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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Cognee is an innovative open-source AI memory engine that converts unprocessed data into well-structured knowledge graphs, significantly improving the precision and contextual comprehension of AI agents. It accommodates a variety of data formats, such as unstructured text, media files, PDFs, and tables, while allowing seamless integration with multiple data sources. By utilizing modular ECL pipelines, Cognee efficiently processes and organizes data, facilitating the swift retrieval of pertinent information by AI agents. It is designed to work harmoniously with both vector and graph databases and is compatible with prominent LLM frameworks, including OpenAI, LlamaIndex, and LangChain. Notable features encompass customizable storage solutions, RDF-based ontologies for intelligent data structuring, and the capability to operate on-premises, which promotes data privacy and regulatory compliance. Additionally, Cognee boasts a distributed system that is scalable and adept at managing substantial data volumes, all while aiming to minimize AI hallucinations by providing a cohesive and interconnected data environment. This makes it a vital resource for developers looking to enhance the capabilities of their AI applications.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Code
Azure AI Search
Claude
Datadog
GitHub
Google Cloud BigQuery
LanceDB
LangChain
Linear
LlamaIndex
Model Context Protocol (MCP)
OpenAI Codex
PagerDuty
PostgreSQL
Python
Redis
SAP HANA
SQLite
Stripe
Weaviate

Integrations

Claude Code
Azure AI Search
Claude
Datadog
GitHub
Google Cloud BigQuery
LanceDB
LangChain
Linear
LlamaIndex
Model Context Protocol (MCP)
OpenAI Codex
PagerDuty
PostgreSQL
Python
Redis
SAP HANA
SQLite
Stripe
Weaviate

Pricing Details

$25 per month
Free Trial
Free Version

Pricing Details

$249/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cognee

Country

Germany

Website

www.cognee.ai/

Vendor Details

Company Name

Coral

Founded

2024

Country

United Kingdom

Website

withcoral.com

Product Features

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