PRODUCTIVITY/效率应用·COST

billion-context

ranxianglei/billion-context

稳定可用 A context-compression plugin for small context windows (a 100K context is enough), token savings (5x fewer tokens), and month-long single sessions (bill…

打开仓库Open repository

怎么装：Install: npm install -g billion-context --prefix=~/.local

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+47.5%+47.5%

480 → 708 stars · 7 个快照480 → 708 stars · 7 snapshots

状态STATUS

持续活跃Active

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

04 / 安装04 / Install

怎么装How to install

NPM

$

Node 用户的安装方式。The install route for Node users.

NPM

$

Node 用户的安装方式。The install route for Node users.

两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.

05 / 限制与风险05 / Limits and risk

限制与风险Limits and risk

风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/ranxianglei/billion-context
原始数据哈希Raw data hash: e9e1b197365f78c6f037a2acd5fc8edc
解析时间Parsed at: 2026-10-09T23:29:27.825Z
最后一次验证Last verified: 2026-10-09T22:11:00.411Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:token:repo:context-compression
分类来源Category source: rules
焦点Focus: token (11)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude-plugin/"
    },
    {
      "agent": "claude-desktop",
      "evidence": "readme: …own limitation (#2290):** the Claude Desktop app's Code tab (`CLAUDE_CODE_…"
    },
    {
      "agent": "codex",
      "evidence": "readme: …; <a href=\"https://github.com/openai/codex\" title=\"Codex\"><picture><sour…"
    },
    {
      "agent": "gemini-cli",
      "evidence": "readme: …ps://github.com/google-gemini/gemini-cli\" title=\"Gemini CLI\"><img src=…"
    },
    {
      "agent": "opencode",
      "evidence": "readme: …e></a>&nbsp; <a href=\"https://opencode.ai\" title=\"OpenCode\"><picture…"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …om/github/copilot-cli\" title=\"GitHub Copilot CLI\"><picture><source media=\"…"
    },
    {
      "agent": "zed",
      "evidence": "readme: …ush.json (#2340) | | **zed** (Zed editor) | `bili zed` (launcher, cert…"
    }
  ],
  "apiKey": "_providers` block would force API-key auth and drop subscription login), and",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 0,
      "dev-tools": 1,
      "indie-web": 0,
      "skill-agent": 0,
      "productivity": 2
    },
    "primary": "productivity",
    "secondary": "cost"
  },
  "localRuntime": "ngs.json; loopback providers (ollama/lmstudio) stay direct via NO_PROXY (#23",
  "skillMdTotal": 0,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 0,
    "design": 1,
    "browser": 0,
    "devtool": 1,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "Claude Code plugin manifest",
      "weight": 0.7
    }
  ],
  "scannedSources": [
    "readme"
  ],
  "skillMdFetched": 0
}