Context-Gateway
An open-source context gateway for AI applications that manages and compresses context to optimize LLM token usage and reduce costs.
At a Glance
Pricing
Fully open-source and free to self-host with no restrictions.
Engagement
Available On
Listed Mar 2026
About Context-Gateway
Context-Gateway is an open-source tool by Compresr-ai that acts as a middleware layer for AI applications, managing and compressing context passed to large language models (LLMs). It helps developers reduce token consumption, lower API costs, and improve response quality by intelligently filtering and compressing context before it reaches the model. The project is hosted on GitHub and is designed for developers building LLM-powered applications who need fine-grained control over context windows.
- Context Compression: Automatically compresses and filters context to reduce token usage before sending requests to LLMs.
- Token Optimization: Helps minimize API costs by trimming unnecessary or redundant context from prompts.
- Open-Source: Freely available on GitHub under the Compresr-ai organization, allowing community contributions and self-hosting.
- Gateway Architecture: Acts as a proxy/middleware layer between your application and LLM APIs, making integration straightforward.
- Developer-Friendly: Designed for developers building AI applications who need programmatic control over context management.
To get started, clone the repository from GitHub, follow the setup instructions in the README, and configure the gateway to sit between your application and your LLM provider of choice.
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Pricing
Open Source
Fully open-source and free to self-host with no restrictions.
- Context compression
- Token optimization
- Self-hosting
- Community support
- Full source code access
Capabilities
Key Features
- Context compression
- Token optimization
- LLM middleware/gateway
- Open-source self-hosting
- Context window management
- API cost reduction
