
Grok Bot
Runs the Cursor-format plugin on the bot computer itself, so nothing goes to a memory SaaS. Bots on one computer share one memory store by default.
No API key, no sign-inSuperLocalMemory ships two ways. As a native plugin for Claude Code, Codex, Antigravity, VS Code / GitHub Copilot and Hermes, with skills, sub-agents and session hooks packaged together, plus a lighter Cursor-format plugin for Grok Bot and Cursor. And as a plain MCP server that any Model Context Protocol client can connect to directly, with no plugin required.
The five editor plugins (Claude Code, Codex, Antigravity, VS Code / Copilot and Hermes) install the full surface at once: fifteen skills, four advisory sub-agents and session hooks, all built from one source in the repository so they stay in step. Grok Bot and Cursor get a smaller bot-sized plugin, described below the cards.
Installs from the qualixar marketplace. Restart Claude Code to load it after install or update.
# adds the marketplace, then installs
claude plugin marketplace add qualixar/superlocalmemory
claude plugin install superlocalmemory@qualixar A dedicated Codex build — its own rules, hooks, and launcher, not a relabeled copy of another editor's plugin.
# adds the marketplace, then installs
codex plugin marketplace add qualixar/superlocalmemory --ref main
codex plugin add superlocalmemory-codex@qualixar Antigravity's plugin installer takes a local directory, not a remote marketplace — clone the repository first.
# clone, then point agy at the plugin folder
git clone https://github.com/qualixar/superlocalmemory.git
agy plugin install superlocalmemory/antigravity-plugin One command from your project root writes the MCP config and the Copilot instructions file, merging without overwriting what is already there. The prompt files, advisor agents and hooks come next: copy them from the plugin's .github/ folder into your project's .github/, keeping any files of your own.
# writes .vscode/mcp.json and .github/copilot-instructions.md slm connect vscode-copilot --here # then copy copilot-plugin/.github/ (prompts, agents, hooks) # into your project's .github/. The npm package carries it at # $(npm root -g)/superlocalmemory/copilot-plugin/
A native Hermes plugin with /slm <command> slash commands, plus /slm-<command> aliases for the public SLM CLI. It installs disabled: you review it and enable it. The plugin only calls the superlocalmemory MCP server you grant it. It cannot grant itself capabilities.
# runtime first, then the plugin
python -m pip install --upgrade superlocalmemory
slm doctor
hermes plugins install 'https://github.com/qualixar/superlocalmemory.git#hermes-plugin' slm connect <ide> writes the MCP config for 12 IDEs, including Cursor, Windsurf, Zed, JetBrains, Gemini CLI and Claude Desktop. No plugin needed to get the memory tools.
A different shape from the editor plugins: a Cursor-format plugin from the qualixar marketplace, built for a shared, memory-tight bot computer. It has no hooks and no dashboard. No API key and no sign-in: the server runs locally on the bot computer, so nothing goes to a memory SaaS. It is not the same thing as slm connect cursor, which only writes MCP config.
# in Grok Bot's (or Cursor's) Plugins screen
1. add the marketplace: qualixar
2. add the plugin: superlocalmemory The same memory behind every row. What changes is how much of the surrounding kit your host can take.
| Host | Skills | Sub-agents | Hooks | How you install |
|---|---|---|---|---|
| 15 | 4 | Session hooks, plus the /slm-loop command | Add the qualixar marketplace, then claude plugin install superlocalmemory@qualixar | |
| 15 | 4 | Codex lifecycle hooks (review them with /hooks) | Add the marketplace, then codex plugin add superlocalmemory-codex@qualixar | |
| 15 | 4 | Session hooks | Clone the repository, then agy plugin install on the plugin folder | |
| 15, as prompt files | Advisor agents (4) | A hooks file: stable on Copilot CLI and the cloud agent, Preview in VS Code | slm connect vscode-copilot --here, then copy the add-ons into .github/ | |
| 15 | 4 on-demand child-agent roles | Lifecycle observation; your Hermes hooks and settings are left alone | hermes plugins install from the repository, after the runtime is installed | |
| 2 | Not listed | None, and no dashboard | Add the qualixar marketplace in the host's Plugins screen, then superlocalmemory | |
| Any MCP client | Tools only: profiles from 8 to 103 tools | None | None | slm connect <ide>, or one mcpServers entry |
The five editor plugins are built from one source and adapted to each host. The Antigravity install takes a local folder, which is why it starts with a clone.
A plugin is a convenience — skills, sub-agents, and hooks bundled for editors that support the format. The memory itself is served over the Model Context Protocol, which any compliant client can reach with a single server entry.
Works the same way in Cursor, a raw mcpServers block, or any tool that speaks MCP over stdio or HTTP — no marketplace, no plugin manager. Run slm connect <ide> and SLM writes this config for 12 IDEs, including Cursor, Windsurf, Zed, JetBrains, Gemini CLI and Claude Desktop.
{
"mcpServers": {
"superlocalmemory": {
"command": "slm",
"args": ["mcp"]
}
}
} Or point the client at the local HTTP endpoint instead of starting a process:
{
"mcpServers": {
"superlocalmemory": {
"type": "http",
"url": "http://127.0.0.1:8765/mcp/"
}
}
} The universal agent rules are a single file that teaches an agent when to recall, what to save and how to keep memory clean. The same discipline the native plugins carry, for agents that have no plugin.
Drop the file into AGENTS.md, CLAUDE.md, .cursorrules or the agent's system prompt. It covers when to load context at session start, recall before remembering, one atomic fact per save with tags and a kind, and what to do when recall says it has no answer.
ChatGPT, Claude on the web, Claude Code on the web, Muse and Composio can use the memory on your computer. Turn on Web access from the dashboard's Connected apps page; the memory database stays on your computer.
Connecting an app gives it the tools, not the judgment to use them well. The web-agent pack closes that gap with three copy-paste shapes: an instructions block for the app's system-prompt field, an Agent Skill folder for apps that accept skills, and a Copy instructions button in the dashboard. They tell the agent to recall before answering, to say "I don't have that" when memory has no answer, to save only lasting facts and never secrets, and what to do when your computer is asleep. On your computer, the slm-web-access skill, shipped in every editor plugin, helps a local agent set up Web access and diagnose a connection.
The same governed memory reaches bots and web apps. Web apps sign in with OAuth and you choose per app whether it may only read or also save. A bot on a shared computer runs the plugin locally.

Runs the Cursor-format plugin on the bot computer itself, so nothing goes to a memory SaaS. Bots on one computer share one memory store by default.
No API key, no sign-in
Uses the memory on your computer through Web access; paste the web-agent instructions into a project or custom GPT so it knows when to recall.
Web access · OAuth sign-in
Muse bots reach the same memory through Web access and take the same pasted instructions, so they recall before answering.
Web access · read or save, per appThe memory database stays on your computer, and your computer must be online for a web app to reach it. See the day-to-day flow, step by step →