Superlocalmemory plugin for Grok Build
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
How to install Superlocalmemory in Grok Build
1. Add this repo as a plugin marketplace in Grok Build (once per computer):
grok plugin marketplace add qualixar/superlocalmemory2. Install the plugin:
grok plugin install superlocalmemory@qualixar/superlocalmemory --trustReview before you trust it. --trust lets this plugin's hooks, MCP servers and scripts run code on your computer. It's a community repo that neither xAI nor GrokStacks has reviewed, so read its code first.
This repo's marketplace has 2 plugins; we checked superlocalmemory, superlocalmemory-codex. Install another the same way: grok plugin install <name>@qualixar/superlocalmemory --trust (names under 'What it contains'). Then start a new Grok session, or press r in /plugins, to load it.
Inside Grok Build: type /plugins, open the Marketplace tab, press a and add qualixar/superlocalmemory, then select superlocalmemory and press i.
Command format: Grok Build's plugin guide
Runs a local MCP server (with npx, uvx or similar), so that tool needs to be installed, for example Node.js for npx.
What we checked: on Oct 18, 2026 it installed with grok 1.0.62 and Grok found 32 skills, 2 slash commands, 2 subagents. That's an install check only: we haven't run it in a live Grok session.
What it contains
Skills (32)
slm-bot-memory— Cross-bot memory on a shared computer (Grok Bot, Cursor plugin, any host where several agents share one machine). Explains agent_id attribution vs. profile/scope access, how to namespace by agent_id + profile + scope, and what must never beslm-cache— KV cache for repeated reads — call slm_cache_get(key) first; on a miss do the expensive operation then slm_cache_set(key, value, ttl_seconds) to store it; on a hit use the returned value directly; always fail-open (hit:false on any error, nslm-compress— Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode, reversible, ttl_seconds) to shrink content; if the result is lossy a ccr_id is returnslm-getting-started-bot— First-session orientation for SuperLocalMemory on a headless bot host (Grok Bot, or any Cursor-format plugin install with no hooks, no dashboard, and no interactive setup wizard). What is different here vs. Claude Code/Codex, which 19 toolsslm-governance— Governed-workspace behavior for SuperLocalMemory. Covers roles (admin/member/viewer) and company mode, who administers a company-mode workspace (a signed-in admin, or `slm team` on the SLM computer), `slm token show` in strict mode, what reslm-graph— Index and query a codebase as a structural graph — build the code graph, trace blast radius of a change, find callers/callees/inheritors, semantic code search by meaning, assemble PR review context, and detect what changed since last index.slm-loop— Gate-verified bounded loops with SuperLocalMemory as the durable ledger. Use when a task has a checkable acceptance condition and you must iterate until an INDEPENDENT gate passes — never stopping because the agent believes it is done. `slmslm-media— Save pictures and PDFs in SuperLocalMemory and find them again by describing them. Covers when to save a picture or document, remember_media, remember_document, get_media, media_status and media_upload_link, how recall returns pictures andslm-mesh— Cross-session peer coordination via the SLM mesh network. Lets multiple AI agent sessions on the same machine, and web apps the owner has allowed (ChatGPT, Claude on the web, Grok Bot, Muse, Composio), discover each other, send messages, waslm-profile— Memory profiles (separate namespaces inside one SuperLocalMemory store) and MCP tool sets (which tools your host sees). Use switch_profile or slm profile switch to change the active memory profile, the profile_id argument to read or write aslm-recall— Search and retrieve facts, decisions, and past context from SuperLocalMemory. Use when the user asks to recall, find, search, or "what did we decide/say about X". Triggers multi-channel semantic retrieval with reranking; always call beforeslm-remember— Capture durable facts, decisions, constraints, and gotchas into SuperLocalMemory. Use when the user says "remember that", "save this decision", "note this constraint", or when a session produces a conclusion worth persisting across sessionsslm-scope— Controls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine). Default is always personal. Only change scope when the user explicitly asks to share a memory acslm-session— Manage SuperLocalMemory session lifecycle — call session_init once at the start of every fresh session to load relevant project context and get a session_id; call close_session when work is meaningfully complete to commit temporal summariesslm-status— Health and optimization stats for SuperLocalMemory — call slm_optimize_stats() for live compression and cache counters (compress_runs, tokens_saved_compress, cache_proxy_hits, cache_proxy_misses, cache_kv_hits, cache_kv_misses); run slm staslm-web-access— Set up and troubleshoot SuperLocalMemory Web access, the optional link that lets web apps (ChatGPT, Claude on the web, Muse, Composio, other remote MCP clients) use the memory on this computer. Covers turning it on from the dashboard, addinslm-bot-memory— Cross-bot memory on a shared computer (Grok Bot, Cursor plugin, any host where several agents share one machine). Explains agent_id attribution vs. profile/scope access, how to namespace by agent_id + profile + scope, and what must never beslm-cache— KV cache for repeated reads — call slm_cache_get(key) first; on a miss do the expensive operation then slm_cache_set(key, value, ttl_seconds) to store it; on a hit use the returned value directly; always fail-open (hit:false on any error, nslm-compress— Compress large text, tool output, or transcripts to reduce context-window usage while keeping the full 1M window intact — call slm_compress(content, mode, reversible, ttl_seconds) to shrink content; if the result is lossy a ccr_id is returnslm-getting-started-bot— First-session orientation for SuperLocalMemory on a headless bot host (Grok Bot, or any Cursor-format plugin install with no hooks, no dashboard, and no interactive setup wizard). What is different here vs. Claude Code/Codex, which 19 toolsslm-governance— Governed-workspace behavior for SuperLocalMemory. Covers roles (admin/member/viewer) and company mode, who administers a company-mode workspace (a signed-in admin, or `slm team` on the SLM computer), `slm token show` in strict mode, what reslm-graph— Index and query a codebase as a structural graph — build the code graph, trace blast radius of a change, find callers/callees/inheritors, semantic code search by meaning, assemble PR review context, and detect what changed since last index.slm-loop— Gate-verified bounded loops with SuperLocalMemory as the durable ledger. Use when a task has a checkable acceptance condition and you must iterate until an INDEPENDENT gate passes — never stopping because the agent believes it is done. `slmslm-media— Save pictures and PDFs in SuperLocalMemory and find them again by describing them. Covers when to save a picture or document, remember_media, remember_document, get_media, media_status and media_upload_link, how recall returns pictures andslm-mesh— Cross-session peer coordination via the SLM mesh network. Lets multiple AI agent sessions on the same machine, and web apps the owner has allowed (ChatGPT, Claude on the web, Grok Bot, Muse, Composio), discover each other, send messages, waslm-profile— Memory profiles (separate namespaces inside one SuperLocalMemory store) and MCP tool sets (which tools your host sees). Use switch_profile or slm profile switch to change the active memory profile, the profile_id argument to read or write aslm-recall— Search and retrieve facts, decisions, and past context from SuperLocalMemory. Use when the user asks to recall, find, search, or "what did we decide/say about X". Triggers multi-channel semantic retrieval with reranking; always call beforeslm-remember— Capture durable facts, decisions, constraints, and gotchas into SuperLocalMemory. Use when the user says "remember that", "save this decision", "note this constraint", or when a session produces a conclusion worth persisting across sessionsslm-scope— Controls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine). Default is always personal. Only change scope when the user explicitly asks to share a memory acslm-session— Manage SuperLocalMemory session lifecycle — call session_init once at the start of every fresh session to load relevant project context and get a session_id; call close_session when work is meaningfully complete to commit temporal summariesslm-status— Health and optimization stats for SuperLocalMemory — call slm_optimize_stats() for live compression and cache counters (compress_runs, tokens_saved_compress, cache_proxy_hits, cache_proxy_misses, cache_kv_hits, cache_kv_misses); run slm staslm-web-access— Set up and troubleshoot SuperLocalMemory Web access, the optional link that lets web apps (ChatGPT, Claude on the web, Muse, Composio, other remote MCP clients) use the memory on this computer. Covers turning it on from the dashboard, addin
Subagents (8)
superlocalmemory:slm-governance-advisor— Advises on scope, roles, compliance, and GDPR use in SuperLocalMemory. Consult this advisor when working in a governed enterprise workspace, when the user asks about data retention or erasure, when asuperlocalmemory:slm-loop-runner— Runs a task as a bounded loop backed by SuperLocalMemory: iterate until an INDEPENDENT gate passes — never the agent's own claim. Delegate here when a task has a checkable acceptance condition (a testsuperlocalmemory:slm-memory-advisor— Advises the main agent on using SuperLocalMemory well — when to call session_init, remember, recall, and search; how to phrase queries; and how to keep memory clean. Delegate here for any "should I sasuperlocalmemory:slm-optimize-advisor— Applies SuperLocalMemory's context-optimization rules — reversible compression of large tool output and KV-caching of repeated reads/searches — to stretch the context window with no proxy. Delegate hesuperlocalmemory-codex:slm-governance-advisor— Advises on scope, roles, compliance, and GDPR use in SuperLocalMemory. Consult this advisor when working in a governed enterprise workspace, when the user asks about data retention or erasure, when asuperlocalmemory-codex:slm-loop-runner— Runs a task as a bounded loop backed by SuperLocalMemory: iterate until an INDEPENDENT gate passes — never the agent's own claim. Delegate here when a task has a checkable acceptance condition (a testsuperlocalmemory-codex:slm-memory-advisor— Advises the main agent on using SuperLocalMemory well — when to call session_init, remember, recall, and search; how to phrase queries; and how to keep memory clean. Delegate here for any "should I sasuperlocalmemory-codex:slm-optimize-advisor— Applies SuperLocalMemory's context-optimization rules — reversible compression of large tool output and KV-caching of repeated reads/searches — to stretch the context window with no proxy. Delegate he
MCP servers (1)
superlocalmemory— stdio server
Hooks (1)
hooks— PostToolUse, PreToolUse, SessionStart, Stop, UserPromptSubmit
Plugins in this marketplace (2)
superlocalmemory— Local-first agent memory + reversible context compression and KV cache, as an MCP server, with optional pictures, PDFs and bot messaging. Serves the 58-tool full profile by default; `slm tools set <name>` changes it for every app.superlocalmemory-codex— Local-first agent memory with auditable hybrid retrieval — the Codex build, with Codex-shaped rules, hooks and launcher.
About this listing
Superlocalmemory is a community plugin on GitHub by qualixar, built for Grok Build. We install-checked it in Grok; we haven't run it in a live session or reviewed its code. When we installed it, Grok found 32 skills, 8 subagents, 1 MCP server, 1 hook, 2 plugins in this marketplaces. Its license is AGPL-3.0. We checked commit 6a8c704964ef. It's one of 52 listings in the Research category on GrokStacks.
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Superlocalmemory FAQ
How do I install Superlocalmemory in Grok Build?
Add the repo as a marketplace with grok plugin marketplace add qualixar/superlocalmemory, then run grok plugin install superlocalmemory@qualixar/superlocalmemory --trust. This repo's marketplace has 2 plugins; we checked superlocalmemory, superlocalmemory-codex. Install another the same way: grok plugin install <name>@qualixar/superlocalmemory --trust (names under 'What it contains'). Then start a new Grok session, or press r in /plugins, to load it.
Is Superlocalmemory an official Grok Build plugin?
No. Superlocalmemory is a community plugin on GitHub by qualixar, not in xAI's official Grok Build marketplace. We checked that it installs and what Grok loads from it, but haven't run it in a live Grok session or reviewed its code.
What does Superlocalmemory include?
According to what Grok loaded in our install check, Superlocalmemory includes 32 skills, 8 subagents, 1 MCP server, 1 hook, 2 plugins in this marketplaces: slm-bot-memory, slm-cache, slm-compress, slm-getting-started-bot, slm-governance, slm-graph….
Details
- Type
- Plugin
- Category
- Research
- Source
- Community plugin, built for Grok Build
- License
- AGPL-3.0
- Author
- qualixar
- Keywords
- agent-memory, agent-reliability, ai-agents, claude-code, cursor, knowledge-graph, llm-memory, local-first, mcp, mcp-server, persistent-memory, qualixar
- Source repo
- https://github.com/qualixar/superlocalmemory
- Checked commit
6a8c704964ef- Homepage
- https://www.superlocalmemory.com
- Checked by GrokStacks
- Install-checked in Grok Build on Oct 18, 2026; not run in a live session
Something wrong or missing? Submit or improve this listing. Marketplace listings also refresh automatically every night.
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Markdown
[](https://grokstacks.com/p/superlocalmemory/)HTML
<a href="https://grokstacks.com/p/superlocalmemory/"><img src="https://grokstacks.com/badge.svg" alt="Listed on GrokStacks" width="164" height="28"></a>Embed card (static HTML and inline CSS, no JavaScript). Preview:
<a href="https://grokstacks.com/p/superlocalmemory/" style="display:block;max-width:380px;box-sizing:border-box;padding:14px 16px;border:1px solid #2a2e3c;border-radius:12px;background:#0a0b0f;color:#e8eaf0;font:14px/1.45 -apple-system,Segoe UI,Roboto,Helvetica,Arial,sans-serif;text-decoration:none"><span style="display:block;font-size:16px;font-weight:700;color:#e8eaf0">Superlocalmemory</span><span style="display:block;margin:2px 0 8px;font-size:12px;color:#9aa0b1">Community plugin for Grok Build · 32 skills, 8 subagents, 1 MCP server, 1 hook, 2 plugins in this marketplaces</span><span style="display:block;margin:0 0 10px;color:#c9cdd8">Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253</span><span style="font-size:12px;font-weight:600;color:#7c9cff">View on GrokStacks →</span></a>Markdown summary
**[Superlocalmemory on GrokStacks](https://grokstacks.com/p/superlocalmemory/)**: Community plugin for Grok Build with 32 skills, 8 subagents, 1 MCP server, 1 hook, 2 plugins in this marketplaces. Install: `grok plugin install superlocalmemory@qualixar/superlocalmemory --trust` (after `grok plugin marketplace add qualixar/superlocalmemory`)More on badges, embeds and keeping your listing up to date: GrokStacks for plugin authors.
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