Best use case
AgentOS SDK for Clawdbot is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
**Version:** 1.4.4
Teams using AgentOS SDK for Clawdbot should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agentos/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How AgentOS SDK for Clawdbot Compares
| Feature / Agent | AgentOS SDK for Clawdbot | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
**Version:** 1.4.4
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
SKILL.md Source
# AgentOS SDK for Clawdbot
**Version:** 1.4.4
The complete AgentOS integration for Clawdbot. One install, full access to everything.
---
## ⚠️ HARD RULE: Dashboard Sync During Heartbeats
**Any agent using this SDK MUST sync to the AgentOS dashboard during every heartbeat.**
This is non-negotiable. Your human monitors your activity via the Brain Dashboard at https://brain.agentos.software. If you don't sync, they can't see what you're doing.
### Required Heartbeat Actions
Every heartbeat, run (recommended):
```bash
~/clawd/bin/agentos-golden-sync.sh
```
Fallback (memory-only):
```bash
~/clawd/bin/agentos-sync.sh
```
Or if using the aos CLI:
```bash
aos sync
```
### What Gets Synced
**Golden Sync (recommended)** updates BOTH:
- **Memory** (CONTEXT.md, daily notes, project compartments, learnings, heartbeat status)
- **Projects tab** (Activity + Tasks + Ideas + Changelog + Challenges) by syncing from per-project markdown files
Memory specifics:
- **CONTEXT.md** — Your working memory/current state (MUST include active conversation state)
- **Daily notes** — Today's activity log (`memory/daily/YYYY-MM-DD.md`)
- **Project compartments** — `memory/projects/**.md`
- **Heartbeat status** — Last sync timestamp, active status
---
## ⚠️ HARD RULE: Conversation State Persistence
**CONTEXT.md MUST always contain the active conversation state as the FIRST section.**
This is the core of memory persistence. System health is secondary — conversation state is primary. Your human should NEVER have to repeat themselves after a compaction.
### Required CONTEXT.md Format
Every CONTEXT.md backup must start with:
```markdown
## 🔴 ACTIVE CONVERSATION
- **Topic:** [Project + specific feature/topic being discussed]
- **Last human message:** [What they asked/said]
- **Your last response:** [What you answered]
- **Unanswered questions:** [Anything pending]
- **Expected next topic:** [What they'll likely ask next]
```
### When to Update
1. After EVERY human message
2. Before EVERY heartbeat sync
3. On pre-compaction flush (priority #1)
4. After completing any task
### The Test
"If I lost all memory right now, could I seamlessly continue this conversation?" If no → backup is incomplete.
### Add to Your HEARTBEAT.md
```markdown
## 🧠 AgentOS Dashboard Sync (MANDATORY)
Every heartbeat, run: `~/clawd/bin/agentos-sync.sh`
This keeps your human's dashboard live with your activity.
```
### Add to Your AGENTS.md
```markdown
## HARD RULE: AgentOS Dashboard Sync
During EVERY heartbeat, sync your context to AgentOS:
1. Run `~/clawd/bin/agentos-sync.sh`
2. Confirm it completes successfully
3. Your human monitors your activity via brain.agentos.software
This keeps the Brain Dashboard live. No exceptions.
```
---
## ⚠️ HARD RULE: Session Start — Context Injection
**On EVERY session start (including after compaction), you MUST restore context.**
This is what makes memory persistence actually work. Without this, you wake up blank.
### Protocol (MANDATORY)
1. **Run context injection:**
```bash
~/clawd/bin/aos-inject-context
```
2. **Read the output** — it contains:
- Your last working memory state
- Today's notes
- Yesterday's notes (for continuity)
3. **Never ask "what were we discussing?"** — the context injection tells you.
4. **If injection fails**, fall back to reading local files:
- `CONTEXT.md`
- `memory/daily/YYYY-MM-DD.md`
### Why This Exists
Context loss is the #1 problem in AI agents. When compaction happens, you lose conversation details. This protocol restores them automatically so your human never notices.
---
## ⚠️ HARD RULE: Pre-Compaction Backup
**When you receive a memory flush directive from Clawdbot, IMMEDIATELY backup your state.**
Clawdbot sends a silent turn before compaction with text like "write important context to memory". This is your last chance to save state before details are lost.
### Protocol (MANDATORY when you see memory flush directive)
1. **Update CONTEXT.md** with:
- Current conversation topic (🔴 ACTIVE CONVERSATION section)
- Last 2-3 exchanges summarized
- Any pending questions/tasks
- Current timestamp
2. **Run sync immediately:**
```bash
~/clawd/bin/agentos-sync.sh
```
3. **Reply with:** `NO_REPLY`
### Detection
Memory flush directives typically contain:
- "write important context"
- "save your current state"
- "memory flush"
- "before compaction"
When you see these keywords in a system message, execute this protocol.
---
## ⚠️ HARD RULE: Never Ask What They're Referring To
**After any context loss (compaction, restart, session start), NEVER ask your human what they mean.**
### Protocol
1. First, run `~/clawd/bin/aos-inject-context` to restore cloud context
2. Check local files: CONTEXT.md, daily notes
3. Use `aos search "<topic>"` if you need more context
4. THEN respond normally — as if you never lost context
5. Only if completely uncertain, make your best guess based on available context
### The Standard
Your human should NEVER know when compaction happened. The experience must be seamless.
---
## Features
- ✅ **Mesh Messaging** — Agent-to-agent communication
- ✅ **Memory Sync** — Auto-sync memories to AgentOS cloud
- ✅ **Semantic Search** — Query your memories with natural language
- ✅ **WebSocket Support** — Real-time message notifications
- ✅ **Dashboard Access** — View your agent's brain at brain.agentos.software
- ✅ **Full API Access** — Complete REST API integration
- ✅ **Multi-Tenant** — Each user gets isolated tenant via Google OAuth
- ✅ **Kanban Board** — Task management with priorities and statuses
- ✅ **Projects** — Project tracking with activity logs and brainstorming
- ✅ **API Key Management** — Generate and manage API keys per tenant
- ✅ **Bulk Operations** — dump-all, agents discovery endpoints
## Quick Start
```bash
# 1. Install the skill
clawdhub install agentos
# 2. Run setup (creates config + sync script)
bash ~/clawd/skills/agentos/scripts/setup.sh
# 3. Configure (creates ~/.agentos.json)
# Enter your API key and agent ID when prompted
# 4. Verify connection
aos status
# 5. Add sync to heartbeat (REQUIRED)
# Edit your HEARTBEAT.md and add the sync command
```
## Getting Your API Key
1. Go to https://brain.agentos.software
2. Sign up / Log in with Google
3. Create a new agent (or use existing)
4. Copy your API key from the dashboard
## CLI Reference
### aos — Main CLI
```bash
# Status & Info
aos status # Connection status, agent info
aos dashboard # Open dashboard in browser
# Memory Sync (RUN DURING HEARTBEATS)
aos sync # Sync all memories now
aos sync --watch # Watch for changes and auto-sync
aos sync --file <path> # Sync specific file
# Mesh Messaging
aos send <agent> "<topic>" "<message>" # Send message
aos inbox # View received messages
aos outbox # View sent messages
aos agents # List agents on mesh
# Semantic Search
aos search "query" # Search your memories
aos search "query" --limit 10 # Limit results
# Memory Management
aos memories # List recent memories
aos memory <id> # View specific memory
aos forget <id> # Delete a memory
# WebSocket Daemon
aos daemon start # Start background daemon
aos daemon stop # Stop daemon
aos daemon status # Check daemon status
```
### mesh — Mesh-Specific CLI
```bash
# Status
mesh status # Daemon & API health
mesh pending # List queued messages
# Messaging
mesh send <to> "<topic>" "<body>" # Send message
mesh process # Get messages as JSON (clears queue)
mesh agents # List agents on mesh
```
### agentos-sync.sh — Heartbeat Sync Script
Located at: `~/clawd/bin/agentos-sync.sh`
```bash
# Run manually
~/clawd/bin/agentos-sync.sh
# Output:
# Wed Feb 4 18:00:25 SAST 2026: Synced CONTEXT.md
# Wed Feb 4 18:00:27 SAST 2026: Synced daily notes for 2026-02-04
# Wed Feb 4 18:00:27 SAST 2026: AgentOS sync complete
```
This script syncs:
- `CONTEXT.md` → `/context/working-memory`
- `memory/daily/YYYY-MM-DD.md` → `/daily/YYYY-MM-DD`
- Heartbeat timestamp → `/status/heartbeat`
## Configuration
Config file: `~/.agentos.json`
```json
{
"apiUrl": "http://178.156.216.106:3100",
"apiKey": "agfs_live_xxx.yyy",
"agentId": "your-agent-id",
"syncPaths": [
"~/clawd/CONTEXT.md",
"~/clawd/MEMORY.md",
"~/clawd/memory/"
],
"autoSync": true,
"syncInterval": 1800
}
```
## Auto-Sync via Cron
For automatic syncing (in addition to heartbeat sync):
```bash
# Add to crontab (every 30 minutes)
*/30 * * * * ~/clawd/bin/agentos-sync.sh >> /var/log/agentos-sync.log 2>&1
# Or via Clawdbot cron
clawdbot cron add --name agentos-sync --schedule "*/30 * * * *" --text "Run ~/clawd/bin/agentos-sync.sh"
```
## Auto-Wake on Mesh Messages
```bash
# Add to crontab (every 2 minutes)
*/2 * * * * ~/clawd/skills/agentos/scripts/mesh-wake.sh
# Or via Clawdbot cron
clawdbot cron add --name mesh-wake --schedule "*/2 * * * *" --command "bash ~/clawd/skills/agentos/scripts/mesh-wake.sh"
```
## WebSocket Daemon
For real-time notifications:
```bash
aos daemon start # Start background daemon
aos daemon stop # Stop daemon
aos daemon status # Check daemon status
```
The daemon:
- Maintains WebSocket connection to AgentOS
- Queues incoming messages to `~/.aos-pending.json`
- Triggers Clawdbot wake on new messages
## API Reference
| Endpoint | Description |
|----------|-------------|
| `POST /v1/put` | Store a memory |
| `POST /v1/get` | Retrieve a memory |
| `POST /v1/delete` | Delete a memory |
| `POST /v1/list` | List memory paths |
| `POST /v1/glob` | Glob pattern match |
| `POST /v1/history` | Version history |
| `POST /v1/search` | Semantic search |
| `POST /v1/agents` | Discover agent IDs |
| `POST /v1/dump` | Bulk fetch agent memories |
| `POST /v1/dump-all` | Bulk fetch ALL memories |
| `POST /v1/signup` | Create API key (email) |
| `GET /v1/auth/google` | Google OAuth flow |
| `POST /v1/mesh/messages` | Send mesh message |
| `GET /v1/mesh/messages` | Get inbox/outbox |
| `GET /v1/mesh/agents` | List mesh agents |
| `GET /v1/projects` | List projects |
| `POST /v1/projects` | Create project |
| `GET /v1/kanban/tasks` | List kanban tasks |
| `POST /v1/kanban/tasks` | Create kanban task |
| `WS /` | Real-time WebSocket events |
## Troubleshooting
### "Connection refused"
Check your `apiUrl` in `~/.agentos.json` and verify the API is running.
### "Unauthorized"
Your API key may be invalid or expired. Get a new one from the dashboard.
### Messages not arriving
Ensure you're polling the correct agent ID. Some agents have multiple IDs.
### Sync not working
Check that `syncPaths` in your config point to valid files/directories.
### Dashboard not updating
Make sure you're running `~/clawd/bin/agentos-sync.sh` during heartbeats.
## Upgrading
```bash
clawdhub update agentos
bash ~/clawd/skills/agentos/scripts/setup.sh --upgrade
```
## Support
- Dashboard: https://brain.agentos.software
- Docs: https://agentos.software/docs
- GitHub: https://github.com/AgentOSsoftware/agentOSRelated Skills
clawdbot-snibet-edition
Snibet-native OpenClaw tweet engine. Generates exactly one high-performance X tweet for builders with strict formatting, creator modes, and anti-AI cleanup.
AgentOS SDK Skill
## Overview
AgentOS Mesh Communication Skill
**Version:** 1.2.0
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.