ClariLayer
ClariLayer is a memory layer for AI work, turning selected past conversations into memory that AI assistants can reuse across projects and sessions. Users connect AI clients such as Claude Code, Cursor, Codex and claude.ai through a guided
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What to know before choosing
Official-site material has been collected and reviewed in the product profile below. Pricing and platform details remain unverified unless a specific sourced statement is shown.
Evidence
ClariLayer — Memory for Your AI Work ↗, Pricing — Personal Context for Your AI | ClariLayer ↗
Official-site collection and source-backed editorial review. Last source review is not a date of product testing.
Product details from official sources
ClariLayer is a memory layer for AI work, turning selected past conversations into memory that AI assistants can reuse across projects and sessions. Users connect AI clients such as Claude Code, Cursor, Codex and claude.ai through a guided setup, then save decisions, preferences, rules and lessons as memory nodes with visible sources, correcting or forgetting them as work changes. A specialist Analytics path reconciles saved definitions against warehouse or HubSpot data and surfaces mismatches as caveats. The personal context offer starts free with no credit card; the team product, Governed Context Edge, is in private pilot with pricing set directly with the first teams rather than published.
Capabilities and conditions
- Memory for AI work: turns selected past conversations into memory usable across projects and sessions. Source ↗
- Works with Claude Code, Cursor, Codex, claude.ai and more; setup starts free with no credit card. Source ↗
- The personal context offer starts free with no credit card. Source ↗
- The team product, Governed Context Edge, is in private pilot with pricing set with the first teams, not on a page. Source ↗
Price and free allowance
See the sourced plan statements above; confirm currency, billing period and checkout eligibility on the vendor site.
Published-source profile · collected 2026-10-17. Automated collection followed by editorial review. These are vendor-published claims, not hands-on product test results.
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