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About

LMCache is an open source Knowledge Delivery Network (KDN) designed as a caching layer for large language model serving that accelerates inference by reusing KV (key-value) caches across repeated or overlapping computations. It enables fast prompt caching, allowing LLMs to “prefill” recurring text only once and then reuse those stored KV caches, even in non-prefix positions, across multiple serving instances. This approach reduces time to first token, saves GPU cycles, and increases throughput in scenarios such as multi-round question answering or retrieval augmented generation. LMCache supports KV cache offloading (moving cache from GPU to CPU or disk), cache sharing across instances, and disaggregated prefill, which separates the prefill and decoding phases for resource efficiency. It is compatible with inference engines like vLLM and TGI and supports compressed storage, blending techniques to merge caches, and multiple backend storage options.

About

OpenCompress is an open source AI optimization layer designed to reduce the cost, latency, and token usage of large language model interactions by compressing both input prompts and generated outputs without significantly affecting quality. It works as a drop-in middleware that sits in front of any LLM provider, allowing developers to use models like GPT, Claude, Gemini, and others while automatically optimizing every request behind the scenes. It focuses on reducing token waste through a multi-stage pipeline that includes techniques such as code minification, dictionary aliasing, and structured compression of repeated content, enabling more efficient use of context windows and lowering computational overhead. It is model-agnostic and integrates seamlessly with any provider that supports an OpenAI-compatible API, meaning developers can adopt it without changing their existing workflows or infrastructure.

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 engineers and infrastructure teams looking for a tool to lower latency, reduce compute cost, and scale throughput

Audience

Developers and AI teams who want to reduce LLM costs and latency by automatically compressing prompts and responses without changing their existing workflows

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

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
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

LMCache
United States
lmcache.ai/

Company Information

OpenCompress
United States
www.opencompress.ai/

Alternatives

Alternatives

DeepSeek-V2

DeepSeek-V2

DeepSeek
PrimoCache

PrimoCache

Romex Software
UPX

UPX

UPX Cybersecurity

Categories

Categories

Integrations

Amazon SageMaker
Claude
Claude Code
Cohere
DeepSeek
Gemini
Google Cloud Platform
Grok
Meta AI
MiniMax
Mistral AI
OpenAI
Qwen

Integrations

Amazon SageMaker
Claude
Claude Code
Cohere
DeepSeek
Gemini
Google Cloud Platform
Grok
Meta AI
MiniMax
Mistral AI
OpenAI
Qwen
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