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Description
Papr is an innovative platform focused on memory and context intelligence, utilizing AI to create a predictive memory layer that integrates vector embeddings with a knowledge graph accessible through a single API. This allows AI systems to efficiently store, connect, and retrieve contextual information across various formats such as conversations, documents, and structured data with remarkable accuracy. Developers can seamlessly incorporate production-ready memory into their AI agents and applications with minimal coding effort, ensuring that context is preserved throughout user interactions and enabling assistants to retain user history and preferences. The platform is designed to handle a wide range of data inputs, including chat logs, documents, PDFs, and tool-related information, and it automatically identifies entities and relationships to form a dynamic memory graph that enhances retrieval precision while predicting user needs through advanced caching techniques, all while ensuring quick response times and top-notch retrieval capabilities. Papr's versatile architecture facilitates natural language searches and GraphQL queries, incorporating robust multi-tenant access controls and offering two types of memory tailored for user personalization, thus maximizing the effectiveness of AI applications. Additionally, the platform's adaptability makes it a valuable asset for developers looking to create more intuitive and responsive AI systems.
Description
past.dev provides a memory API designed for developers who are creating AI agents and applications with long-term memory capabilities. This service allows applications to submit timestamped text from various sources such as conversations, emails, meetings, support records, CRM notes, and documents, from which it extracts memories and delivers ranked results along with corresponding dates and excerpts from the original data. The API includes features for ingestion, bulk ingestion, memory recall, deletion, project and identity management, as well as audience-specific access controls and webhooks. Developers have the option to connect via JSON endpoints or secure Model Context Protocol servers, and can enhance their experience with companion plugins compatible with tools like Claude Code, Codex, Cursor, JetBrains IDEs, and Hermes Agent. As a managed cloud solution, it provides a user-friendly console for managing API keys, monitoring usage, and reviewing request logs; additionally, it offers enterprise deployments that can be hosted on a customer's AWS, Google Cloud, or Azure account. This innovative platform is particularly beneficial for software teams looking to integrate lasting, source-based memory into their AI agents and applications, thereby enhancing the overall functionality and user experience. Ultimately, past.dev aims to facilitate smarter interactions and improve knowledge retention in AI-driven systems.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
Yes
Adobe Acrobat Reader
Yes
Claude
No
Claude Code
No
Cursor
No
Discord
Yes
GitHub
Yes
GitHub Copilot
No
Hermes Agent
No
JetBrains Junie
No
Integrations
Model Context Protocol (MCP)
Yes
Adobe Acrobat Reader
No
Claude
Yes
Claude Code
Yes
Cursor
Yes
Discord
No
GitHub
No
GitHub Copilot
Yes
Hermes Agent
Yes
JetBrains Junie
Yes
Pricing Details
$20 per month
Free Trial
No
Free Version
Yes
Pricing Details
$99/month
Pay as you go is $0/month and starts with 150,000 credits, or 400,000 credits with a work email. Additional credits start at $30 for 100,000 credits. Flex is $99/month and includes 400,000 credits, unlimited recall, five projects, and 30-day credit rollover; additional credits start at $30 for 100,000 credits. Enterprise pricing is custom and starts at 5,000,000 credits per month.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Papr.ai
Founded
2024
Country
USA
Website
www.papr.ai/
Vendor Details
Company Name
past.dev
Founded
2025
Country
United States
Website
past.dev/
