Library · Team · n8n · personal-assistant
Personal Assistant — n8n
Daily capture → prioritized plan with stop rules. Local-first; does not spend money or send mail alone. (n8n workflow recipe (Manual Trigger → LLM → output).)
Id: n8n/personal-assistant · Slug: personal-assistant · Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.
What is this
Workflow for n8n. Daily capture → prioritized plan with stop rules. Local-first; does not spend money or send mail alone. (n8n workflow recipe (Manual Trigger → LLM → output).)
How this runtime fits
This n8n implementation is primarily an AI workflow / agentic workflow for the parent AI Team. Call it a multi-agent workflow only when the graph actually splits agent-like steps.
Parent AI Team: personal-assistant · What is an AI Team?
What it does
Daily capture → prioritized plan with stop rules. Local-first; does not spend money or send mail alone. (n8n workflow recipe (Manual Trigger → LLM → output).)
Who for
Builders working on Productivity jobs who can run n8n themselves.
Need to run
- You will run this locally or on infra you control.
- No production credentials in prompts or committed files.
- n8n instance you control
- Optional local LLM HTTP endpoint
How to use
- In n8n: Import from File → workflow.json (or recreate nodes from the sketch).
- Add your local LLM credential/HTTP node in place of the placeholder.
- Paste the full system prompt into the LLM node.
- Execute once with Example in as input. Inspect output; no schedule yet.
Limitations
- Not a substitute for professional legal, medical, or investment advice.
- Outputs can be wrong; human review required before publish or spend.
- Stage-1 Library items are free recipes — marketplace ready-to-use teams remain separate.
- Do not attach billing cloud LLM nodes without a human budget check.
Test status
Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.
Files
workflow.json— Importable n8n workflow sketchREADME.md— Safe import notes
Full prompt / config / code
# n8n Recipe — Personal Assistant
## Full system prompt (put in your LLM node)
You are a local personal assistant. Goal: capture → prioritize → stop.
RULES:
- Do not send mail, calendar invites, or payments.
- Do not open destructive shell commands.
- Prefer 3 priorities max for today.
- Keep private; assume local-only.
OUTPUT:
1) Inbox capture summary
2) Top 3 for today
3) Parking lot
4) One breath / break reminder
## workflow.json
```json
{
"name": "BotShelf Library \u2014 Personal Assistant",
"nodes": [
{
"parameters": {},
"id": "1",
"name": "Manual Trigger",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
0,
0
]
},
{
"parameters": {
"values": {
"string": [
{
"name": "system",
"value": "You are a local personal assistant. Goal: capture \u2192 prioritize \u2192 stop.\n\nRULES:\n- Do not send mail, calendar invites, or payments.\n- Do not open destructive shell commands.\n- Prefer 3 priorities max for today.\n- Keep private; assume local-only.\n\nOUTPUT:\n1) Inbox capture summary\n2) Top 3 for today\n3) Parking lot\n4) One breath / break reminder\u2026"
},
{
"name": "user_input",
"value": "={{$json.input}}"
}
]
}
},
"id": "2",
"name": "Prepare Prompt",
"type": "n8n-nodes-base.set",
"typeVersion": 3,
"position": [
260,
0
]
},
{
"parameters": {
"notice": "Attach your own local LLM node (Ollama/LM Studio HTTP). Do not enable billing cloud nodes without a human budget check."
},
"id": "3",
"name": "LLM Placeholder",
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
520,
0
]
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Prepare Prompt",
"type": "main",
"index": 0
}
]
]
},
"Prepare Prompt": {
"main": [
[
{
"node": "LLM Placeholder",
"type": "main",
"index": 0
}
]
]
}
},
"meta": {
"botshelf_job": "personal-assistant",
"safety": "manual-trigger-only"
}
}
```
## README safety
- Trigger is Manual only (no cron spend loops in stage 1).
- Replace LLM Placeholder with a local HTTP node to Ollama/LM Studio when ready.
- Do not store API keys in the workflow JSON committed to git; use n8n credentials store.
- No shell nodes that delete files or push to production.
Example in
Capture: - finish Library report - reply to 2 sellers - dentist? - idea: MCP pack v2 Energy: medium. Time: 3h focus.
Example out
Top 3: 1) Library report 2) seller replies 3) schedule dentist check Parking: MCP pack v2 Break: 5 min after report outline
Model / runtime notes
Stage-1 recipe is manual-trigger only. Add schedules only after you confirm cost controls.
Canonical Team
Parent: personal-assistant
· implementation_id: n8n/personal-assistant
GitHub source
teams/personal-assistant/n8n · commit eb87e8e049fdf9908e438305ff827c7b617505b5
· license: free-use-at-own-risk
Structural check: PASS · env: structural (structural only — does not set Verified)
Related Library items
- ollama/personal-assistant
- lm-studio/personal-assistant
- open-webui/personal-assistant
- crewai/personal-assistant
Related marketplace Team pages
Soft thematic links only — not identity merges. Marketplace Teams ≠ Library AI Team records.
- Catch One Breath (marketplace Team page — separate entity)
- Routine One (marketplace Team page — separate entity)