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

Hybrid Context Optimizer — Shell Hook + MCP Server. Reduces LLM token consumption by 89-99%. Single Rust binary, zero dependencies.

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

The official repo for "LLoCo: Learning Long Contexts Offline"

Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)

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

Stop re-explaining your codebase to AI. Infinite speed memory + code graph for Claude Code & Codex CLI. 17 MCP tools, subagent protocol, hybrid search, TUI dashboard, crash recovery. Save 80-200K+ tokens/session.

State aware knowledge compression, ingestion, and hybrid retrieval engine. Zero dependencies. Sub-100ms queries.

Rolling context compression for Claude Code — never hit the context wall. Auto-compresses old messages while keeping recent context verbatim. Zero config, zero latency. Works as a Claude Code plugin.

⚡ Cut Claude token usage by 90%+ — free, open-source, local-first context compression for Claude Code. Hybrid RAG (BM25 + ONNX vectors), AST chunking, reranking. No API needed.

Biological code organization system with 1,029+ production-ready snippets - 95% token reduction for Claude/GPT with AI-powered discovery & offline packs

🌶️ OpenClaw skill that reduces token consumption by 30-60% through context compression and smart optimization

Awesome list of paper on vision-based context compression

Squeeze verbose LLM agent tool output down to only the relevant lines

LLM context compression proxy — 40-70% token savings, zero code changes

Local-first context compression for AI coding tools. One binary saves 85-93% of redundant tokens across every LLM call.

SYMB Session Intelligence | SYMB-Mem | context compression for Claude Code. All Data Is Important.

A production-grade LLM context compression and retrieval engine built entirely on the Python standard library. It solves the single biggest bottleneck in LLM agent effectiveness: context window waste.

MCP server that compresses text by removing unnecessary tokens using local LLM surprisal scoring

OpenClaw low-memory optimization guide for resource-constrained servers (2GB RAM)