PaprPapr.ai
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RAMMapMicrosoft
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Related Products
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About
Papr is an AI-native memory and context intelligence platform that provides a predictive memory layer combining vector embeddings with a knowledge graph through a single API, enabling AI systems to store, connect, and retrieve context across conversations, documents, and structured data with high precision. It lets developers add production-ready memory to AI agents and apps with minimal code, maintaining context across interactions and powering assistants that remember user history and preferences. Papr supports ingestion of diverse data including chat, documents, PDFs, and tool data, automatically extracting entities and relationships to build a dynamic memory graph that improves retrieval accuracy and anticipates needs via predictive caching, delivering low latency and state-of-the-art retrieval performance. Papr’s hybrid architecture supports natural language search and GraphQL queries, secure multi-tenant access controls, and dual memory types for user personalization.
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About
Have you ever wondered exactly how Windows is assigning physical memory, how much file data is cached in RAM, or how much RAM is used by the kernel and device drivers? RAMMap makes answering those questions easy. RAMMap is an advanced physical memory usage analysis utility for Windows Vista and higher. Use RAMMap to gain understanding of the way Windows manages memory, to analyze application memory usage, or to answer specific questions about how RAM is being allocated. RAMMap’s refresh feature enables you to update the display and it includes support for saving and loading memory snapshots. For definitions of the labels RAMMap uses as well as to learn about the physical-memory allocation algorithms used by the Windows memory manager.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers and engineering teams building AI agents and context-aware applications that need persistent, high-accuracy memory and retrieval to maintain context across sessions and data sources
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Audience
IT teams looking for a RAM boosting solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$20 per month
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationPapr.ai
Founded: 2024
USA
www.papr.ai/
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Company InformationMicrosoft
Founded: 1975
United States
docs.microsoft.com/en-us/sysinternals/downloads/rammap
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Categories |
Categories |
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Integrations
Adobe Acrobat Reader
Discord
GitHub
Jira
Model Context Protocol (MCP)
Next.js
Python
Slack
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Integrations
Adobe Acrobat Reader
Discord
GitHub
Jira
Model Context Protocol (MCP)
Next.js
Python
Slack
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