Membase vs. Multilith Comparison


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About Membase is a unified AI memory layer platform designed to help AI agents and tools share and persist context so they “understand you” across sessions without forced repetition or isolated memory silos, enabling consistent conversational experiences and shared knowledge across AI assistants. It provides a secure, centralized memory layer that captures, stores, and syncs context, conversation history, and relevant knowledge across multiple AI agents and integrations with tools such as ChatGPT, Claude, Cursor, and others, so all connected agents can access a common context and avoid repeating user intents. Designed as a foundational memory service, it aims to maintain consistent context across your AI ecosystem, reducing friction and improving continuity in multi-tool workflows by keeping long-term context available and shared rather than locked within individual models or sessions, and letting users focus on outcomes instead of re-entering context for each agent request.	About Multilith gives AI coding tools a persistent memory so they understand your entire codebase, architecture decisions, and team conventions from the very first prompt. With a single configuration line, Multilith injects organizational context into every AI interaction using the Model Context Protocol. This eliminates repetitive explanations and ensures AI suggestions align with your actual stack, patterns, and constraints. Architectural decisions, historical refactors, and documented tradeoffs become permanent guardrails rather than forgotten notes. Multilith helps teams onboard faster, reduce mistakes, and maintain consistent code quality across contributors. It works seamlessly with popular AI coding tools while keeping your data secure and fully under your control.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience AI architects, and teams building multi-agent and context-aware AI systems who need a unified, persistent memory layer to sync conversation history and context across tools and agents	Audience Multilith is built for software teams and developers who rely on AI coding tools and want consistent, context-aware assistance that reflects their architecture, decisions, and team standards
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Membase Founded: 2025 United States membase.so/	Company Information Multilith www.multilith.ai/
Alternatives MemMachine MemVerge	Alternatives ByteRover
OpenMemory	Membase
Papr Papr.ai	Backboard
ByteRover	Papr Papr.ai
myNeutron Vanar Chain View All	Augment Code View All
Categories AI Memory Layers	Categories AI Coding Assistants AI Memory Layers

Integrations ChatGPT Claude Cursor Gemini Model Context Protocol (MCP) OpenAI Perplexity View All 6 Integrations	Integrations ChatGPT Claude Cursor Gemini Model Context Protocol (MCP) OpenAI Perplexity View All 1 Integration
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