PaprPapr.ai
|
||||||
Related Products
|
||||||
About
The world is lacking a decentralized graph of canonical knowledge that is open, free, and permissionless, and incentivizes agents to enter data into the graph. Our vision is to create a protocol that maps the 10 billion entities that exist and the public knowledge that surrounds them. Triples, also known as fact triples or SPO triples, are the elemental building blocks of facts that link entities together forming a graph. They are the atoms that build the universe of knowledge as we know it. The protocol supports a rich set of triples types, qualifiers, and associated evidence. The triple graph can be used to power Dapps and services that require fundamental knowledge. Each agent can submit triples to be validated, and, if accepted, will be rewarded tokens. Validators and predictions from the knowledge graph itself decide if triples are accepted. In essence, the protocol incentivizes the knowledge graph construction while defending against gaming attacks.
|
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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Crypto traders and any user looking for a decentralized canonical knowledge graph solution to manage their assets
|
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
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$20 per month
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationGolden
golden.xyz/
|
Company InformationPapr.ai
Founded: 2024
USA
www.papr.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Adobe Acrobat Reader
Brave Browser
Coinbase
Discord
GitHub
Jira
Model Context Protocol (MCP)
Next.js
Python
Slack
|
Integrations
Adobe Acrobat Reader
Brave Browser
Coinbase
Discord
GitHub
Jira
Model Context Protocol (MCP)
Next.js
Python
Slack
|
|||||
|
|
|