory limits per plan, such as 1,000 memories on the Pro plan, which may be restrictive for heavy usage. Additionally, as a relatively new product, it has limited community adoption and third-party integrations compared to more established solutions.

Which teams benefit most from integrating Cortex into their AI workflows?

Teams of researchers, AI engineers, and knowledge managers who need a persistent, shared memory for multiple AI models and agents benefit most from Cortex. It is especially useful for applications that require tracking decisions and knowledge changes over time.

How is Cortex priced for teams and individual developers?

Cortex is available on a free tier, with paid plans that offer more usage and additional features. The pricing is based on tiers that increase memory limits and capabilities.

How does Cortex's cognitive shift logging help maintain knowledge quality?

Cognitive shift logging tracks changes in beliefs and decisions made by AI agents, providing a transparent history of how knowledge evolves. This allows teams to monitor knowledge health and detect contradictions or outdated information.

Can Cortex integrate with any AI model or agent?

Yes, Cortex is model-agnostic and works with any AI model or agent via its API, preventing vendor lock-in. This allows teams to use the same persistent memory across different models and frameworks.

How does Cortex reduce token usage compared to traditional RAG systems?

Cortex's semantic memory infrastructure is designed to be efficient, requiring fewer tokens per answer than traditional RAG systems. This is achieved by storing curated, non-redundant information and using a quality gate to filter out irrelevant data.

How does Cortex by SKYNETLAB pricing compare with other Knowledge Base tools?

Cortex by SKYNETLAB's entry paid plan ($29/mo, billed monthly) ranks #20 of 33 (joint) for price among the Knowledge Base tools with a verified entry price and no stated unit, where the median is $19/mo. Prices are read on each vendor's own pricing page and compared only with tools priced on the same basis. Source: Toolradar, Oct 2026.

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