slm-bot-memory
Cross-bot memory on a shared computer (Grok Bot, Cursor plugin, any host where several agents share one machine). Explains…
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 across workspaces. Works with both
Claude Code
$ npx -y skills add qualixar/superlocalmemory --skill slm-scope --agent claude-code
Codex
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a codex -y
Cursor
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a cursor -y
Gemini CLI
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a gemini-cli -y
GitHub Copilot
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a github-copilot -y
OpenCode
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a opencode -y
Windsurf
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a windsurf -y
name: slm-scope description: 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 across workspaces. Works with both remember (write scope) and recall (read scope flags). when_to_use: | - "Share this memory with the team profile" - "Store this globally so all my agents can see it" - "Recall anything shared from the work profile" - "Can other agents on this machine see my memories?" - User explicitly asks to cross-profile share a fact or see shared facts - Enterprise setup where multiple profiles collaborate allowed-tools: remember, recall, search, list_recent, Bash(slm:*)
SuperLocalMemory is profile-isolated by default. Every profile is a fully independent memory namespace. The scope model adds controlled, opt-in sharing between profiles on the same machine — it is never active unless you explicitly set it.
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| Scope | Visibility | When to use | |-------|-----------|-------------| | `personal` | Active profile only | Default — all facts. Never set explicitly. | | `shared` | Active profile + `shared_with` profiles | Team handoffs, shared project context | | `global` | Every profile on this machine | Machine-wide conventions, org-wide rules |
**The default is always `personal`.** A fact stored without a `scope` argument is private to the profile that stored it. Recall without scope flags returns only personal facts. This is identical to single-profile SLM.
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Never set `scope="shared"` or `scope="global"` (or the recall equivalents `include_shared`, `include_global`) unless the user explicitly asks you to share or read across profiles. This is a hard rule — scope expansion is an action with team-wide or machine-wide impact, and it must always be user-initiated.
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remember( content="API gateway rate limit is 1000 req/min per client", tags="api,limits,ops", project="platform", importance=8, session_id="<sid>", scope="shared", shared_with="devops-profile,backend-profile", )
`shared_with` is a comma-separated list of profile IDs that should be able to recall this fact. Use `slm status` to see the current profile name — that is the `profile_id` to supply.
remember( content="All services must enforce TLS 1.3 minimum", tags="security,tls,global", project="infra", importance=9, session_id="<sid>", scope="global", )
`scope="global"` makes the fact visible to every profile on this machine. Use this only for machine-wide conventions (security rules, org-wide constraints).
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By default, `recall` returns only the active profile's personal facts. To surface shared and global facts, pass the opt-in flags:
recall( query="rate limiting rules", limit=20, include_global=True, # include global-scope facts include_shared=True, # include facts shared with this profile session_id="<sid>", )
You can opt in to either or both flags independently. Only the active profile's permitted shared facts are returned — you cannot read another profile's personal facts.
# Recall with global facts included slm recall "rate limiting rules" --include-global # Recall with shared facts included slm recall "rate limiting rules" --include-shared # Both slm recall "rate limiting rules" --include-global --include-shared # Store a global fact slm remember "TLS 1.3 minimum" --scope global # Store a shared fact (shared-with is a comma-separated list of profile IDs) slm remember "API rate limit 1000/min" --scope shared --shared-with devops,backend
CLI flags: `--include-global` / `--no-global`, `--include-shared` / `--no-shared` on `slm recall`; `--scope personal|shared|global` and `--shared-with <profile-ids>` on `slm remember`. Leaving a flag unset uses the configured default.
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The defaults live in the `scope` section of the mode config files (`mode_a.json`, `mode_b.json`, `mode_c.json`, and the active `config.json`). To make a profile's recalls always include global facts without passing a flag each time:
{
"scope": {
"default_scope": "personal",
"recall_include_global": true,
"recall_include_shared": false
}
}Omit the section, or any field, to keep the safe defaults (`personal`, `false`, `false`). An invalid `default_scope` is ignored with a warning. Changing the default requires editing the config directly — this is an admin-level operation, and an agent must not do it on its own.
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In a workspace with roles (company mode, see `slm-governance`):
share permission. Deleting needs the delete permission, which only admins hold.
turned off while the recall policy forbids cross-profile reads, which is the default in company mode. If an opt-in recall returns only personal facts in a governed workspace, that is the policy working, not a bug; do not try to work around it.
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A `scope="global"` fact deleted by one profile is deleted for all profiles. A `scope="shared"` fact is deleted from all profiles that had access to it. Use `slm forget "<query>" --dry-run` before any deletion involving shared facts to review the impact. See `slm-remember` for the full deletion discipline.
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Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
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