Mr-remon219/search-boost 预览 preview

Mr-remon219/search-boost

Bundle捆绑包 Native原生 ⭐ 38 MIT Clients & Launchers客户端与启动器

Multi-engine web search and evidence synthesis for AI coding agents. Unified MCP server, Pi extension, and DeepSeek Harness bundle — free search, X/Twitter, parallel research, and TUI setup.

Project Overview项目介绍

SearchBoost is a unified open-source tool that provides multi-engine web search and structured evidence synthesis capabilities for AI coding agents. It uses a single shared core runtime and offers dedicated pre-built adapters for multiple popular agent platforms, including standard Model Context Protocol (MCP) servers, Pi, Claude Code, Codex, Cursor, and DeepSeek Harness. You can install it quickly via npm globally, then use the intuitive built-in CLI command to automatically set up full integration for your target agent platform in under a minute, with options for dry-run previews and workspace-specific installs. The tool offers four distinct core functions: fused parallel multi-engine search, smart clean webpage content fetching, public X (Twitter) intelligence, and an experimental adaptive iterative evidence loop.

This tool is built for developers who want their AI coding agents to access up-to-date public web information and synthesize verified evidence for coding or research tasks. It supports native parallel multi-agent research workflows on all hosts that allow subagent deployment, including Cursor, Claude Code, Pi, and DeepSeek Harness. When running a complex research task, it can dispatch separate search worker agents to gather relevant evidence in parallel, then assign a dedicated summarizer agent to produce a clean synthesized output without any extra tool access. It supports both fast response modes for simple queries and deep complex modes for more thorough open-ended research.

SearchBoost requires Node.js version 22.13 or higher to run, and it is released under the permissive open-source MIT license, with no cost for personal or commercial use. You can start using the tool immediately without any API keys, thanks to the built-in free keyless search engine pool that includes Bing, DuckDuckGo, Yahoo, and Exa’s free tier. The tool enforces strict local security: sensitive credentials are stored encrypted with POSIX 0600 permissions, it blocks SSRF attacks, pins target IPs, and rejects SOCKS proxies by default to prevent accidental leaks. If you use a TUN interface with Fake-IP routing, you will need to set the SEARCH_BOOST_TRUSTED_TUN=1 environment variable to allow proper routing.

SearchBoost是一款为AI编码代理提供多引擎网络搜索与证据合成的工具,拥有统一共享核心运行时,可适配MCP协议、Pi代理、DeepSeek Harness、Claude Code、Codex、Cursor等多种环境。它支持同时调用多个搜索提供商并行查询,自带免密钥的免费引擎池,也可添加付费API密钥使用高阶搜索服务,内置网页内容提取、X内容检索等多个工具模块。

它面向需要AI编码代理获取实时外部信息、合成可靠证据的开发者使用,支持多代理并行研究工作流,可将任务分发给多个搜索代理收集证据,再由汇总代理完成内容合成,区分快速响应和复杂研究两种模式。对于需要逐步验证信息的场景,还提供实验性的自适应证据循环,可以按限定步数完成多轮搜索,输出明确的证据覆盖状态。

本项目依赖Node.js 22.13及以上版本,采用MIT许可证开源,无需API密钥即可启动使用。敏感凭据会以加密方式存储在本地私有配置中,默认强制开启SSRF保护和目标IP钉选,明确拒绝SOCKS代理防止网络泄露,若使用Fake-IP路由的TUN接口需要手动设置环境变量放行。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 note1 项提示
  • 38 stars - an early-stage project星标 38,属于早期项目
DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

  • DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
  • External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
  • Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

  • Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
  • Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
  • curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
  • Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
  • Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
  • Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

dsh plugin --profile web add github:Mr-remon219/search-boost

把 Mr-remon219/search-boost 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

SearchBoost

Multi-engine web search & evidence synthesis for AI coding agents
One shared core runtime, deeply adapted for MCP, Pi, and DeepSeek Harness

version npm version Node version License Architecture Free tier

English · 中文文档


[!NOTE] Release & Branch Notice: The formerly standalone pi-search-boost and dsh-search-boost projects are merged into one codebase under lib/. Documented commands specifying @latest retrieve the official published npm package. To test code that is not in a published release, check out the branch or tag you need and follow Installation from Source & Development.


v0.2.4: single-snapshot Jev screening (schema V5), private research save/recovery, bounded PDF text extraction, Desktop integration, and separate package updates / integration management. See the release and migration notes: V3 adaptive inputs/outputs and the upgrade command have changed. This source version does not imply npm publication; @latest follows the published registry.

Table of Contents

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

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