⚠️ Official Repository
This is the official ClawWork project: https://github.com/clawwork-ai/clawwork
A copycat repository (ClawWorkAi/ClawWork) and website (clawworkai.store) have been found without proper attribution. Please be aware and use the official links above.
Official Website: https://clawwork-ai.github.io/ClawWork/
Why ClawWork
Agents are multiplying. The bottleneck is no longer capability — it's the operator surface.
As agent runtimes proliferate, users end up juggling sessions across chat windows, web UIs, and terminals, each with its own context and no shared memory. Just as IDEs became the operator layer for code and terminals for Unix, the Agent OS needs a workspace layer. ClawWork is building that layer — starting as the best-in-class client for OpenClaw, extensible toward a multi-runtime future.
Today: OpenClaw, without the chat-history mud
OpenClaw is powerful. Plain chat is a bad container for the kind of work it can do.
Once you have multiple sessions, long-running jobs, approval stops, generated files, recurring automation, and different gateways, chat history turns into mud. Status vanishes. Files vanish. Context vanishes.
ClawWork fixes that. Every task becomes a durable workspace with its own session, artifacts, controls, and history — laid out in a three-panel UI: tasks on the left, active work in the center, artifacts and context on the right.
Teams
One agent is useful. A coordinated team of agents is a workforce.
ClawWork Teams package multiple agents into a single deployable unit — roles, personalities, skills, and workflow included. A coordinator agent breaks down the task and delegates to worker agents, each running in its own sub-session. You see the full orchestration in real time.
skill → agent → team
Team structure
teams/clawwork-dev/
├── TEAM.md # team metadata and workflow
└── agents/
├── manager/ # coordinator — orchestrates the team
│ ├── IDENTITY.md # role and prompt
│ ├── SOUL.md # personality and style
│ └── skills.json # skill dependencies
├── architect/ # worker — designs solutions
├── frontend-dev/ # worker — builds UI
├── core-dev/ # worker — builds core logic
└── ...
Three ways to get a team
TeamsHub — browse and install community-contributed teams from a Git-native registry.
Create manually — define agents, identities, and skills in a step-by-step wizard.
AI Builder — describe what you need and let an LLM design the team structure, roles, and prompts for you.
Once installed, pick a team when creating a task. The coordinator takes over from there.
Download
Homebrew (macOS)
brew tap clawwork-ai/clawwork
brew install --cask clawwork
Releases
Prebuilt macOS, Windows, and Linux builds are available on the Releases page. The app updates itself — new versions download in the background and install when you quit.
PWA (browser)
No install required — open cpwa.pages.dev in any modern browser. Works on desktop and mobile, installable to your home screen.
Quick start
Start an OpenClaw Gateway.
Open ClawWork and add a gateway in Settings. Authenticate with a token, password, or pairing code. Default local endpoint: ws://127.0.0.1:18789.
Create a task, pick a gateway and agent, and describe the work.
Chat: send messages, attach images, @ files for context, or use / commands.
Follow the task as it runs, inspect tool activity, and keep the output files.
What you get
⚡ Task-first workflow
Parallel tasks with isolated OpenClaw sessions — archived tasks can be reopened later
Per-gateway session catalogs
Session controls that matter: stop, reset, compact, delete, and sync
Background work that stays readable instead of collapsing into one long thread
Set tasks on a schedule with cron, every, or at expressions — pick from presets or write your own, check run history, trigger manually anytime
Export any session as Markdown to keep a clean record outside the app
👁 Better visibility
Streaming responses in real time
Inline tool call cards while the agent works
Progress and artifacts in a side panel
See what you're spending — usage status per gateway, cost breakdown per session, 30-day rolling dashboard
🎛 Better control
Multi-gateway support
Per-task agent and model switching
Manage your agents directly — create, edit, delete, and browse their workspace files without leaving the app
Browse the full tools catalog for each gateway so you know what the agent can reach
Thinking level controls and slash commands
Approval prompts for sensitive exec actions
Get notified when things happen in the background — task completions, approval requests, gateway disconnects — click a notification and it jumps back to the task. Per-event toggles so you control the noise.
📂 Better file handling
Context that is actually useful: images, @ file references, voice input, watched folders
Point the app at up to 10 folders and it watches for changes, re-indexing automatically so your context stays fresh
Local artifact storage
Code blocks and remote images in assistant replies are auto-extracted and saved to your workspace — no manual copy-paste
Full-text search across tasks, messages, and artifacts
🖥 Better desktop ergonomics
System tray support
Quick-launch window with a global shortcut (Alt+Space by default, customizable)
Keyboard shortcuts throughout the app
The app updates itself in the background — you see progress in Settings and it installs on quit
Zoom in or out to your comfort level, and the app remembers your preference
Light and dark themes with 8 languages
🔧 Debugging
Export a debug bundle (logs, gateway status, sanitized config) when something goes wrong — useful for bug reports
See which Gateway server version you're connected to right in Settings
Data & architecture
ClawWork talks to OpenClaw through a single Gateway WebSocket connection. Each task gets its own session key for isolation, and everything lives in a local workspace directory you choose — no cloud sync, no external database.
Tasks — each one maps to an independent OpenClaw session, so parallel work never collides.
Messages — user, assistant, and system messages, including tool calls and image attachments, all persisted locally.
Artifacts — code blocks, images, and files the agent produces. Automatically extracted from assistant output so nothing gets lost.
Full-text search — search across all of the above. Find that one code snippet from three weeks ago without remembering which task it came from.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
