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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Coral is a developer-focused data access platform that lets teams query different tools and systems with SQL instead of writing custom connectors. It converts APIs, databases, files, and software platforms into readonly schemas that agents and humans can inspect, join, and analyze. Users can connect sources such as GitHub, GitLab, Slack, Linear, Datadog, Sentry, OpenTelemetry, Intercom, Stripe, and incident management tools. Once connected, Coral makes those sources available as tables, allowing cross-system questions to be answered through standard SQL. The platform is designed for AI agent workloads, giving coding agents and operational assistants access to structured context without unsafe write access. Coral works through the command line and over MCP, so multiple agents can share one runtime. It includes query pushdown, caching, pagination handling, schema hints, recommended joins, and relationship learning based on usage patterns. These capabilities help reduce expensive tool loops and improve the quality of agent-generated answers. Coral gives teams a practical way to make scattered operational data accessible, queryable, and useful for engineering, SRE, security, support, and internal operations.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

GitHub Yes 
Model Context Protocol (MCP) Yes 
Slack Yes 
Adobe Acrobat Reader No 
Claude Code Yes 
Datadog Yes 
Discord No 
Jira No 
Linear Yes 
Next.js No 
OpenAI Codex Yes 
PagerDuty Yes 
Python No 
Sentry Yes 
Stripe Yes 

Integrations

GitHub Yes 
Model Context Protocol (MCP) Yes 
Slack Yes 
Adobe Acrobat Reader Yes 
Claude Code No 
Datadog No 
Discord Yes 
Jira Yes 
Linear No 
Next.js Yes 
OpenAI Codex No 
PagerDuty No 
Python Yes 
Sentry No 
Stripe No 

Pricing Details

$249/month
Free Trial No 
Free Version No 

Pricing Details

$20 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
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) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Coral

Founded

2024

Country

United Kingdom

Website

withcoral.com

Vendor Details

Company Name

Papr.ai

Founded

2024

Country

USA

Website

www.papr.ai/

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