AI TOOLS/AI 工具·CHAT-AGENT

graymatter

angelnicolasc/graymatter

30 sec to give your AI agents persistent memory.

打开仓库Open repository 官网Homepage

怎么装：Install: go install github.com/angelnicolasc/graymatter/cmd/graymatter@latest

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

+0.4%+0.4%

478 → 480 stars · 7 个快照478 → 480 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

$

README 里给出的安装方式。The installation method given in the README.

CLAUDE-MCP

$

README 里给出的安装方式。The installation method given in the README.

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

需检查Needs review

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/angelnicolasc/graymatter
原始数据哈希Raw data hash: 555cbc3608898762e2f863a1c6b48ae1
解析时间Parsed at: 2026-10-09T23:31:44.181Z
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:reduce-tokens
分类来源Category source: rules
焦点Focus: token (7)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "install: claude CLI command"
    },
    {
      "agent": "cursor",
      "evidence": "readme: …json` | project | | Cursor | `.cursor/mcp.json` | project | | Codex (OpenAI)…"
    },
    {
      "agent": "windsurf",
      "evidence": "readme: …mcp_config.json` | opt-in | | Windsurf | `.windsurf/mcp.json` | proj…"
    },
    {
      "agent": "cline",
      "evidence": "readme: …s `.mcp.json` natively), Zed, Cline, and any MCP-compatible clien…"
    },
    {
      "agent": "vscode",
      "evidence": "readme: …dsurf/mcp.json` | project | | VS Code Copilot Agent | `.vscode/mcp.…"
    },
    {
      "agent": "opencode",
      "evidence": "readme: …h Claude Code, Cursor, Codex, OpenCode, Antigravity — and any MCP-co…"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …p.json` | project | | VS Code Copilot Agent | `.vscode/mcp.json` | projec…"
    }
  ],
  "apiKey": "model available | | OpenAI | `OPENAI_API_KEY` set | | Voyage AI | `VOYAGE_API_KEY` s",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 4,
      "dev-tools": 4,
      "indie-web": 0,
      "skill-agent": 10,
      "productivity": 1
    },
    "primary": "ai-tools",
    "secondary": "chat-agent"
  },
  "localRuntime": "hain.md) | Embeddings degrade Ollama → OpenAI → Anthropic → keyword | | [006",
  "skillMdTotal": 0,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 1,
    "agent": 0,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 1,
    "security": 0,
    "marketing": 0,
    "productivity": 1
  },
  "classification": [
    {
      "signal": "server.json (MCP registry manifest)",
      "weight": 0.85
    },
    {
      "signal": "MCP topic + README",
      "weight": 0.6
    },
    {
      "signal": ".mcp.json (configures servers it uses)",
      "weight": 0.3
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme"
  ],
  "skillMdFetched": 0
}