Andi 走「直接生成答案」的 AI 原生搜索路线:它直接用自研架构生成答案并标注来源,不包装传统检索结果, 免费无广告+不Andi takes the "generate the answer directly" AI-native search
AI 工具AI Tools · Research
AI 搜索与研究AI search & research
联网搜索问答、学术检索、AI 笔记/研究工作台——「帮你找答案、读文献、整理笔记」的产品。各家「深度研究」模式不单独立档(对象归 chat 档案的 capabilities 维);纯检索 API 基础设施归 nav。Web-search Q&A, academic retrieval, and AI-native research/notebook workbenches — products that "find answers, read papers, organize notes". Each vendor's "deep research" mode is not filed separately (it lives in the chat entry's capability axes); pure retrieval-API infrastructure goes to the nav site.
- 本站按 10 大类收录 AI 产品。编程、对话、图像、视频、音频、研究、自动化、框架、MCP 工具、本地运行器——每类都有明确的收录标准,写在各大类的目录页里。This site files AI products into 10 categories. Coding, chat, image, video, audio, research, automation, frameworks, MCP tools and local runners — each with explicit admission criteria, written on the category page itself.
- 大类看目录,形态看字段。一个产品属于哪一类由收录边界决定;它怎么装进你的工作流(IDE / CLI / 厂商云 / 框架 / MCP…)是另一根独立的轴。Category comes from the shelf, form from a field. Which category a product belongs to is decided by admission boundaries; how it installs into your workflow (IDE / CLI / vendor cloud / framework / MCP…) is a separate axis.
- 每条档案都是核验快照。字段逐条挂官方出处与核验日期,本站不实测、不排名,未知就写未知。Every entry is a verification snapshot. Each field carries an official source and a checked date; we run no benchmarks, publish no rankings, and write "unknown" when it is unknown.
全部对象All objects
按统一坐标系排列。点开任一对象可看到 模型与开放条件 / 运行位置 / 本地文件 / 关机后的任务 / 工具与扩展 / 上下文与记忆 / 权限与限制 / 适合什么任务 的完整记录、证据链接与未知项清单。Everything on one coordinate system. Open any object to see its full record across Model & openness / Where it runs / Local files / Tasks after shutdown / Tools & extensions / Context & memory / Permissions & limits / Best for, with source links and a list of unknowns.
ConsensusConsensus
Consensus 回答「科学界怎么说」:Consensus Meter 把多篇研究的结论极性统计成摘要—— 快速判断实证领Consensus answers "what does the scientific literature say": t
DevvDevv
Devv 是开发者向的 AI 搜索问答:代码问题→实时抓官方文档→带链接答案; 它答代码问题但不改代码库——与 codingA developer-facing AI search Q&A: coding questions → live fetc
ElicitElicit
Elicit 是学术文献的「检索+结构化抽取」工作台:研究问题→论文筛选→抽取表→带引用综述—— 系统性综述流程的 AI 化An academic-literature "retrieve + structured extraction" work
GensparkGenspark
Genspark 是「搜索→报告→幻灯片」一条龙的研究 agent:Sparkpage 重组检索结果、 Slides/SheA research agent doing "search → report → slides" end to end:
KagiKagi
Kagi 是「付费换隐私」的自建索引搜索引擎:无广告无追踪是主轴,AI 答案层(FastGPT/Teclis) 是附加——它A self-built-index search engine where you pay for privacy: no
秘塔 AI 搜索Metaso AI Search
秘塔 AI 搜索是「没有广告,直达结果」的中文 AI 搜索:自研 MetaLLM(少见的自研路线)、 六路检索、学术中文库细The Chinese AI search that "skips ads, goes straight to result
NotebookLMNotebookLM
NotebookLM 是「源锚定」的研究工作台:你给一组源,它只在这些源里回答+生成音频概览/学习指南; 它不是搜索引擎——A source-anchored research workbench: you hand it a set of sou
PerplexityPerplexity
Perplexity 是「答案带来源角标」的 AI 搜索旗舰:多模型路由+自研线,Comet 浏览器把检索延伸成 agentThe flagship of "answers with source footnotes" AI search: mul
天工 AI 搜索Tiangong AI Search
天工从「AI 搜索」长成了「超级智能体」:搜索打底,文档/PPT/表格/网页多模式直接出产物, 「做同款」模板复用;国产直连Tiangong grew from "AI search" into a "super agent": search as
You.comYou.com
You.com 的重心已经从消费端 AI 搜索转向企业检索基础设施(ARI/Research API): 消费端 answeYou.com has shifted its center of gravity from consumer AI sea
本站目前是「核验快照」,还没有实测数据This site is currently a verification snapshot — no measured runs yet
下面每一个字段都能回到官方原文核对,但我们还没有在同一批任务上跑过这些工具。Every field below can be traced back to the official source, but we have not yet run these tools on the same batch of tasks. 实测协议已经写好(统一任务、统一验收、记录人工介入与返工次数),任务清单也已就绪,The measurement protocol is written (shared tasks, shared acceptance criteria, recording human interventions and rework counts) and the task list is ready, but it is 尚未执行。not yet run.
所以本站给的是能力边界与证据,不是「哪个更好用」的结论。So what this site gives you is capability boundaries and evidence, not a verdict on which is better to use. 真正的选型请用你自己的输入、预算与验收标准跑一遍。For an actual choice, run them yourself against your own inputs, budget and acceptance criteria.
8 个维度,每格都能回溯8 dimensions, every cell traceable
所有对象在同一坐标系下被描述。All objects are described on the same coordinate system. 点开任一对象,每一格下面都有官方源链接与核验日期——不认同可以自己回去查。Open any object and every cell carries an official source link and a checked date — disagree and verify it yourself.
模型与开放条件Model & openness
用谁的模型?能不能换第三方?多模型路由怎么配?Whose model does it use? Can you switch to a third party? How is multi-model routing configured?
运行位置Where it runs
本地 / 云端 / 混合?索引在本地还是云端?远程控制不等于云端执行。Local, cloud or hybrid? Is the index local or remote? Remote control is not the same as cloud execution.
本地文件Local files
能访问多大范围?未打开的大文件怎么读?符号级能力如何?How wide an area can it reach? How does it read large files you have not opened? How capable is it at the symbol level?
关机后的任务Tasks after shutdown
电脑关了还能继续跑吗?这是本地形态最常见的误解来源。Does it keep running once the computer is off? This is the most common misconception about local forms.
工具与扩展Tools & extensions
工具链有多宽:MCP · LSP · 插件 · Hooks · 自定义指令。How wide is the toolchain: MCP · LSP · plugins · hooks · custom instructions?
上下文与记忆Context & memory
索引算法、上下文窗口、会话恢复与分叉、跨会话记忆边界。Indexing algorithm, context window, session resume and fork, and the boundary of cross-session memory.
权限与限制Permissions & limits
沙箱与审批边界、凭据管理、数据是否出境、额度如何计算。Sandbox and approval boundaries, credential handling, whether data leaves your machine, and how quota is charged.
适合什么任务Best for
最擅长什么任务?什么情况下别用它?What tasks is it best at? When should you not use it?
全部数据一览All data at a glance
同一张表横向对比。点对象名进详情页看逐格证据。The same table side by side. Click an object name to see per-cell evidence.
| 对象Object | 形态Form | 厂商Vendor | 适合Best for | 核验日Checked | 状态Status |
|---|---|---|---|---|---|
| AnANAndi SearchAndi Search | 网页服务Web service | Andi | 适合:要直接答案+解释风格的轻量研究、对追踪敏感、免费无广告需求。 不适合:深度学术检索(无学术垂直)、中文向主打、要可审计检索过程。Light research that wants direct answers with an explanatory style, tr | 2026-10-22 | partial |
| CoCOConsensusConsensus | 网页服务Web service | Consensus | 适合:「科学界怎么说」类问题(医学/营养/气候等实证领域)、快速结论极性判断、 文献初筛。 不适合:深度系统性综述(抽取面比 Elicit "What does science say" questions (medical/nutrition/climate and other | 2026-10-22 | partial |
| DeDEDevvDevv | 网页服务Web service | Devv AI | 适合:查 API 用法/报错/库文档(答案带官方文档链接)、中文开发者要直连可用的搜索问答。 不适合:改代码库(那是 coding 大类)、Looking up API usage/errors/library docs (answers carry official-doc l | 2026-10-22 | partial |
| ElELElicitElicit | 网页服务Web service | Elicit | 适合:系统性综述/文献调研(医学/社科/ML 等英文文献池)、要「抽取表」而非「读摘要」的研究者。 不适合:中文文献主打(学术库英文向)、非Systematic reviews and literature surveys (medical/social-science/ML E | 2026-10-22 | partial |
| GeGEGensparkGenspark | 网页服务Web service | Genspark | 适合:「搜索→报告→幻灯片」一条龙、要现成产物的研究交付、轻量 agent 任务外包。 不适合:要过程可控可审计(agent 黑箱度)、企业"Search → report → slides" end to end, research delivery that wants fi | 2026-10-22 | partial |
| KaKAKagiKagi | 网页服务Web service | Kagi | 适合:愿意付费换无广告/无追踪搜索体验、要「搜索+全文读」式答案(Teclis 线)、 对追踪敏感的用户。 不适合:免费用户(无免费档主打)Users willing to pay for ad-free/tracking-free search, "search + full- | 2026-10-22 | partial |
| 秘塔ME秘塔 AI 搜索Metaso AI Search | 网页服务Web service | 秘塔科技(上海秘塔网络科技)Metaso (Shanghai Metaso Network Technology) | 适合:中文资料深度检索(无广告直达结果)、学术中文库检索、要大纲/脑图结构化输出、国内直连。 不适合:英文向全球检索主打、把 AI 答案当无Deep Chinese research retrieval (ad-free straight to results), Chinese | 2026-10-22 | partial |
| NoNONotebookLMNotebookLM | 网页服务Web service | 适合:给定资料集内的问答与研究整理(论文组/尽调材料/课程资料)、把长材料转成音频概览、 要「答案只从你的源里出」的场景。 不适合:开放网络Q&A and research organization inside a given source set (paper groups, | 2026-10-22 | partial | |
| PePEPerplexityPerplexity | 网页服务Web service | Perplexity AI | 适合:带来源的事实问答、快速研究入口、英文向检索质量优先。 不适合:大陆直连(实测 000)、把答案当无源结论(必须点角标核原文)、中文深度Sourced factual Q&A, quick research entry points, English-first retrie | 2026-10-22 | partial |
| 天工TI天工 AI 搜索Tiangong AI Search | 网页服务Web service | 昆仑万维Kunlun Tech | 适合:中文搜索+办公产物一条龙(PPT/表格/文档直接生成)、国内直连、模板复用工作流。 不适合:英文向检索主打、把生成产物当免审成品(PPChinese search plus office artifacts in one chain (PPT/spreadsheet/doc | 2026-10-22 | partial |
| YoYOYou.comYou.com | 网页服务Web service | You.com | 适合:企业检索基础设施采购评估(ARI/Research API)、消费端多模型切换体验。 不适合:把消费端当长期承诺(重心已转企业端)、大Enterprise retrieval-infrastructure procurement evaluation (ARI/Resear | 2026-10-22 | partial |
为什么这里不给总分排名Why there is no overall ranking
这不是省略,是方法上的明确取舍。This is not an omission but a deliberate methodological choice.
- 缺统一实测,就不给分。跨工具的跑分口径不同——题目、预算、执行环境都不一样,A 的 90 分和 B 的 88 分不可比。No shared measurement, no score. Benchmarks across tools use different rules — different questions, budgets and environments. A 90 and a B 88 are not comparable.
- 「未知」是合法答案。查不到就写「未知」并说明为什么,不用推测填充。缺信息本身也是信息。"Unknown" is a legitimate answer. If it cannot be found, we write "unknown" and explain why, instead of filling the gap with guesses. Missing information is itself information.
- 来源链接、类型与核验日都在详情页里,可以逐条回去复核。The source link, its kind and the checked date are all on the detail page, so you can walk any of them back and re-check.
- lifecycle 单独标注。核验日新不等于数据有效——上游归档后数据会失效,所以单独标
active/maintenance/archived。lifecycle is marked separately. A recent check date does not mean the data is still valid — it goes stale when upstream archives the repo, soactive/maintenance/archivedare tracked separately. - 不同族不混排。找现成的、自己搭的、接上与跑起来的是三种角色,坐标系不同;硬合成一张总表只会制造假的可比性。Families are not mixed. Ready-made tools, things you build yourself, and plug-in-and-run components are three different roles with different coordinate systems; forcing them into one master table would manufacture false comparability.
可信度标记怎么读How to read the confidence marks
详情页与上表都带Both the detail pages and the table above carry confidence,它反映, which reflects 本站数据的完整度how complete this site's data is,不是对产品的评价。, not a judgement of the product.
| verified | 8 个维度均有官方源支撑,且核验日在 90 天内all 8 dimensions have official sources and were checked within 90 days |
|---|---|
| partial | 部分维度标为未知,或官方文档不可访问,或核验日超过 90 天some dimensions are marked unknown, or the official docs were unreachable, or checked over 90 days ago |
| stale | 官方已发布重大变化,本站尚未核验the vendor has shipped a significant change that this site has not re-checked |
本站当前的完整度Current completeness on this site
数据层用Recheck this figure with node scripts/audit-gaps.mjs 可随时复核这个数字。.
下表实时计算(本页档案最后核验日 2026-10-22):Computed from current data; profiles last checked 2026-10-22:
| 大类Category | 已补齐Filled | 说明Meaning |
|---|---|---|
| 深度研究Deep research | 53/88 | 检索与排序机制大多不公开;备案号、官方公告与条款页是最可核验的部分Retrieval and ranking internals are mostly undisclosed; filing numbers, official announcements and terms pages are the verifiable parts |
全站合计 1372/1896 维度已补齐Site-wide 1372/1896 dimensions filled(72%)
剩余未补齐项分三类:官方未公开(索引算法、沙箱实现细节本就不对外说明)、需实测才能确定(大仓库表现、CI 无 TTY 行为)、客观渠道不可达。The remaining gaps fall into three kinds: not disclosed by the vendor (indexing algorithms, sandbox internals are simply not documented), requires measurement (behaviour on very large repositories, CI without a TTY), and unreachable through objective channels.
我们选择留白而不是填「已支持」——错误的成本最终由使用者承担。We chose to leave a blank rather than fill in "supported" — the cost of an error is ultimately borne by whoever uses it.
数据来源与复核方式Sources and how to re-check them
全部数据来自开源仓库All data comes from the open-source repository speculcom/ai-handbook(CC BY 4.0)。 (CC BY 4.0).
每个条目都是纯 Markdown + frontmatter,含维度记录、证据链接、核验日与可信度标记。仓库内含:Every entry is plain Markdown plus frontmatter, carrying dimension records and an evidence chain with links, checked dates and confidence marks. The repository contains:
tools/METHODOLOGY.md—— 方法论总纲与核心规则the methodology charter and core rulestools/axes/—— 每个维度的定义与判定标准(含正反例)the definition and decision criteria for each dimension (with positive and negative examples)tools/SCHEMA.md—— 数据格式规范与构建校验规则the data-format spec and build validation rulestools/protocols/<大类><category>/_protocol.md—— 实测协议(the measurement protocol (尚未执行not yet run,故本站暂无实测结论), so this site has no measured conclusions)
发现错误或有新证据,欢迎提 Issue 或 PR——每条修正都会注明依据与影响范围。Found an error or have new evidence? Open an issue or a PR — each correction notes its basis and blast radius.