Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Shared local memory for coding agents: SQLite, semantic recall, linked entities, code navigation.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"graphmem": {
"command": "npx",
"args": [
"-y",
"@sonic182/graphmem",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add graphmem -- npx -y @sonic182/graphmem mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"graphmem": {
"command": "npx",
"args": [
"-y",
"@sonic182/graphmem",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"graphmem": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@sonic182/graphmem",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account sonic182, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.13.0) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.