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licenseA
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maintenanceProvides AI chat history compression tools through token-based trimming and AI-powered summarization strategies to manage conversation context within token limits.
Last updated
2
21
5
MIT
Why this server?
Provides AI chat history compression tools through token-based trimming and AI-powered summarization to manage context within token limits.
Why this server?
Enables 70-90% LLM API cost reduction by compressing conversation history via local models or heuristics, with token counting and pinned facts.
Alicense-qualityCmaintenanceEnables 70-90% LLM API cost reduction by compressing conversation history via local Gemma 4 models or heuristics, featuring token counting, model routing, and pinned facts for preserving critical context.Last updated1MITWhy this server?
Offers context optimization tools including targeted file analysis and intelligent command execution to reduce token usage by extracting only relevant information.
AlicenseAqualityCmaintenanceProvides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.Last updated53657TypeScriptMITWhy this server?
Semantic search with 98% token reduction for AI assistants.
Why this server?
An adaptive tiny-model layer that compresses verbose tool outputs to reduce token usage by up to two orders of magnitude.
Alicense-qualityCmaintenanceAn adaptive tiny-model layer that sits between an LLM and its MCP tools, compressing verbose tool outputs to reduce token usage by up to two orders of magnitude.Last updated1Apache 2.0Why this server?
Compresses long text, local files, and MCP catalog descriptions into denser context to reduce token usage without turning input into a summary.
Alicense-qualityBmaintenanceContextCrumb compresses long text, local files, and MCP catalog descriptions into denser context for LLM agents. It helps agents load more useful information into the context window and reduce token usage without turning the input into a summary.Last updated1Apache 2.0Why this server?
Provides intelligent code context and analysis through semantic compression, offering 60-80% token reduction while enabling code understanding.
AlicenseAqualityCmaintenanceProvides intelligent code context and analysis through semantic compression, AST parsing, and multi-language support. Offers 60-80% token reduction while enabling AI assistants to understand codebases through local analysis, OpenAI-enhanced insights, and GitHub repository integration.Last updated6153MITWhy this server?
Enables efficient AI agent operations through sandboxed code execution with up to 98.7% token reduction by processing data outside context.
Flicense-qualityBmaintenanceEnables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.Last updatedWhy this server?
Supercharges agents with semantic code intelligence to save tokens and reduce costs.
Alicense-qualityAmaintenanceSupercharge your Agent with Semantic Code Intelligence and save 💰 in the process!Last updated145MIT