介紹
本地記憶庫

把你知道的一切，整理成一個就在電腦上的記憶庫。

你所有的影片、圖片、會議、對話、文件和想法——一個可搜尋的記憶，直接存在你的個人電腦中。

下載 Mac 版

下載 Windows 版beta

同樣支援 iOS 掃描以下載 iPhone 版掃描下載、Android 與 Web，由雲端驅動，並可透過 MCP、Premiere Pro 與 DaVinci Resolve 插件連線

需求：Apple silicon Mac（M1+），配備 16GB+ 記憶體 ·Windows PC 配備 12GB+ 記憶體

受到頂尖企業與大學專業人士的信賴

我們正被資料淹沒，卻依然缺少真正的記憶。

每天都有新一波資料湧入：會議、錄音、語音備忘錄、截圖和文件。它們一個個進了資料夾，然後消失。一切明明都在，卻在你需要時找不回來。你需要的不是更多儲存空間，而是記憶庫。

人會記住時刻，電腦只記得檔名。

Clipto 把雜亂資料整理成一個持續成長、可重複使用的記憶庫。

原始檔案流入，理解逐步建立，記憶持續累積——永不停止。

→

擷取

Videos

Footage, clips

Meetings

Calls, interviews

Voice

Memos, recordings

Photos

Screenshots, images

Documents

PDF, DOCX, slides

Bookmarks

Links, references

Clipto記憶庫

了解 · 連結 · 記住

Today3 months1 year

PeopleProjectsIdeasEventsConnections

再利用

Search→

Find exact moments

Summary→

Reusable context

Editing→

Locate source clips

Research→

Trace evidence

Agent→

Answer with memory

Insights→

Surface hidden patterns

記憶庫不是資料庫，記憶會持續演化。

記憶從資料原本所在的地方開始：本地。

你的記憶不應該從上傳開始。 你的影片不應該只是為了變得可搜尋，就得離開你的裝置。你的對話不應該先存在雲端，AI 才能理解。

Traditional AI flow uploads your data before it can be searched

Clipto local memory keeps data local while making it searchable

本地優先。不是只限本地。

記憶始於你的資料已經所在之處。雲端智慧是可選的。無論你在哪裡使用，記憶始終屬於你。

你的記憶庫。
出現在你使用的每一個 AI 裡。

從你已經在使用的 AI 存取你的記憶庫：Claude、ChatGPT、Cursor，或透過 MCP 連接的 Clipto Agent。每個答案都可追溯到來源中的人物、時刻和精確時間戳。

一切都來自記憶庫。

Works with

Ask inside Claude — same Memory, same sources.

Find every customer mentioning workflow speed.

12 mentions across 8 conversations in the last 90 days. Three customers raised it unprompted — most recently Meridian, last Tuesday.

14:32Meridian — discovery call · “if it saved my team an hour a week…”

03:11Atlas onboarding — “the review step is where we lose whole days”

27:48Research interview #4 — “speed is the only metric my boss asks about”

Ask inside ChatGPT — same Memory, same sources.

What did we decide about the Q3 roadmap?

The team prioritized performance work over new integrations, pushing the API expansion to Q4 after two customers flagged onboarding friction.

08:14Roadmap planning — “let's ship performance work before anything new”

41:02Customer call w/ Atlas — “onboarding took us three days, that's the real blocker”

12:57Follow-up sync — “push the API expansion to Q4, no debate”

Pull context into Cursor — same Memory, same sources.

Why did we pick Postgres over Mongo for this service?

Architecture review favored strict schema guarantees for billing data — Mongo was ruled out after a migration failure last year.

05:33Architecture review — “billing needs transactions, that rules out Mongo”

19:47Postmortem replay — “the schema drift is exactly what broke prod in March”

02:10Design doc walkthrough — “Postgres gives us the constraints for free”

Any MCP-compatible tool — same Memory, same sources.

Summarize what Alex said about the launch timeline.

Alex pushed the launch two weeks to finish QA, citing unresolved edge cases in the payment flow.

33:20Launch sync — “I'd rather slip two weeks than ship a broken checkout”

07:05QA standup — “payment edge cases still failing intermittently”

15:48Alex 1:1 — “let's lock the new date and communicate it today”

同一個記憶庫，多種工作場景。

適用於各種工作方式。

Video

Creators

Years of footage becomes a searchable library. B-roll organizes itself.

The drone shot where the car rounds the bend.

Search by what's on screen, not the filename
Auto-tagged by scene, subject and shot type
Jump straight to the exact frame, ready to cut

Memory search

Across your local library

On-device

VideoTranscriptScenes

Matches found47 clips

▶00:58

▶01:42

▶03:17

02:10Wide shot, dune ridge at sunset

04:33Car door close-up, chrome reflection

🔎Sandstorm_A004.mp4 · dune corner, golden hour

Sources linked to their original momentsPrivate

Audio

Analysts

Every earnings call, report and note stays queryable — with sources.

What changed in guidance since Q1?

Every claim links straight back to its source
Track how guidance shifts quarter over quarter
Ask follow-up questions across years of calls

Memory search

Across your local library

On-device

AudioTranscriptNotes

Matches found12 mentions

🎙️

31:05

18:42CFO: “we’re raising full-year guidance”

45:10Analyst Q&A on margin expansion

🔎Guidance-2026.pdf · p.4 · raised to 12–14%

Sources linked to their original momentsPrivate

Video

Students

Every lecture, slide and reading becomes a study partner that remembers.

Where did the professor derive entropy?

Ask questions across an entire semester of lectures
Jump to the exact slide or moment it was taught
Auto-generated notes from every recorded class

Memory search

Across your local library

On-device

VideoTranscriptScenes

Matches found9 lectures

▶47:20

▶12:03

▶29:18

08:15Intro to the second law of thermodynamics

33:40Worked example: entropy of an ideal gas

🔎Week 6 slides · p.18 · dS = δQ / T

Sources linked to their original momentsPrivate

Audio

Product teams

Decisions stop getting lost in meetings. Context survives the quarter.

Why did we drop usage-based pricing?

Trace any decision back to the exact meeting
New hires catch up without asking around
Past debates surface before you repeat them

Memory search

Across your local library

On-device

AudioTranscriptNotes

Matches found6 meetings

🎙️

22:14

07:02Sales: “customers hate the usage cap”

19:50Decision: revert to flat pricing

🔎Decision doc v3 · reverted after churn spike

Sources linked to their original momentsPrivate

Sources

Researchers

Interviews, papers and field notes stay connected to their evidence.

Every quote about battery degradation.

Every quote traces back to its original source
Cross-reference findings across every study
Build citations without re-reading everything

Memory search

Across your local library

On-device

DocumentsQuotesReferences

Matches found18 notes

Found

linked notes

p.12Interview #3 — capacity fade at 45°C

p.27Field log — cycle count vs degradation

📄Field study draft · cells degrade 18% faster

Sources linked to their original momentsPrivate

Audio

Journalists

Recordings and notes traced to the exact second they were said.

The mayor's exact words on the budget.

Verify any quote down to the exact timestamp
Search across every interview you've recorded
Fact-check a claim in seconds, not hours

Memory search

Across your local library

On-device

AudioTranscriptNotes

Matches found31 clips

🎙️

14:32

05:47Mayor: “we inherited this shortfall”

21:03Follow-up question on budget cuts

🔎Transcript · "the budget will not grow"

Sources linked to their original momentsPrivate

從任何入口開始，最後都匯入同一個記憶庫。

無論你從哪個 Clipto 工具開始，都不是在選一個單點產品，而是在打開一個入口。每個工具都會共同建立同一個記憶庫。

AI 轉錄建立記憶庫會議紀要建立記憶庫影片摘要建立記憶庫語音筆記建立記憶庫媒體搜尋建立記憶庫 YouTube 摘要建立記憶庫 B-roll 搜尋建立記憶庫

一個系統不是彼此割裂的產品。
同一個記憶庫。

只需建立一次你的記憶庫。
長久使用。

掃描下載Android WWeb MMCP PrPremiere Pro 外掛 DDaVinci Resolve 外掛

Mac 與 Windows 採用本地優先架構 · iPhone、Android 與 Web 由雲端提供能力

如果你每天都在處理內容，這就是為你準備的

攝影師

作為英國的餐廳攝影師，我每天都拍攝大量素材——食物特寫、調酒畫面、氛圍鏡頭。最難的從來不是拍攝，而是翻查硬碟找出一個特定時刻。Clipto 會自動替所有素材加上標記，所以我只要輸入關鍵字，就能直接跳到那個畫面，精確到時間碼。它把我那混亂的檔案庫變成了可搜尋的圖書館。

Alen Zhan

影片剪輯師

我可能會覺得這對我客戶的所有工作都很有幫助。這是一個有趣的計畫。對於創作者經濟來說，可能有一個很大的市場會從中受益。

Alex Grubb

影像代理商老闆

我們每個月都要執行多個客戶專案，過去手動記錄非常耗時：總得有人盯著所有內容、補充筆記、標註講者、標出關鍵時刻。自動標記幾乎省去了這個步驟。重點不是要做到完美，而是讓我們瞬間完成80%的整理。接下來，團隊就能直接搜尋、精修，而不必從零開始。

Daniel

電影製作人

身為電影製作人，我每個場景都會拍很多條，事後要挑出最好的一條，就得把所有畫面全部看過一遍。Clipto 正是我想要的——我只要搜尋需要的瞬間，幾秒鐘內就能找到。

Kattie

行銷人員

我的行銷活動影片和片段散落在硬碟和資料夾裡，我從來記不起東西在哪裡。現在我只要輸入想找的東西，Clipto 幾秒鐘內就能找到完全相同的片段——不用打開資料夾，也不用上傳，所有東西都留在我的 Mac 上。

lan

取得 Clipto 年度專業版 + Hollyland 麥克風

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兩者都買

介紹 本地記憶庫

我們正被資料淹沒，卻依然缺少真正的記憶。

記憶從資料原本所在的地方開始：本地。

你的記憶庫。出現在你使用的每一個 AI 裡。

Creators

只需建立一次你的記憶庫。長久使用。

如果你每天都在處理內容，這就是為你準備的

取得 Clipto 年度專業版 + Hollyland 麥克風

介紹
本地記憶庫

你的記憶庫。
出現在你使用的每一個 AI 裡。

只需建立一次你的記憶庫。
長久使用。