Papr

Papr

Papr.ai
+
+

Related Products

  • MongoDB Atlas
    1,650 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • DataHub
    10 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Google Compute Engine
    1,163 Ratings
    Visit Website
  • Bitdefender Ultimate Small Business Security
    3 Ratings
    Visit Website
  • ManageEngine OpManager
    1,635 Ratings
    Visit Website
  • LogicalDOC
    126 Ratings
    Visit Website
  • LM-Kit.NET
    24 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website

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.

About

An entity framework for Go. Simple, yet powerful ORM for modeling and querying data. Simple API for modeling any database schema as Go objects. Run queries, and aggregations and traverse any graph structure easily. 100% statically typed and explicit API using code generation. The latest version of Ent now includes a type-safe API enabling ordering by fields and edges. This API will soon be available in our GraphQL integration too. You can now visualize your Ent schema as an ERD with one command. The API enables you to easily integrate features such as logging, tracing, caching, and even implementing soft deletion with 20 lines of code! The Ent framework supports GraphQL using the 99designs/gqlgen library and provides various integrations. Generating a GraphQL schema for nodes and edges defined in an Ent schema. Efficient field collection to overcome the N+1 problem without requiring data loaders.

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

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

Audience

Developers and users searching for an ORM solution for modeling and querying data

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

$20 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Papr.ai
Founded: 2024
USA
www.papr.ai/

Company Information

ent
United States
entgo.io

Alternatives

Alternatives

Galaxy Modeler

Galaxy Modeler

Ideamerit
EverMemOS

EverMemOS

EverMind
WunderGraph Cosmo

WunderGraph Cosmo

WunderGraph
MemU

MemU

NevaMind AI
LangMem

LangMem

LangChain

Categories

Categories

Integrations

Adobe Acrobat Reader
Discord
Docker
GitHub
Go
GraphQL
Homebrew
Jira
MariaDB
Model Context Protocol (MCP)
MySQL
Next.js
PostgreSQL
Python
SQLite
Slack

Integrations

Adobe Acrobat Reader
Discord
Docker
GitHub
Go
GraphQL
Homebrew
Jira
MariaDB
Model Context Protocol (MCP)
MySQL
Next.js
PostgreSQL
Python
SQLite
Slack
Claim Papr and update features and information
Claim Papr and update features and information
Claim ent and update features and information
Claim ent and update features and information