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Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 15 platforms

Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.

TurboQuant: Near-optimal KV cache quantization for LLM inference (3-bit keys, 2-bit values) with Triton kernels + vLLM integration

Lossless Claw — LCM (Lossless Context Management) plugin for OpenClaw

The Context OS for AI Development. Reduce token waste in Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini & more by 60–95% (up to 99% on cached reads) Shell Hook + MCP Server · 49 tools · 10 read modes · 90+ patterns · Single Rust binary

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

Context Limiter & Output Vetter for context bloat. It is a highly specialized, structure-aware JSON built specifically to intercept and compress MCP responses before they annihilate your LLM's context window.

OCTAVE protocol - structured AI communication with 3-20x token reduction. MCP server with lenient-to-canonical pipeline and schema validation.

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.

Open-source context engine that catches AI hallucinations and cuts your token bill 70–95%. The only AI helper that shows its work. Claude · Cursor · Copilot · Codex,GPT & Custom Providers

One of the ground zero for AGI, maybe, probably. Free and Open Source forever and ever!

Universal MCP Gateway - Single-port multiplexing with Meta-MCP for ~95% context token savings

Portable CC-inspired skills for memory, verification, multi-agent coordination, context compression, and proactive coding-agent workflows.

First MCP server for data compression. 60x compression on docs, 30x on SQL, 20x on logs. Zero dependencies. Lossless. Auto-picks best algorithm. 7 tools for any AI agent.

MCP server for LLM quantization. Compress any model to GGUF/GPTQ/AWQ in one tool call. First MCP server for model compression.

Calendar MCP server with atomic booking, conflict prevention, deterministic RRULE expansion, and TOON token compression for AI agents

🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎

Magic Context cache-aware infinite context, cross-session memory, and background history compression

Distributed KV cache scheduling & offloading libraries

🦞 LobsterPress（龙虾饼） - Cognitive Memory System for AI Agents 基于认知科学的 LLM 永久记忆引擎

17 MCP query tools for codebase navigation — functions, classes, imports, dependency graphs, change impact. Zero dependencies. 87% token reduction.

Quickly reads webpages and converts to markdown for fast, token efficient web scraping

Compress input tokens, save time and money