About ClariLayer
Built for work that should not disappear when the session ends.
ClariLayer helps an AI carry selected facts, preferences, decisions, rules and lessons into the next project or session. Analytics reconciliation is a specialist capability, not a claim about every piece of general work.
The problem we saw firsthand
AI work now crosses projects, tools and sessions, but the reasoning that shaped it is often left behind. A team decides to show the product demo before the implementation detail; a later session starts from scratch and quietly reverses the decision.
ClariLayer keeps selected durable facts, preferences, decisions, rules and lessons close to the work. The memory retains its source and where it applies, and it can be corrected or forgotten. It is useful because the boundary remains visible.
Analytics adds a separate specialist path. A saved warehouse or HubSpot definition can be compared with supported evidence, with a mismatch recorded as a caveat. That evidence path does not certify general memory or qualify the provider used to extract history.
Why this exists
The background that matters is the work.
The product starts from a practical observation: useful work needs continuity, and continuity needs limits. These three commitments shape the product more than a list of model names.
Work outlives the chat
A launch decision, writing preference or hard-won project lesson often matters long after the conversation where it emerged. ClariLayer makes selected durable work available in the next project or session, inside the authorized space you chose.
Selection is part of trust
Connection does not mean collection. Import starts from selected supported local history, a qualified extraction provider and an exact preview you accept. Later bounded capture is a separate configuration, with its own authorization and exclusions.
For teams: the Governed Context Edge
Teams can deliberately propose selected context into a shared, owned layer. The Governed Context Edge is a private pilot with no public price; personal context is not silently promoted into team canon.
What we are building
ClariLayer is a context layer for people who work with AI, delivered over MCP. Recall can bring selected durable work from an authorized space into the task at hand. It does not search every space, import arbitrary history or grant capture permission by default.
Remember saves a confirmed fact, preference, decision, rule or lesson. Recall brings applicable context into later work. Selected supported local history can be previewed before import; Claude CLI is the qualified extraction provider, while Cursor history import has limited support. Optional later capture is separately configured and bounded. For Analytics, reconcile checks one compatible saved definition per explicit call. Warehouse definitions accept actual_sample evidence from agent-run SQL, including optional preview rows. HubSpot definitions accept bounded crm_evidence property metadata and aggregate distributions, with CRM rows forbidden. HubSpot reconcile is generally available. In this personal MCP path, we never hold source credentials, execute SQL, or call HubSpot ourselves.
We are deliberate about what we claim. Today reconcile records a caveat on a mismatch or leaves an entry asserted — it does not stamp a definition “verified.” The stronger status remains gated off, with no public release timeline. The present-tense promise is reconciled, evidence-backed, caveat-aware context — checked against supported evidence, not blindly asserted.
The team path is deliberate. The Governed Context Edge can promote selected definitions you propose into shared, owned, governed team context — ownership, approval, the one right metric. That edge is built and in a hand-run private pilot today, onboarding a few design-partner teams.
Principles
Selected, not ambient
Recall is limited to the selected authorized space. Optional history import and later capture are explicit, bounded steps rather than a universal background collector.
Analytics evidence stays specialist
Each explicit reconcile grounds one compatible saved definition against agent-supplied evidence. Warehouse definitions use actual_sample, which may include optional preview rows; HubSpot definitions use bounded, recursively row-free crm_evidence. In the personal MCP path, we hold no source credentials, execute no SQL, and make no HubSpot call. A mismatch becomes a caveat; the entry otherwise stays asserted.
Available in the work
ClariLayer works through compatible remote Streamable HTTP MCP clients. Guided setup prefers OAuth where available and otherwise keeps keys in secure client-side configuration.
Correctable by design
Durable context can be corrected, scoped, forgotten or excluded as the work changes. Source and applicability remain attached so a remembered rule is not mistaken for a universal instruction.
Carry one useful decision into the next session.
Start free with no credit card, connect a compatible AI client, and keep one confirmed rule in the space you selected. Or bring the team: the Governed Context Edge is in private pilot — request early access.
Questions? Email us at support@clarilayer.com.