token-savings

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

Universal AI context generator. Saves thousands of tokens per conversation in Claude Code, Cursor, Copilot, Codex, and more.

lowfat - slim your command output. strips noise, saves tokens.

Save tokens. Maximize context, Safely

Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

Understand, analyze, and govern software systems across repositories, languages, and technologies.

Framework-aware code intelligence MCP server — 88 framework integrations, 81 languages, 72.7% fewer input tokens to review a pull request, comprehension at parity

Token-saving companion for OpenCode — 42 compression layers, zero risk, no caveman speak

MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, Groq, Cerebras.

Turn any OpenAPI spec into a native CLI binary. No MCP, no bloat, no runtime dependencies, ONLY CLI.

MCP server for Git with local Ollama — zero tokens for git operations

Local-first Model Context Protocol (MCP) memory layer for Codex CLI/Desktop, Claude Code, Gemini CLI, Qwen/DeepSeek/Ollama and agent workflows. SQLite + FTS5 compact context packs, token savings, read-only mode, no external memory server.

Packs text files into small images that an AI model reads for about half the input tokens. Includes a Claude Code plugin, a right-click tool and an HTML app.

Guardian Agent and Token Savings for Claude Code

🔥 Save up to 96% cost — more than Caveman (65%) or RTK (80%). AI coding agent: chat, map, edit, multi-agent. Single Rust binary.

TSCG - Deterministic tool-schema compilation for LLM agents, including text-mode tool use without native tool calling and context-budget RAG. Research: arXiv:2605.04107 and 2605.26165. TypeScript, MIT.

A reversible code minifier for AI. Save tokens by stripping code format in your prompt, then perfectly restore it in the responces.

Caveman output style for Claude Code: 40% fewer output tokens, always-on formatting

Auditable context capsules for LLM handoffs, coding agents, and OpenCode MCP workflows.