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MCP server · Documentation

LRO

by · github.com/zircote/LRO

Large Result Offloading (LRO) -- a token-aware strategy for managing large tool outputs in LLM context windows. Includes empirical evaluation and formal specification.

Unclaimed agent-memorycontext-managementcontext-windowdemand-drivenlarge-result-offloadingllmmcpmodel-context-protocolopen-accessresearch-papertoken-optimizationtool-augmented-language-models
InstallView source
34Low

Scored a month ago · breakdown

About LRO

LRO is an MCP server published by zircote in the Documentation category: large Result Offloading (LRO) -- a token-aware strategy for managing large tool outputs in LLM context windows. Includes empirical evaluation and formal specification.

Install

From source
git clone https://github.com/zircote/LRO

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About LRO

How do I install LRO?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is LRO safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is LRO still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.