Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python. Up to 200X Cost Saving!
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Updated
Aug 17, 2026 - TypeScript
Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python. Up to 200X Cost Saving!
Token-efficient MCP CLI client. 97% less tokens on tool discovery, 40-60% on results. Zero deps. Cross-platform. Works with every AI agent.
Free-first Chinese and English web search MCP using zero-key sources and inspectable evidence.
NTK — 基于信息密度路由的多智能体框架。用最少的 token 做最多的事。
OpenCode agent configuration — a read-only orchestrator delegates to 6 specialized subagents. Expert model plans, fast models execute. Isolated contexts, minimal permissions, adversarial verification built in. Ready to drop in.
Token-efficient CLI for Atlassian Server/DC (Jira, Confluence, Bitbucket) — drop-in alternative to mcp-atlassian for LLM agents. Compact output, lossless XHTML<->Markdown round-trip, Claude Code + Codex + GitHub Copilot integration.
Code intelligence for agents: find the code that matters and keep your context window and tokens lean.
AI model that animates any SVG into Lottie with 3-4x fewer tokens than OmniLottie (CVPR 2026). Upload SVG → get animated .lottie. 3B model, runs on 5GB VRAM.
苹果 MCP 工具 ✅
ISONGraph is a multi-language property graph library designed specifically for LLM and AI applications. It provides the most token-efficient way to represent graph data in LLM context windows while maintaining high accuracy for graph-based reasoning tasks.
Token-efficient Windows file discovery for Codex and AI agents using voidtools Everything (es.exe)
让 Agent 高效又守纪律 — 不止省 token:ZeroToken 压缩无效上下文/推理/输出;尉缭子十原则约束权限边界、单一指令、先谋后动、验证先于结束;附 Unicode 编码规范、搜索规范、六种任务模式。More than token savings: ZeroToken efficiency + AI coding discipline for Reasonix / Codex / OpenCode / Hermes
Token-efficient codebase maps for AI IDEs. Parses Python, TypeScript & more with tree-sitter, builds a ranked dependency graph, and exposes it via MCP to Cursor, VS Code, and Claude Desktop.
让 Codex 秒级、低 token、安全地读写 macOS 微信 | Fast, token-efficient WeChat bridge for Codex
Token-efficient stochastic testing for AI agents. 5-20x cost reduction. 10 framework adapters. Paper: arXiv:2603.02601
AI系统结构化因果逻辑框架——可审计、可追溯的推理,无需替换现有模型。守真·稳态(KISS's Law)。极省Token,与黑箱共存。
A lightweight, vendor-neutral AI memory tool for human–AI collaboration that turns a clear, shared vision into deterministic delivery with near-zero drift.
Token-efficient CLI output formatting for LLM agents
LONTAR (Layered Orchestration of Narrow-context Templated Agents & RAG). A token-efficient, multi-persona AI agent methodology for Claude Code: specialized experts (architect, backend, frontend, UI/UX, QA, DevOps), chunked knowledge, and reusable templates. Inspired by Indonesian palm-leaf manuscripts.
AI agent-optimized browser CLI — snap + act. Extreme token efficiency for LLM-driven browser automation.
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