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Description
MemPalace is a storage and retrieval system that prioritizes local-first principles for AI workflows, ensuring that users retain control over their conversations while providing AI with a form of memory. Instead of summarizing dialogues, it stores them in their entirety and organizes this information into a navigable "palace" structure, drawing inspiration from the classical memory palace method. Users can categorize conversations into designated wings based on individuals, projects, or themes, while utilizing rooms and drawers to facilitate easy access and retrieval of information. This system is tailored for those who value ownership of their words, featuring local-first storage, no telemetry, and a strong emphasis on privacy by keeping all memory on the user's device. Additionally, MemPalace enhances AI functionalities through MCP tooling, which includes features for reading and writing within the palace, performing knowledge-graph operations, navigating across wings, managing drawers, and maintaining agent diaries. Ultimately, MemPalace serves as a bridge between user agency and AI memory, creating a seamless experience that respects personal privacy.
Description
NeuralWing serves as a cutting-edge model for real-time neural simulation and design optimization specifically tailored for transonic aircraft aerodynamics. It leverages the most comprehensive 3D transonic wing dataset, derived from 30,000 steady-state CFD simulations that span a 3D wing operating within the transonic regime, incorporating variations in four distinct geometry parameters and two different inflow conditions. By utilizing Emmi’s AB-UPT surrogate model, which has been meticulously trained on this extensive dataset, NeuralWing empowers users to effortlessly alter wing geometries, conduct optimizations, and enhance aerodynamic efficiency within mere seconds. The model is designed to facilitate transonic 3D wing simulations, accommodating variations in geometry and inflow, while offering real-time inference and optimization of design parameters. Users input a geometry mesh in STL format along with speed and angle of attack, and in return, they receive outputs that include pressure, friction, velocity fields, and integral forces such as lift and drag. Geometry meshes are generated dynamically in response to four design parameters, employing a differentiable approach that allows for swift assessment of design modifications. Furthermore, NeuralWing boasts an impressive accuracy rate of 99.5%, making it an invaluable tool for aerodynamics research and development. This level of precision ensures that engineers can trust the results as they iterate on their designs.
API Access
Has API
API Access
Has API
Integrations
Aider
Antigravity CLI
Claude
Claude Code
Claude Desktop
Codex CLI
Cursor
Factory Droid
Gemini CLI
GitHub Copilot CLI
Integrations
Aider
Antigravity CLI
Claude
Claude Code
Claude Desktop
Codex CLI
Cursor
Factory Droid
Gemini CLI
GitHub Copilot CLI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
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
MemPalace
Country
United States
Website
mempalaceofficial.com
Vendor Details
Company Name
Emmi AI
Country
Austria
Website
www.emmi.ai/models/neuralwing
Product Features
Product Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering