ClariLayer

io.github.clarilayer由 GitHub 账号 clarilayer 发布v0.31.0更新于 Nov 2, 2026

Individual-analyst context layer: recall, remember, and reconcile your data and engineering context.

已验证Streamable HTTP可网页运行知识与记忆开发者工具数据与分析

概览

AI 生成的概览

托管式上下文层,让 AI 跨项目、跨会话回忆、记住、纠正和遗忘持久的工作上下文。

可以做什么
  • 在已授权的空间内回忆相关上下文,保留来源与适用范围,并按需获取完整条目
  • 保存已确认的事实、偏好、决策、规则与经验,或将不确定的变更暂存为待审提案
  • 在回忆后按条目 ID 遗忘或排除指定内容,并记录有边界的完成声明与上下文使用反馈
  • 分析场景:回忆定义、模式说明与已保存查询,导入提供的 SQL、dbt 模型与数据字典,并用代理提供的证据核对已保存定义
  • 在本地检查 dbt 文档中的幽灵列、缺失模型与类型不匹配,可选地把发现暂存为提案
适用场景
适合希望助手把已确定的决策、规则和偏好从一个会话或项目带到下一个会话或项目的场景,也适合需要保持分析定义与模式说明一致的团队。也适用于希望写入先经审核、而非静默写入记忆的团队。
运行要求
通过 streamable HTTP 访问的远程 MCP 端点,使用 OAuth 认证;也可将上下文密钥保存在本地作为备选,并通过 Authorization 请求头发送。需要 ClariLayer 账号和已授权空间;可选的 npm CLI 需要 Node.js。本地 dbt 检查无需账号或数仓连接。
安装前请注意
上下文密钥属于机密,不要粘贴到 AI 对话或公开 issue 中。只有客户端实际调用工具时才会回忆,投递回执或检查点并不能证明上下文被正确使用。历史导入与持续采集需要单独设置和授权,所选内容会交由抽取服务商处理,可能产生费用。语义搜索需单独同意。遗忘操作会删除条目,应按返回的条目 ID 精确指定。

安装

在 SourceWeft 中

  1. 打开 控制台中的 ClariLayer,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.clarilayer%2Fclarilayer/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "clarilayer": {
      "type": "http",
      "url": "https://clarilayer.com/api/mcp/mcp"
    }
  }
}

README

[MseeP.ai Security Assessment Badge]

[ClariLayer]

ClariLayer

Your AI should remember how you work.
Turn selected past conversations into memory your AI can use across projects and sessions.

Website · Docs · Connect your AI · Quickstart

ClariLayer keeps the facts, preferences, decisions, rules and lessons you choose to carry forward. Connect Claude Code, Cursor, Codex, claude.ai or another compatible remote MCP client. Your AI can recall relevant work context from the selected authorized space, with its source and applicability visible.

Start free. No credit card for the current personal offer.

One decision, carried into the next session

You settle a launch decision with your AI:

For the Launch project, show the product demo first. Technical detail belongs in docs. Remember this confirmed decision with its source and project applicability.

In a later session:

Recall the Launch project's saved decisions before drafting the launch page. Show which decision applies and where it came from.

The decision can travel across projects and sessions within the authorized space while retaining its original applicability. A rule for one customer or project stays bounded. If it changes, correct it; if it no longer belongs, use scoped forget or exclusion.

Recall depends on the AI client actually calling the tool. Connecting MCP does not guarantee every answer uses saved context.

Connect your AI

Use Connect your AI for guided setup. Select your client and space, give the setup request to that AI, and complete authentication in the client. Use OAuth when the selected route supports it, or store a context key locally as the fallback. Never paste a key into an AI conversation or a GitHub issue.

Already connected? Choose Update my AI setup on the same page, then run its request in the intended project. This updates one recognized ClariLayer instruction block while preserving your own instructions.

ClientProject instruction target
Claude CodeCLAUDE.md
CodexAGENTS.md
Cursor.cursor/rules/clarilayer.mdc
claude.ai / other remote clientsFollow the connection and runtime guidance supported by that client

The installed bootstrap obtains the current workflow from get_project_stanza with mode: "runtime" once at the first relevant use in each new AI session. A routine server guidance update then reaches the next session without copying another long workflow into every project.

Optional setup CLI

The npm CLI supports context-key connection setup and a local dbt check. CLI 0.3.0 replaces the embedded Analytics instructions with a request for your connected AI and adds instructions --agent <client>.

Check which version is available before choosing a command:

bash
npm view clarilayer version

With 0.3.0 or later available:

bash
npx clarilayer@latest init# Already connected? Print only the instruction update request:npx clarilayer@latest instructions --agent codex

If your registry still serves 0.2.1, use npx [email protected] init --no-stanza to skip its older embedded instructions, then complete Update my AI setup through the guided setup above. The hosted path is available independently of npm publication.

See CLI.md for options and the source-checkout route, CHANGELOG.md for release history, and RELEASING.md for publication checks. Native instruction qualification records the tested client and its limits.

Full setup, manual connection examples and troubleshooting: QUICKSTART.md.

What your AI can do

WorkHow it works
Recallrecall_context retrieves relevant saved context across the selected authorized space. Preserve source and applicability; project and purpose are relevance hints, not permissions. Fetch complete entries with get_context_entry when needed.
Remember or correctremember with work_context saves confirmed durable facts, preferences, decisions, rules and lessons. Ambiguous changes and suggestions remain candidates for review.
ForgetRecall the target first, then use its returned entry ID for the requested forget operation. Do not guess names or delete related entries without a separate request.
Complete the context loopcontext_checkpoint records the AI's bounded completion declaration. It does not prove the AI used the right context or completed an external task.
Report usereport_context_use optionally links bounded feedback to delivered context. A delivery receipt alone is not evidence of answer quality.

The hosted MCP service was checked on September 17, 2026: capability v64 · server 0.39.0 · 23 tools. Use the live capabilities tool for the current list and versions. Capability reference.

Bring over selected history

After connection, you can choose supported local history, a destination space and an extraction provider, then inspect the exact preview before accepting an initial import. Ongoing capture requires a separate setup and grant for the sources you choose. Connecting MCP alone does not read history or enable capture.

Source support and extraction-provider support are separate. The current qualified extraction path uses a version-specific Claude CLI profile; OpenAI and Cursor extraction providers are unavailable, and native Cursor history qualification is limited. Check the current history guide before choosing a source.

Selected source content is processed by the chosen extraction provider. ClariLayer stores the extracted context rather than a raw transcript archive. Provider processing may use your allowance or incur provider usage charges.

Optional semantic search has separate organization consent and provider disclosure in Settings. A new connection or history-import choice does not grant that consent. Lexical recall remains available without it.

Analytics when your work needs it

ClariLayer for Analytics retains its specialist tools:

  • get_analysis_context recalls definitions, schema notes, saved queries and related context. Recall previews can be truncated; use get_context_entry for full bodies, stored SQL and CRM contracts.
  • bootstrap imports supplied SQL, dbt models, notes, data dictionaries and semantic models. It does not read a repository or warehouse by itself.
  • reconcile compares a saved definition with supported warehouse or bounded, row-free HubSpot evidence supplied by your agent. Salesforce contracts can be stored and recalled; Salesforce reconcile is disabled.

General work and engineering context are not independently reconciled. Live trust statuses remain asserted / caveat; verified is not live.

Watch the Analytics reconcile example

[Analytics example: recall a net-revenue definition, compare it with warehouse evidence, then retain a mismatch as a caveat]

A seeded Analytics demo. Your agent supplies the warehouse evidence; a mismatch becomes a caveat for later sessions. This illustrates the Analytics specialist path.

Check dbt documentation locally

bash
cd your-dbt-projectdbt docs generatenpx clarilayer dbt-check

The CLI compares local manifest.json and catalog.json files for phantom columns, missing catalog models, type-family mismatches and empty descriptions. No account or warehouse connection is needed for the local check. With an explicit --save, bounded findings are staged as proposals in your Context Inbox for review. --save --dry-run previews the payload without a network request.

See the CLI reference and Analytics recipes. The August 2026 dbt drift survey retains its method, evidence and limitations for the published 0.2.1 check.

Control and privacy

  • Saved context retains its source and applicability. Separate spaces do not merge automatically.
  • History import, ongoing capture and semantic processing each have their own setup or consent boundary.
  • In the personal MCP reconcile path, ClariLayer holds no warehouse or CRM credentials, executes no SQL and calls no HubSpot API. Your agent supplies the evidence. Warehouse evidence may include optional preview rows; CRM evidence is row-free.
  • Suggestions can be staged with propose / propose_batch for review. Pending proposals are not live recall context. Ad hoc conversation harvest requires an explicit request and sends distilled candidates, not the transcript.

Security · Privacy · Pricing

What is open source?

This repository's docs, examples, recipes and setup/dbt CLI are MIT licensed. The hosted ClariLayer service is proprietary. This repository is the public starting point for connecting to the service.

The Governed Context Edge is available through a hand-run private team pilot. Request early access.

For contributions and setup help, see CONTRIBUTING.md.

来源:README.md,提交 87188b0

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v0.31.0最新Sep 16, 2026

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