工具说明为英文。

令牌效率

降低令牌成本并压缩上下文的工具。

用途

活跃度

排序方式

96

工具排名

按实测增长排序,并在不同来源间归一化。 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。

  1. 1

    MCP
    活跃

    MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.

    mcp实测增长打开来源 ↗

    安装 claude mcp add llmtrim -- npx @llmtrim/cli

    222GitHub 星标稳定
  2. 2
    未知最近提交:暂无数据

    AI agent token-cost telemetry + 429 prediction. Per-agent attribution, anomaly + routing + quota.

    mcp实测增长打开来源 ↗

    安装 claude mcp add openclaw-cost-tracker-mcp -- uvx openclaw-cost-tracker-mcp

    1297 天下载量稳定
  3. 3
    活跃

    Reduces AI agent token usage by 90% via context compression and task checkpoint persistence.

    mcp实测增长打开来源 ↗

    安装 claude mcp add smart-context-mcp -- npx smart-context-mcp

    4GitHub 星标稳定
  4. 4
    休眠

    Save tokens while coding — your AI agent gets structured code context, not file dumps.

    mcp实测增长打开来源 ↗

    安装 claude mcp add codeweave -- npx @codeweave/mcp

    4GitHub 星标稳定
  5. 5
    休眠

    Analyze your MCP setup: token costs, grades, duplicates, and optimization tips

    mcp实测增长打开来源 ↗

    安装 claude mcp add mcp-checkup -- npx mcp-checkup

    1GitHub 星标稳定
  6. 6
    活跃

    Cut AI agent token costs 5-15x — routes only relevant code symbols instead of full files.

    mcp实测增长打开来源 ↗

    安装 claude mcp add agent-booster -- uvx agent-booster

    1GitHub 星标稳定
  7. 7
    活跃

    Cut vision-LLM token costs by snapping images to tile boundaries — Claude, GPT, Gemini, Llama, Qwen

    mcp实测增长打开来源 ↗

    安装 claude mcp add vision-squeezer -- npx vision-squeezer

    2GitHub 星标稳定
  8. 8
    活跃

    Token cost math for LLM API calls: verified per-1M-token rates for 69 models, 17 providers.

    mcp实测增长打开来源 ↗

    安装 claude mcp add comparedge-llm-cost -- npx @comparedge/llm-cost-mcp

    2GitHub 星标稳定
  9. 9
    活跃

    Review and compact prompts, docs, and AI-agent skills to save tokens, preserving structure.

    mcp实测增长打开来源 ↗

    安装 claude mcp add compactprompt -- uvx compactprompt

    0GitHub 星标稳定
  10. 10
    活跃

    MCP server that cuts AI coding agent token usage via framework-aware context optimization

    mcp实测增长打开来源 ↗

    安装 claude mcp add ai-optimizer -- npx @ai-optimizer/core

    0GitHub 星标稳定
  11. 11
    活跃

    Reversible context compression for AI agents: cut token usage up to 94%, originals retrievable

    mcp实测增长打开来源 ↗

    安装 claude mcp add token_optimizer -- uvx slimctx

    1GitHub 星标稳定
  12. 12

    CLI
    活跃

    CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

    github实测增长打开来源 ↗

    78 476GitHub 星标+725 (+0.93 %)
  13. 13

    MCP
    活跃

    Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

    github实测增长打开来源 ↗

    68 835GitHub 星标+901 (+1.3 %)
  14. 14

    其他
    休眠

    Agent-to-Agent coordination that doesn't waste your context window. Token-efficient protocol with progressive discovery, zero-schema invocation, gRPC transport, and task lifecycle management.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  15. 15

    智能体
    活跃

    Control plane for AI coding agents: route tasks, reduce token spend, run multi-agent workflows, fallback executors, and track cost per task.

    github实测增长打开来源 ↗

    16GitHub 星标稳定
  16. 16
    活跃

    Statically audits MCP tool surfaces for token cost, schema quality, and design issues.

    mcp实测增长打开来源 ↗

    需在 MCP 配置中声明的远程服务器 https://mcplint-web.vercel.app/api/mcp

    0GitHub 星标稳定
  17. 17

    技能
    活跃

    Lossless context compression plugin for Claude Code & OpenCode.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add aerovato/magic-compact

    147GitHub 星标+4 (+2.8 %)
  18. 18
    活跃

    Measure and shrink the token cost of Claude Code skills, tier by tier: the always-on system-prompt tax, the per-invocation body, and on-demand references, each priced at the rate it is actually billed.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  19. 19
    休眠

    SpiderBrain v3 is a multi-platform skill/framework to reduce token usage and AI hallucinations across Claude, Cursor, and other AI tools.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/abhishek-performdigital/Spiderbrain-V3 ~/.claude/skills/Spiderbrain-V3

    65GitHub 星标稳定
  20. 20

    技能
    活跃

    Freeze Claude Code's prompt prefix so DeepSeek's automatic cache always hits — alignment proxy + coalescing + keepalive, installable as a CC plugin. Measured 64% cheaper on real Claude Code traffic.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add jianzhichun/permafrost

    21GitHub 星标稳定
  21. 21
    活跃

    Usage-aware status line for Claude Code: session & weekly rate-limit gauges with reset countdowns and a precise context-window meter, plus tokens, git & weather. Template-driven and extensible — set it up by chatting with Claude or via a…

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  22. 22
    活跃

    Context compression plugin for Claude Code. Automatically trims large tool output—JSON, YAML, stack traces, and logs—before it enters the context window.

    github实测增长打开来源 ↗

    65GitHub 星标+1 (+1.6 %)
  23. 23

    技能
    活跃

    Local-first memory and prompt-cache layer for Claude Code

    github实测增长打开来源 ↗

    安装 /plugin marketplace add riz007/somtum

    7GitHub 星标稳定
  24. 24

    技能
    休眠

    Drop-in Cursor rules to cut AI response tokens (no filler/hedging, preserve code + technical strings). Includes local, reproducible benchmarks.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/marcomondelli/bonsai ~/.claude/skills/bonsai

    0GitHub 星标稳定

无公开指标的条目

混合排名:实测增长优先。 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。

  1. 1
    未知最近提交:暂无数据

    Semantic context compression and cognitive memory layer for LLM swarms.

    mcp指标未公开打开来源 ↗

    需在 MCP 配置中声明的远程服务器 https://recallmax-mcp.vercel.app/api/mcp

    无公开指标