LMCache

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LMCache is an open-source Knowledge Delivery Network (KDN) that accelerates LLM applications by optimizing data storage and retrieval.0
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What is LMCache?

LMCache is the first open-source Knowledge Delivery Network (KDN) designed to supercharge your AI applications. By optimizing how large language models (LLMs) process and retrieve data, LMCache delivers responses up to 8x fasterwhile reducing costs by 8x. Whether you're building AI chatbots, enterprise search engines, or document processing tools, LMCache ensures your applications run smoother, faster, and more efficiently.

Key Features

Prompt Caching
Store and retrieve long conversational histories instantly, enabling seamless interactions with AI chatbots and document processing tools. No more waiting for slow responses—LMCache ensures your AI delivers answers 8-10x faster.

Fast RAG (Retrieval-Augmented Generation)
Dynamically combine stored key-value (KV) caches from multiple text chunks to accelerate RAG queries. Perfect for enterprise search engines and AI-based document processing, LMCache boosts response speeds by 4-10x.

Scalability Without the Hassle
LMCache scales effortlessly, eliminating the need for complex GPU request routing. Whether you're handling a small project or a large-scale enterprise application, LMCache grows with your needs.

Cost Efficiency
With innovative compression techniques, LMCache reduces the cost of storing and delivering KV caches, making high-performance AI more accessible than ever.

Cross-Platform Integration
Seamlessly integrate LMCache with popular LLM serving engines like vLLM and TGI, ensuring compatibility and ease of use across platforms.

Real-World Use Cases

  1. AI Chatbots
    Enable faster, uninterrupted conversations by caching long chat histories. LMCache ensures your chatbot responds in real time, improving user satisfaction and engagement.

  2. Enterprise Search Engines
    Speed up document retrieval and processing with LMCache's Fast RAG capabilities. Find and deliver relevant information 4-10x faster, enhancing productivity and decision-making.

  3. Research and Development
    Researchers and developers can leverage LMCache to optimize LLM serving, reducing prefill delays and GPU cycles. This translates to faster experimentation and lower costs for AI projects.

Why Choose LMCache?

  • Speed:Minimize latency with unique streaming and decompression methods.

  • Cost Savings:Reduce storage and delivery costs with advanced compression techniques.

  • Quality:Enhance LLM inferences through offline content upgrades and reusable KV caches.

  • Open-Source Freedom:Benefit from a transparent, community-driven solution that evolves with your needs.

Get Started Today

Ready to accelerate your AI applications? Explore the code, try the demo, or calculate your KV size with our easy-to-use tools. Join the growing community of developers and enterprises leveraging LMCache to build smarter, faster, and more cost-effective AI solutions.


More information on LMCache

Launched
2024-10
Pricing Model
Free
Starting Price
Global Rank
475554
Follow
Month Visit
59.8K
Tech used
Google Analytics,Google Tag Manager,cdnjs,Cloudflare CDN,Fastly,Google Fonts,GitHub Pages,Gzip,HTTP/3,Varnish

Top 5 Countries

31.32%
26.42%
12.18%
6.77%
5.78%
China United States India Hong Kong Korea, Republic of

Traffic Sources

6.12%
0.99%
0.14%
13.7%
27.62%
51.36%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 25, 2025)
LMCache was manually vetted by our editorial team and was first featured on 2025-02-01.
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  3. Supermemory gives your LLMs long-term memory. Instead of stateless text generation, they recall the right facts from your files, chats, and tools, so responses stay consistent, contextual, and personal.

  4. LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. The app leverages your GPU when possible.

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