Proactive Claw
// 🦞 The most powerful proactive engine for OpenClaw. Your personal assistant that learns from you and helps you be more productive.
🦞 Proactive Claw
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.
Safety in one glance ✅
✅ 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
Why people install it (what you feel in week 1)
- You show up prepared more often.
- Your calendar becomes more realistic (buffers appear where they matter).
- Deep work blocks stop getting shredded by “just one quick meeting.”
- Follow-ups stop slipping.
- Proactive Claw learns your style quickly: prep durations, preferred times, what you reject, what you always accept.
In short: it becomes your personal assistant.
Graph A — the simple loop (how it works at a glance)
+--------------------------+ +--------------------------+
| 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).
Quick start (2 minutes)
- Run readiness checks:
bash scripts/setup.sh --doctor
- 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
- Bootstrap calendar connection:
bash scripts/setup.sh
- Run a safe preview:
bash scripts/quickstart.sh
- Approve a suggestion in chat, then run once:
python3 scripts/daemon.py
Modes (choose your vibe)
- Suggest (default): asks before applying changes (
max_autonomy_level=confirm) - Background (manual): run local daemon yourself (
python3 scripts/daemon.py --loop) - Autonomous (advanced): explicit opt-in only (not recommended until you’ve used it for a while)
Presets (easy setup)
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.
A) Calm mode (minimal interruptions)
Choose this if you want only high-value suggestions.
- fewer prompts
- only important events get prep/buffers
B) Builder mode (deep work protected)
Choose this if you code/build and need long focus blocks.
- defends 2–3h deep work windows
- suggests moving meetings that fragment focus
- stronger buffers + recovery time
C) Meetings-heavy week
Choose this when your schedule is packed.
- adds buffers + reset breaks
- prevents back-to-back collapse
- proposes follow-ups so action doesn’t slip
(If you want, these presets can be expressed as a small copy/paste block in config.json.)
Chat scoring model (built-in; small/local recommended)
Proactive Claw includes a chat scoring model to rank signals (importance, urgency, disruption risk) so it knows:
- what matters,
- when to ask you,
- and when to stay quiet.
Recommendation: use a small model, ideally local (fast, cheap, private).
Your planning model can be bigger; scoring should stay small and fast.
Scenarios (mini transcripts)
1) Presentation tomorrow → prep + buffer
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?
2) Deep work protection (developer mode)
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?
3) Back-to-back day → buffers + reset
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?
4) Follow-up that tends to slip
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)?
5) It becomes personal fast (recurring pattern)
Claw (score = 0.71): I’ve noticed a pattern for “Client Review” meetings:
- you prefer 30-min prep the same day
- 10-min buffer before
- no meetings after 18:00
Claw: Want me to propose this pattern whenever a new “Client Review” appears (still asking you to approve)?
Graph B — technical architecture (backend = Google OR Nextcloud)
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|
+----------------------+
Setup
0) Requirements
python3available on your machine- Google backend:
credentials.json(OAuth client)
OR - Nextcloud backend: CalDAV URL + app password (or token)
1) Validate dependencies + bootstrap config
bash scripts/setup.sh --doctor
bash scripts/setup.sh --print-install-cmd google
# install dependencies manually
bash scripts/setup.sh
2) Choose your calendar backend
Option A — Google Calendar (OAuth)
You provide:
credentials.json(OAuth client)
Proactive Claw creates:
token.jsonafter OAuth
Option B — Nextcloud (CalDAV)
You provide:
- CalDAV base URL
- app password
3) Configure behavior
Interactive wizard:
python3 scripts/config_wizard.py
Safe defaults:
python3 scripts/config_wizard.py --defaults
4) Core boundaries (this package)
- Includes:
scripts/daemon.pyfor manual local runs. - Excludes from published bundle: cross-skill connectors, team awareness, daemon installers, optional remote OAuth bootstrap, voice bridge, and llm rater.
- No background installer is shipped in this package.
FAQ
Will this mess up my calendar?
By default: no. Proactive Claw suggests changes in chat and applies only what you approve (max_autonomy_level = confirm).
Where does it store data?
Locally under:
~/.openclaw/workspace/skills/proactive-claw/
Does everything run locally?
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.
Can I use it without Google?
Yes — use Nextcloud (CalDAV).
Does core include daemon installer helpers?
No. Core includes scripts/daemon.py for manual runs. No launchd/systemd installer is published in this package.
What does “learning” mean here?
It learns your preferences from your approvals/edits over time: prep durations, preferred times, buffer sizes, meeting types that matter, and deep work rules.
What is the chat scoring model?
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.
Troubleshooting (by symptom)
- “Too many prompts” → use Calm mode; reject a few times; it will adapt
- “Not proactive enough” → run
python3 scripts/daemon.py --loopfor continuous local scanning - “Prep blocks are wrong length” → edit them twice; it will converge
- “OAuth issues” → re-run setup; revoke token and re-auth if needed
Uninstall
- Delete:
~/.openclaw/workspace/skills/proactive-claw/ - Revoke Google OAuth access if you used Google: myaccount.google.com/permissions
Glossary
- Prep block: time reserved before an event to prepare
- Buffer: short gap that prevents schedule collisions
- Deep work: uninterrupted focus block
- Daemon: background loop process (
python3 scripts/daemon.py --loop) - Score: 0–1 number indicating importance/urgency
To improve this 100×, here’s what would help:
- Your config key list (or config.example.json) so I can turn presets into copy/paste blocks safely.
- Whether you want scores displayed as
0.92or92/100(both numeric; one is friendlier). - If you want an “Advanced” section for autonomous mode or prefer to keep it out of the main doc.