Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Shared local memory for coding agents: SQLite, semantic recall, linked entities, code navigation.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"graphmem": {
"command": "npx",
"args": [
"-y",
"@sonic182/graphmem",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add graphmem -- npx -y @sonic182/graphmem mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"graphmem": {
"command": "npx",
"args": [
"-y",
"@sonic182/graphmem",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"graphmem": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@sonic182/graphmem",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 sonic182 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.13.0)于16天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Shared, local memory for coding agents. Keep project decisions across sessions and tools with SQLite storage, local semantic search, and linked entities. Claude Code, Codex, OpenCode, pi, and other MCP clients can share the same store.
Optional code tools find definitions, outline files, list imports, and compare symbols between Git revisions.
npm install --global @sonic182/graphmem
gmem-install gmem version
The npm package contains launchers. gmem-install explicitly downloads and verifies the matching CPU binary, or reuses a working native gmem on your PATH. Package installation itself downloads no binary. After upgrading the package, run gmem-install again; separately installed binaries are not replaced.
MCP clients that launch servers with npx can run npx -y @sonic182/graphmem mcp. The graphmem command downloads and verifies the binary on its first run; gmem never downloads anything on its own.
Alternatively, download your platform's archive from GitHub Releases, verify it against SHA256SUMS, and put the extracted executable on your PATH. Linux releases require glibc 2.39 and OpenSSL 3. For other systems or CUDA, build from source.
Plugins include MCP registration, skills, and guidance to recall context before work and save durable decisions afterward.
| Agent | Install |
|---|---|
| Claude Code | claude plugin marketplace add sonic182/graphmem, then claude plugin install graphmem@graphmem |
| Codex | codex plugin marketplace add sonic182/graphmem, then codex plugin add graphmem@graphmem |
| OpenCode | opencode plugin @sonic182/graphmem --global |
| pi | pi install npm:@sonic182/graphmem |
Claude Code and Codex need gmem and Node.js on PATH. In Codex, trust the Graphmem hooks in /hooks and start a new thread. Pi offers binary setup on first startup; OpenCode prints an installer command if needed.
See plugin setup and troubleshooting.
For another MCP client, configure it to launch your installed binary:
{
"mcpServers": { "graphmem": { "command": "/absolute/path/to/gmem", "args": ["mcp"] } } }
gmem remember "Use nextest for integration tests" \
--type convention --scope repo:/absolute/path/to/project gmem search "integration tests" gmem tokens --over-limit # memories the embedding model truncates gmem tui gmem mcp
Memories default to the current Git repository; git must be on PATH. Outside a repository, the default scope is global. Reads always include global memories; explicitly select other projects with --scope (CLI) or scopes (MCP). Writes are limited to the current repository and global, including updates and deletions. The MCP list_scopes tool discovers scopes and their write permissions; list pages through the memories of a selection. Data lives in ~/.graphmem; set GRAPHMEM_HOME to use another directory.
CLI reference · MCP tool reference
Release binaries include these tools; source builds need --features code.
| MCP tool | Purpose |
|---|---|
find_symbol | Find a definition and its source range |
code_outline | List a file's definitions and nesting |
code_imports | List declared imports |
code_diff | Compare symbols between Git revisions |
gmem code find CodeService
gmem code outline src/application/code.rs gmem code imports src/application/code.rs gmem code diff origin/master
These tools work on Git checkouts without an embedding model. They index definitions, not call sites or references; use ast-grep for those. Set GRAPHMEM_CODE=off to disable code tools.
Options and supported languages · Benchmark results and limitations
No config file is required. To customize embeddings, retrieval, or code indexing, create ~/.graphmem/config.toml. See the configuration reference.
See source builds and CUDA setup.
just verify
Runs formatting checks, compilation, Clippy, and tests. Design · Schema evolution
To preview the documentation site, run hugo server --source site. See site setup.
MIT.