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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.

About

condense.chat is an LLM input compression API and drop-in proxy that shrinks prompts, retrieved documents, tool outputs, and repeated agent context before they hit upstream models. Less context, same Claude Code; its harness intercepts an agent’s growing session history and passes it through compression models before it reaches the main model, helping long-running coding agents start each next turn with fewer tokens. Condense sits between an app and the upstream LLM provider, tracks the conversation as a content-addressed chain, and transparently compresses repeated context on the way upstream. Developers can point their SDK at the Condense provider route, add a Condense key, keep their existing provider key, and change nothing else. It supports Anthropic and OpenAI-compatible routes, plus pass-through behavior for other provider paths such as model lists and embeddings.

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

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

Audience

AI developer-tool teams building long-running coding agents that need to compress repeated context before sending requests to upstream LLM providers

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

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

OpenCompress
United States
www.opencompress.ai/

Company Information

condense.chat
United States
condense.chat/

Alternatives

Alternatives

No Alternatives
UPX

UPX

UPX Cybersecurity

Categories

Categories

Integrations

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

Integrations

Claude
Claude Code
OpenAI
Amazon SageMaker
Anthropic
ChatGPT
Cohere
DeepSeek
Gemini
Google Cloud Platform
Grok
Meta AI
MiniMax
Mistral AI
OpenCode
Qwen
Claim OpenCompress and update features and information
Claim OpenCompress and update features and information
Claim condense.chat and update features and information
Claim condense.chat and update features and information