Proactive Claw is a proactive execution engine that collaborates with you and learns from you.
It helps you be more productive by making smart suggestions at the right moment — and (by default) only applying what you approve.
Everything can run locally.
✅ Asks before applying changes (default)
✅ Writes only what you approve (no surprise calendar edits)
✅ Local-first core bundle (no external integration helpers)
✅ Everything can run locally (small/local scoring model recommended)
✅ Local state folder is transparent and deletable
prep durations, preferred times, what you reject, what you always accept.
In short: it becomes your personal assistant.
+--------------------------+ +--------------------------+
| Calendar | | Chat |
| Google Calendar/Nextcloud| | (your control loop) |
+------------+-------------+ +------------+-------------+
| events <-> suggestions | prompts <-> decisions
| |
+-------------------+---------------+
|
v
+--------------------------------------+
| Proactive Claw |
| - notices what's coming |
| - prioritizes what matters |
| - suggests prep / buffers / followup |
| - learns from your feedback |
| - applies only what you approve |
+--------------------------------------+
Key idea: Proactive Claw is proactive, but you remain the decision-maker (by default).
1) Run readiness checks:
bash scripts/setup.sh --doctor
2) If dependencies are missing, print one install command:
bash scripts/setup.sh --print-install-cmd google
# or: bash scripts/setup.sh --print-install-cmd nextcloud
3) Bootstrap calendar connection:
bash scripts/setup.sh
4) Run a safe preview:
bash scripts/quickstart.sh
5) Approve a suggestion in chat, then run once:
python3 scripts/daemon.py
max_autonomy_level=confirm)python3 scripts/daemon.py --loop)You don’t need to tune dozens of settings. Pick a preset.
Presets are just a starting point. Proactive Claw adjusts to you with every interaction (approvals, edits, rejections), and quickly becomes personal.
Choose this if you want only high-value suggestions.
Choose this if you code/build and need long focus blocks.
Choose this when your schedule is packed.
(If you want, these presets can be expressed as a small copy/paste block in config.json.)
Proactive Claw includes a chat scoring model to rank signals (importance, urgency, disruption risk) so it knows:
Recommendation: use a small model, ideally local (fast, cheap, private).
Your planning model can be bigger; scoring should stay small and fast.
You: Tomorrow I’m presenting the roadmap to the board.
Claw (score = 0.92): High impact. You usually prep ~70 minutes for presentations.
Claw: Want me to reserve 08:40–09:50 for prep + a 10-min buffer before the 10:00 meeting?
Claw (score = 0.78): This meeting would split your deep work block (09:30–12:00).
Claw: Prefer to move it to 13:00, or keep it and add a 20-min recovery buffer after?
Claw (score = 0.81): Tomorrow is back-to-back from 10:00–14:00.
Claw: Add 10-min buffers between meetings + a 25-min reset break around midday?
You: I promised I’ll send the summary.
Claw (score = 0.66): Time-sensitive.
Claw: Want a 20-min follow-up block right after the meeting (or at 17:10)?
Claw (score = 0.71): I’ve noticed a pattern for “Client Review” meetings:
Claw: Want me to propose this pattern whenever a new “Client Review” appears (still asking you to approve)?
TECHNICAL ARCHITECTURE (backend = Google OR Nextcloud)
+----------------------------------------------+
| Calendar backend (choose ONE) |
| +-----------------------+ OR +----------+ |
| | Google (OAuth/API) | | Nextcloud| |
| +-----------------------+ | (CalDAV) | |
| +----------+ |
+-----------------------+----------------------+
^
events / changes (propose+apply, Actions only) |
|
v
+----------------------+ +------------------------------------------+ +----------------------+
| OpenClaw Chat UI | <--> | Proactive Claw Core | <--> | Local state |
| prompts <-> decisions| | 1) Ingest: events + chat signals | | config/token/SQLite |
| feedback loop | | 2) Score: urgency/importance (local rec) | | logs (optional) |
+----------------------+ | 3) Plan : prep + buffers + follow-ups | +----------------------+
| 4) Approve (default): ask/confirm in chat|
| 5) Apply : write approved changes |
| 6) Learn : from your approvals/edits |
+------------------------------------------+
^
|
Optional (explicit opt-in)
|
v
+----------------------+
| Optional daemon |
| periodic scan/suggest|
+----------------------+
python3 available on your machinecredentials.json (OAuth client) OR
bash scripts/setup.sh --doctor
bash scripts/setup.sh --print-install-cmd google
# install dependencies manually
bash scripts/setup.sh
You provide:
credentials.json (OAuth client)Proactive Claw creates:
token.json after OAuthYou provide:
Interactive wizard:
python3 scripts/config_wizard.py
Safe defaults:
python3 scripts/config_wizard.py --defaults
scripts/daemon.py for manual local runs.By default: no. Proactive Claw suggests changes in chat and applies only what you approve (max_autonomy_level = confirm).
Locally under:
~/.openclaw/workspace/skills/proactive-claw/
Yes — it can. The scoring model is recommended to be small/local. The calendar backend still connects to your chosen provider because that’s where your calendar lives.
Yes — use Nextcloud (CalDAV).
No. Core includes scripts/daemon.py for manual runs. No launchd/systemd installer is published in this package.
It learns your preferences from your approvals/edits over time: prep durations, preferred times, buffer sizes, meeting types that matter, and deep work rules.
A lightweight model that assigns numeric scores (e.g., 0.66, 0.92) to decide what matters and when to prompt you. Recommended: small/local model.
python3 scripts/daemon.py --loop for continuous local scanning 1) Delete:
~/.openclaw/workspace/skills/proactive-claw/
2) Revoke Google OAuth access if you used Google:
myaccount.google.com/permissions
python3 scripts/daemon.py --loop) 1) Your config key list (or config.example.json) so I can turn presets into copy/paste blocks safely.
2) Whether you want scores displayed as 0.92 or 92/100 (both numeric; one is friendlier).
3) If you want an “Advanced” section for autonomous mode or prefer to keep it out of the main doc.
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