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Clipto

Clipto is a local-first AI memory layer and multimodal search engine that indexes local videos, meeting recordings, voice notes, screenshots, and documents directly on your device. Designed for privacy and high performance, it transcribes audio, analyzes visual scenes, and returns exact timestamped moments with verifiable source citations. Clipto integrates seamlessly with external workflows by exposing its local memory index to AI tools like Claude, ChatGPT, and Cursor via MCP, while offering NLE plugins for Premiere Pro and DaVinci Resolve.

Last checked2026-09-10

Product image for Clipto

01 — OUR TAKE

Who and what it suits

Clipto positions itself as an on-device personal memory layer connecting local user content to the AI agent ecosystem. Official details highlight local transcription, timestamp-accurate multimodal search, and native integration with LLMs via MCP and video editors via dedicated plugins. Users should note hardware requirements (Apple Silicon with 16GB+ RAM, or Windows with 12GB+ RAM) and the beta status of the Windows build, alongside unconfirmed pricing and data privacy policies.

Best for

  • Researchers, analysts, and knowledge workers requiring timestamped source citations across massive video and document archives
  • Video editors and content creators managing extensive footage libraries in Premiere Pro or DaVinci Resolve
  • Power users wanting to expose their local file index to Claude, ChatGPT, or Cursor via MCP while preserving local privacy

Not ideal for

  • Users operating hardware below the required specifications (Apple Silicon Mac with 16GB+ RAM or Windows PC with 12GB+ RAM)
  • Windows users seeking a fully finalized production release, as the Windows build is currently in beta
  • Teams looking for purely cloud-native team collaboration tools without local desktop setup

What stands out

  • Local-first architecture ensures raw video, audio, and documents remain private on device
  • Multimodal search delivers precise timestamped links and direct visual or text citations
  • Open integration support including Model Context Protocol (MCP) for LLMs and NLE plugins for DaVinci Resolve and Premiere Pro

What to consider

  • High device resource requirements: 16GB+ RAM on Apple Silicon Mac or 12GB+ RAM on Windows PC
  • Pricing models, plan tiers, and free trial quotas are not clearly disclosed on the official homepage
  • The Windows desktop application is currently designated as a beta release