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What is Multilith?

Multilith is a persistent memory system designed to make AI coding tools context-aware at an organizational level. It ensures your AI understands not just the code, but the reasoning behind it—why decisions were made, which patterns are enforced, and how the system evolved over time. With a single configuration update, Multilith injects this collective knowledge into every AI interaction using the Model Context Protocol. AI assistants automatically reference architectural decisions, prior refactors, and shared conventions when generating or reviewing code. This prevents suggestions that conflict with your standards and helps enforce best practices consistently across the team. New developers benefit from instant access to institutional knowledge without digging through outdated documentation. Multilith turns decisions into enforceable guardrails rather than optional guidelines. It integrates with leading AI coding environments while maintaining strict data privacy and security controls. Teams can deploy Multilith in the cloud or self-hosted environments depending on their needs. By giving AI a long-term memory, Multilith transforms AI-assisted development into a reliable, team-aware experience.

What is EverMemOS?

EverMemOS represents a groundbreaking advancement in memory-operating systems, aimed at equipping AI agents with a deep and ongoing long-term memory that enhances their comprehension, reasoning, and development throughout their lifecycle. In stark contrast to traditional “stateless” AI platforms that are prone to losing track of past interactions, this system integrates sophisticated methods like layered memory extraction, structured knowledge organization, and adaptive retrieval strategies to weave together coherent narratives from diverse exchanges. This proficiency permits the AI to dynamically reference prior conversations, individual user histories, and accumulated data. On the LoCoMo benchmark, EverMemOS demonstrated an exceptional reasoning accuracy of 92.3%, outpacing competing memory-augmented systems. Central to its functionality is the EverMemModel, which boosts long-context understanding by leveraging the model’s KV cache, thereby facilitating a comprehensive training process instead of relying merely on retrieval-augmented generation. This state-of-the-art methodology significantly enhances the AI's capabilities while simultaneously allowing it to evolve in response to the changing requirements of its users over time. As a result, EverMemOS not only streamlines user interaction but also fosters a more personalized experience for each individual user.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Tanka

Integrations Supported

Model Context Protocol (MCP)
Tanka

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Multilith

Company Website

www.multilith.ai/

Company Facts

Organization Name

EverMind

Company Location

United States

Company Website

everm.ai/

Categories and Features

Categories and Features

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