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argo

DeepSeek HarnessMCP Server Tools & Capabilities Low risk

专门为 agent 打造的开源 agent 搜索工具,具备 200+的搜索源及多语言搜索能力,覆盖中文/英文/学术/代码/购物/金融/新闻/百科。

专为 agent 打造的搜索工具:多语言,覆盖中文/英文/学术/代码/购物/金融/新闻/百科。

How to install

DeepSeek Harness dsh plugin add argo-search
MCP Server npx -y argo-search

About

--- 它和「模型自带搜索 / AI 搜索 / 聚合搜索」比,强在哪 简单来说:前三种方案解决「**人**找信息」,Argo 解决「**Agent 及搜索核查于一身,具备一条龙的搜索服务**」。差别不在界面,在交付物,给人看的叫总结页或链接清单,给 Agent 的应是能排序、能复核、不撑爆上下文的优质内容,更可靠的搜索信息。 | 维度 | 模型自带搜索 | AI 搜索(总结型) | 聚合搜索 / 搜索引擎 | **Argo** | |------|------------|-------------------|---------------------|----------| | 结果形态 | 拼好的长文本 | 给人看的总结页 | SERP 链接清单 | **精简 JSON:证据候选 + 可信度分解** | | 垂直问题(行情 / 化学式) | 泛搜网页 | 泛搜再总结 | 泛搜网页 | **直连垂直源,直接给答案** | | 证据可信度 | 无评分 | 无结构化评分 | 无评分 | **selection · absorption · freshness · 共识** | | 重复查询 | 每次都打网 | 每次都打网 | 靠页面缓存 | **双层缓存(内存 + SQLite),热查询约 10ms** | | 成本控制 | 不可控 | 单次贵 | 免费但费事 | **预算模式,免…

Recommendation signals

66 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
66 Overall
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Meta

License
MIT
Language
Python
GitHub stars
152
mo. downloads
177
Last push
2026-09-17
Created
2026-07-18

Links

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
academic-search, agent-tools, ai-agent, deep-research, dsh-ecosystem, dsh-plugin, evidence-verification, mcp-server, metasearch, python, search-engine, web-search

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