CORE
Memory and actions layer for AI applications
Shyft Score
Directory quality rating
65/100
Active
Found in 1 source
Our take
The verdict on CORE
AI-generated
CORE enables AI applications to maintain context across conversations and automate actions, essential for building reliable AI workflows.
Strengths
- Memory and action capabilities
- Enhances AI tools
- Free trial available
Limitations
- Limited integrations
- Pricing not transparent
- No AI agent support
Best for: Engineering teams looking to enhance AI tool capabilities
Request a demo to evaluate CORE for your team.
See how CORE fits your stackBenefits
Why teams choose CORE
Reduce time spent re-explaining context to AI tools by up to 80%
Automate repetitive tasks based on your work patterns without manual setup
Get consistent AI responses across all your tools with shared memory
Make data-driven decisions about AI tool usage with real-time performance insights
About
What is CORE?
CORE adds persistent memory and contextual actions to AI tools. It manages conversation history, triggers automated workflows based on user behavior, and connects with LLMs and platforms. Teams use CORE to build AI applications with long-term context and automated responses.
Key capabilities
AI-driven memory management
Automated action triggers based on user behavior
Integration with popular AI tools for seamless workflow
Customizable user interface for enhanced usability
Real-time analytics and reporting on tool usage
At a glance
Category
ai-assistant
Department
Engineering
Pricing
Subscription (from $29/mo)
GitHub stars
1.4k
Website
getcore.me
Capabilities
API
Use cases
What you can do with CORE
Adding persistent conversation memory to chatbots
Triggering automated workflows from AI decisions
Building context-aware AI applications
Automating responses based on user behavior patterns
Best for
AI developers and product teams building LLM applications that need conversation context and behavior-triggered automation.
Pricing
CORE pricing
CORE starts at $29/mo
Starting at $29/mo
Ecosystem
Connected ecosystem
MCP servers, AI skills, and integrations that work with CORE
MCP servers
Use CORE with AI agents via these MCP servers
core
Efficient, modular TypeScript toolkit for enterprise MCP servers.
npx 27
core
A framework to quickly build AI Native IDE products with Model Context Protocol support.
npx 3.6k
matlab mcp core server
Run MATLAB seamlessly with AI applications using the official MATLAB MCP Server.
349
peta core
Peta Core: The secure control plane for managing AI agent interactions with internal tools and APIs.
npx 42
mcp summarization functions
Intelligent summarization for AI agents to optimize context management and improve performance.
npx 37
serpapi mcp
Access comprehensive search engine results with the SerpApi MCP Server.
pip 123
Integrations
ZapierSlackGoogle WorkspaceMicrosoft TeamsTrelloAsanaNotionSalesforceHubSpot
AI & automation capabilities
REST API
MCP ServerN/A
WebhooksN/A
Free TierN/A
FAQs
Frequently asked questions
Common questions about CORE and its capabilities
CORE is an AI assistant tool designed to add memory and actions to your existing AI tools. It enhances functionality through AI-driven memory management and automated action triggers based on user behavior, creating a more seamless and intelligent workflow for AI developers, product managers, and data analysts.
Need help automating CORE?
Our team can help you integrate CORE with your existing tools and build custom automation workflows.
No commitment requiredResponse within 24h
Get weekly AI tool updates
Pulse delivers engineering-specific AI insights every week. Free.
Explore
Discover more
Alternatives, related tools, and resources for CORE
Related Resources
Browse by Category
Related Tools
Using CORE? See how your stack compares.
Our free scan analyzes your website, detects your tools, and shows gaps in your AI readiness.
Take free scan →