memories.ai valid

Memories.ai

AI video analysis platform with persistent visual memory. Analyzes video from 20+ platforms using Large Visual Memory Models (LVMM).

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T18:46:25.142Z. Cached copy · Source on memories.ai

# Memories.ai

> AI video analysis platform with persistent visual memory. Analyzes video from 20+ platforms using Large Visual Memory Models (LVMM).

## What Memories.ai Does

Memories.ai is an AI-powered video understanding platform founded in 2023. It processes video content from YouTube, TikTok, Instagram, X/Twitter, Vimeo, Twitch, Snapchat, LinkedIn, Reddit, Pinterest, Telegram, WhatsApp, Weibo, Streamable, OK.ru, VK, and direct upload (MP4, MOV, AVI, WebM). The core technology — Large Visual Memory Model (LVMM) — extracts scenes, speech, on-screen text, objects, and key moments from video, enabling natural-language search and Q&A across unlimited video context.

A 1-hour video is analyzed in under 2 minutes, producing timestamped transcripts, scene detection, OCR text extraction, entity recognition, and structured summaries. Unlike general-purpose LLMs with limited video context windows, Memories.ai maintains persistent visual memory across entire video libraries.

## Key Differentiators

- **Large Visual Memory Model (LVMM):** proprietary AI architecture for persistent, cross-video visual memory — not just single-clip analysis
- **Speed:** 1-hour video processed in under 2 minutes
- **Platform breadth:** 20+ video platforms natively supported
- **Multimodal:** scene, speech, OCR, objects, faces, and behavior in one pass
- **Enterprise-grade:** on-premise deployment, API access, model fine-tuning
- **Hardware partners:** NVIDIA, Qualcomm, Samsung, Lenovo for on-device AI

## Who It's For

- Content creators and social media managers analyzing video performance
- Marketing teams extracting insights from competitor and brand video
- Security and surveillance operations needing real-time anomaly detection
- Sports analytics teams reviewing game footage and player behavior
- Media production and post-production for asset search and editing
- Enterprise teams requiring video compliance, audit, and governance
- Device OEMs integrating on-device visual AI (partners: NVIDIA, Qualcomm, Samsung, Lenovo)
- Researchers studying video at scale

## Core Features

- **Video Analyzer:** multimodal analysis across 20+ platforms — scene detection, OCR, object recognition, timestamped summaries
- **Interactive Video Q&A:** ask natural-language questions about video content, get context-aware answers with timestamps
- **Video Search AI:** find exact moments across video libraries by describing them in text
- **AI Video Summarizer:** condense long-form video into structured key moments and highlights
- **Video Transcription:** speech-to-text with speaker identification and timestamp alignment
- **Video Editing AI:** semantic editing and clip generation based on natural language instructions
- **Creator Insights:** YouTube and TikTok performance analytics — retention, engagement, and audience signals
- **AI Video Recognition:** object, face, logo, and behavior detection across frames
- **Video Caption AI:** frame-accurate,
…

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Machine-readable: GET /v1/resolve?q=memories.ai · GET /v1/domain/memories.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain

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Claim my listing on Agent Web Map for memories.ai:
1. POST https://agentwebmap.com/v1/sites/memories.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://memories.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/memories.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/memories.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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