# ClariLayer ClariLayer é uma camada de contexto pessoal para agentes de IA de programação e análise, que os ajuda a reter definições de dados, notas e junções entre sessões. Também compara o contexto salvo com evidências do data warehouse ou do HubSpot, destacando divergências como ressalvas. - Findings24: - Site: - Preços: Freemium - Categorias: Base de Conhecimento IA, Assistente SQL IA, Ferramentas Dev IA ## O que é ClariLayer? ClariLayer is a personal context layer for AI coding and analysis agents delivered over MCP. It is designed to help an agent remember and reuse data definitions, joins, schema notes, and other project context across sessions instead of making you restate them every time. Its core workflow is not just storage but verification: you bootstrap context from existing sources, recall it while working, remember new corrections, and reconcile saved definitions against warehouse or HubSpot evidence so mismatches appear as caveats rather than confident errors. ## O que ClariLayer pode fazer? ### Bootstrap from existing sources Import context from supported source material so the agent starts with your existing data definitions instead of an empty memory. The docs list SQL, dbt models, CLAUDE.md notes, dictionaries or codebooks, and semantic models. ### Recall context during a session Pull the most relevant saved context into the active task flow when the agent needs it. The docs describe this as recall-first, with context returned in-flow rather than forcing manual re-entry. ### Remember corrections and notes Persist definitions, schema notes, joins, and gotchas so the same corrections can carry across sessions. This is the mechanism that prevents repeated re-explanation. ### Reconcile against evidence Check a saved definition against warehouse actual\_sample evidence or, for supported HubSpot contracts, row-free CRM evidence. When declared and observed evidence disagree, the entry surfaces a caveat. ### Persist a completion receipt Record the agent’s completion context before the task closes. The docs describe a completion loop that persists a bounded declaration or an explicit nothing-to-update receipt. ### Work inside supported AI clients Connect through MCP to Claude Code, Cursor, Codex, or claude.ai, with claude.ai also supported over OAuth. The quickstart and pricing pages both frame ClariLayer as a connected context layer rather than a standalone editor. ## Casos de uso ### Persistent context for recurring analysis Use ClariLayer when you keep repeating the same warehouse table names, join paths, or metric definitions to your agent in every new chat. The saved context can be recalled in-flow so the agent starts from your established working definitions. ### Check definitions against source evidence Use reconcile when you want a saved SQL definition or HubSpot contract checked against evidence instead of trusted as plain text. The product is designed to surface a caveat when the declared definition and observed result disagree. ### Import an existing analytics knowledge base Use bootstrap when you are bringing an existing analyst workspace into a context layer for the first time. Supported source material includes SQL, dbt, CLAUDE.md notes, dictionaries or codebooks, and semantic models. ### Carry corrections across sessions Use ClariLayer when you want the agent to carry forward corrections, gotchas, and schema notes from one session to the next. Remembered entries are meant to reduce repeated setup work across chats. ### Start solo before team adoption Use the free personal path if you are an individual analyst or developer who wants a context layer without seats, usage meters, or procurement. The pricing page positions the personal layer as the default starting point before any team governance. ## Perguntas frequentes ### How do you connect ClariLayer to an AI agent? ClariLayer connects as an MCP context layer for Claude Code, Cursor, Codex, or claude.ai. The docs describe a quickstart that connects an MCP client with a context key or connects claude.ai over OAuth, then confirms the connection so the agent can recall saved context. ### What does ClariLayer do after setup? The public docs describe four main verbs: bootstrap, recall, remember, and reconcile. Bootstrap imports supported source material, recall pulls relevant saved context during a task, remember saves definitions and notes for later, and reconcile checks a saved definition against warehouse or HubSpot evidence. ### Is ClariLayer free to use? ClariLayer supports personal use for one analyst at no cost. The pricing page says the personal context layer is free and unmetered, while the Governed Context Edge for teams is in private pilot and requires early access. ### Does ClariLayer access my warehouse or CRM directly? For the personal MCP path, ClariLayer never receives warehouse or CRM credentials and does not run SQL or call HubSpot itself. The agent uses its own authorized access and sends supported evidence for reconciliation. ### What data sources and reconciliation paths are supported? The docs say the personal context layer can bootstrap from SQL, dbt models, CLAUDE.md notes, a data dictionary or codebook, and semantic models. Reconcile supports warehouse actual\_sample evidence and, for HubSpot, bounded row-free crm\_evidence; Salesforce is recall-only in the public contract. ## Informações rápidas - **Category**: Developer Tool - **Primary use**: AI context layer for data agents - **Connection method**: MCP; claude.ai also over OAuth - **Supported AI clients**: Claude Code, Cursor, Codex, claude.ai - **Source domain**: clarilayer.com - **Pricing**: Personal use is free and unmetered; team product is in private pilot