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brew

使用 Homebrew 安装 bkmr

查看 bkmr 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install bkmr

local Homebrew formula metadata

概览

软件包摘要

Unified CLI Tool for Bookmark, Snippet, and Knowledge Management

命令和别名

  • bkmr

历史

项目历史与用法

bkmr is a local-first CLI for bookmarks, snippets, shell commands, markdown notes, files, and agent memory. In package terms it sits between personal knowledge management and developer workflow tooling.

项目历史

The GitHub repository was created in 2023, and the crate was published on crates.io soon after. The README describes bkmr as 'Knowledge Management for Humans and Agents' and highlights local full-text and semantic search, JSON output, a built-in LSP server, and structured agent-memory workflows.

采用历史

bkmr remains a relatively small but active package, distributed through crates.io and Homebrew. Its README notes appearance as This Week in Rust crate of the week 482, which helped place it in the Rust CLI ecosystem.

使用方式

Users add URLs, snippets, shell commands, markdown, text, local files, or agent memories with tags, then search or dispatch them through commands such as search, hsearch, sem-search, add, open, import-files, tags, and lsp. Configuration is generated to ~/.config/bkmr/config.toml, with a local database created by the user.

为什么软件包爱好者会关心

bkmr is interesting because it combines older bookmark-manager and snippet-manager ideas with newer local embeddings and AI-agent memory conventions. For package watchers it is a compact Rust example of the 'local knowledge base as CLI primitive' trend.

时间线

  • 2023: bkmr repository is created on GitHub.
  • 2023: bkmr crate is published on crates.io.
  • 2023: The project is featured as This Week in Rust crate of the week 482.
  • 2020s: bkmr adds agent-memory, semantic-search, JSON, and LSP-oriented workflows.

Related projects

  • bkmr overlaps with bookmark managers, snippet managers, local note systems, and command launchers, but differs by exposing its store through a scriptable CLI and JSON output.
  • The README positions its agent-memory mode as a reusable protocol, including a bundled bkmr-memory skill.

安全态势

尚未找到受保护工具覆盖

没有找到 bkmr 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 2 个运行时依赖。
  • 构建元数据列出 1 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
~/.config/bkmr/config.toml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
bkmrcli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-25
管理器版本7.6.7
管理器更新时间2026-07-12
本地数据OK
上游当前
检测到的最新版本v7.6.7

https://github.com/sysid/bkmr

  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:bkmr
版本7.6.7
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/bkmr
主页https://github.com/sysid/bkmr
仓库https://github.com/sysid/bkmr
上游文档https://github.com/sysid/bkmr#readme
许可证BSD-3-Clause
源码归档https://github.com/sysid/bkmr/archive/refs/tags/v7.6.7.tar.gz
最后更新2026-07-12T12:00:06Z
Pulseupdated
依赖onnxruntime, openssl@3
构建依赖rust
macOS 提供的库python
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namebkmr
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment