Your AI's operating system.
Memory, skills, workflows, and autonomous agents — all in markdown.
A battle-tested configuration for running your AI assistant the way it should be run — with real memory, useful skills, and agents that work while you sleep.
This is what powers OpenClaw: a personal AI that remembers everything, connects to your tools, and gets better over time.
- Three-tier memory — Daily logs, curated long-term memory, and semantic search across deep knowledge
- 9 skills — From web research to meeting transcripts to CRM access, each a standalone UV script
- Autonomous workflows — Agents that run on a schedule, learn your preferences, and manage themselves
- Decision frameworks — Bezos's one-way/two-way doors, certainty thresholds, priority filters
- DevOps built in — Health checks, backup verification, and fleet management across machines
Tell your OpenClaw instance:
Set up openclaw-config from https://github.com/TechNickAI/openclaw-config
To update later:
Update my openclaw config
That's it. Your AI handles the rest.
openclaw-config/
├── templates/ # Your AI's identity and operating instructions
│ ├── AGENTS.md # Complete operating instructions
│ ├── SOUL.md # AI personality definition
│ ├── USER.md # Human profile
│ ├── MEMORY.md # Curated essentials (~100 lines max)
│ ├── TOOLS.md # Local environment config
│ ├── HEARTBEAT.md # Periodic check schedule
│ └── IDENTITY.md # Quick reference card
│
├── skills/ # Standalone UV scripts — no setup required
│ ├── asana/ # Task & project management
│ ├── fireflies/ # Meeting transcript search
│ ├── followupboss/ # Real estate CRM
│ ├── librarian/ # Knowledge base curation
│ ├── limitless/ # Pendant lifelog search
│ ├── openclaw/ # Self-management & updates
│ ├── parallel/ # Web research & extraction
│ ├── quo/ # Business phone & SMS
│ └── smart-delegation/ # Intelligent task routing
│
├── workflows/ # Autonomous agents with state & learning
│ ├── email-steward/ # Inbox triage & management
│ └── task-steward/ # Task classification & execution
│
├── memory/ # Example memory structure
│ ├── people/ # Relationship context
│ ├── projects/ # Project knowledge
│ ├── topics/ # Domain expertise
│ └── decisions/ # Decision history
│
└── devops/ # Health checks & fleet management
Skills are standalone UV scripts — Python with inline dependencies, no project setup required. Each skill is self-contained and versioned independently.
| Skill | What it does | Version |
|---|---|---|
| parallel | Web research & content extraction via Parallel.ai | 0.2.0 |
| limitless | Query Limitless Pendant lifelogs & conversations | 0.2.0 |
| fireflies | Search Fireflies.ai meeting transcripts & action items | 0.2.0 |
| quo | Business phone — calls, texts, transcripts, contacts | 0.2.0 |
| asana | Task & project management — create, update, organize | 0.1.0 |
| followupboss | Real estate CRM — contacts, deals, pipeline | 0.1.0 |
| librarian | Knowledge base curation — promotes, deduplicates, maintains | 0.1.0 |
| smart-delegation | Intelligent task routing — Opus for deep reasoning, Grok for unfiltered analysis | 0.1.0 |
| openclaw | Self-management — setup, updates, health checks | 0.2.2 |
Workflows are autonomous agents that run on a schedule. Unlike skills (tools you call), workflows have state, learn your preferences over time, and manage themselves.
| Workflow | What it does | Version |
|---|---|---|
| email-steward | Inbox triage — archives debris, manages labels, alerts on important | 0.2.0 |
| task-steward | Task orchestration — classifies work, creates tasks, spawns sub-agents | 0.1.0 |
Each workflow maintains:
AGENT.md— The algorithm (updates with openclaw-config)rules.md— Your preferences (you customize, never overwritten)agent_notes.md— Learned patterns (grows over time)logs/— Execution history
Your AI decides what to remember using four criteria:
| Criterion | Question |
|---|---|
| Durability | Will this matter in 30+ days? |
| Uniqueness | Is this new or already captured? |
| Retrievability | Will I want to recall this later? |
| Authority | Is this reliable? |
Tier 1: Always-Loaded — MEMORY.md, curated essentials in context at all times
Tier 2: Daily Context — memory/YYYY-MM-DD.md, today + yesterday loaded
automatically
Tier 3: Deep Knowledge — memory/people/, projects/, topics/, decisions/,
indexed with vector embeddings for semantic search. Supports LM Studio (local, free) or
OpenAI.
- File-based memory — Text files beat databases for AI context
- Markdown over JSON — Language models think better in prose
- Two-way doors — Act freely on reversible decisions; pause on irreversible ones
- Self-contained skills — No shared dependencies, no coordination overhead
- Workflows that learn — Agents should get better at their job, not just repeat it
# Run tests
uv run --with pytest pytest tests/ -vIntegration tests auto-skip when API keys aren't set.
PRs welcome! Keep templates generic (no personal content). Each skill should remain self-contained with its own inline dependencies.
MIT
Built by TechNickAI
Your AI deserves an operating system.