PaprPapr.ai
|
||||||
Related Products
|
||||||
About
NoteRich is a smart note-taking app built around rich editing, AI memory, and local-first privacy. Your original notes stay 100% on your device, while AI features use only minimal context temporarily, without compromising privacy. It combines Markdown and rich text in one workspace, allowing users to write polished documents or work quickly with code-friendly syntax. Notes can include tables, charts, code blocks, math formulas, Mermaid diagrams, Graphviz graphs, ECharts visualizations, attachments, and media, making NoteRich useful for research, documentation, planning, and personal knowledge management. Its AI assistant is powered by local notes and gets smarter over time, helping users scan and extract content, summarize ideas, ask questions, and generate personalized insights from their own knowledge base. NoteRich’s AI Memory transforms a passive note collection into an active, intelligent knowledge base by combining local-first privacy with retrieval-augmented generation.
|
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.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Knowledge workers and note-takers seeking to organize, search, and privately interact with notes and documents using local-first AI
|
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
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$19.90 per year
Free Version
Supported
Free Trial
Supported
|
Pricing
$20 per month
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationNoteRich
United States
noterich.com
|
Company InformationPapr.ai
Founded: 2024
USA
www.papr.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Adobe Acrobat Reader
Not Supported
Discord
Not Supported
GitHub
Not Supported
HTML
Supported
Jira
Not Supported
Markdown
Supported
Mermaid Chart
Supported
Model Context Protocol (MCP)
Not Supported
Next.js
Not Supported
Python
Not Supported
|
Integrations
Adobe Acrobat Reader
Supported
Discord
Supported
GitHub
Supported
HTML
Not Supported
Jira
Supported
Markdown
Not Supported
Mermaid Chart
Not Supported
Model Context Protocol (MCP)
Supported
Next.js
Supported
Python
Supported
|
|||||
|
|
|