CLI tool for pruning AI agent tool context.
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CLI tool for pruning AI agent tool context. Key strengths include sub-2ms response time, context pruning for ai agents, go cli implementation. Security: Published posture.
Tokencompress is a Go CLI and MCP sidecar designed to prune the context of AI agent tools. It aims to optimize performance with a sub-2ms response time. The tool is open source and can be utilized by developers looking to enhance the efficiency of AI agents. It is available for free and has garnered attention on platforms like Hacker News.
Published posture scored 12/20 or above. We check HTTPS, a reachable privacy policy, and stated compliance commitments. We do not perform security testing.
Last assessed: 22 August 2026
Each scored criterion links to the published page it was derived from. Unscored criteria are marked, not guessed. This listing has not been hands-on tested.
Functionality & Features
No citable published evidence in this pass.
Ease of Use
Requires hands-on use of the product.
Pricing & Value
No citable published evidence in this pass.
Reliability & Performance
Requires hands-on use of the product.
Integration Capabilities
No citable published evidence in this pass.
Customer Support
No citable published evidence in this pass.
Startup-Friendliness
No citable published evidence in this pass.
CLI tool for pruning AI agent tool context. Key capabilities: Sub-2ms response time; Context pruning for AI agents; Go CLI implementation. Commonly used for Optimize AI agent performance, Reduce context size for AI tools, Integrate with existing AI systems.
Tokencompress A sub-2ms Go CLI and MCP sidecar that prunes AI agent tool context is a paid tool.
Tokencompress A sub-2ms Go CLI and MCP sidecar that prunes AI agent tool context has a published security posture scoring 12/20 or above (HTTPS, a reachable privacy policy, and/or stated compliance commitments). We do not perform security testing.
Tokencompress A sub-2ms Go CLI and MCP sidecar that prunes AI agent tool context has not yet been rated on our 10-point evaluation framework. See How We Rate for the 10-criterion framework and status definitions.
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