Agent Anywhere

Build it once. Run it everywhere.

Your users are in Slack, WhatsApp, CLI, and Telegram — not your editor. Same agent pack, every surface. Build in the IDE, serve from CLI, deploy to messaging channels via Gateway. One artifact, unified traces across all of them.

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› One pack, many runtimes

IDE

Build and iterate with full editor support, traces, and Spotlight analytics.

CLI serve

Run the same pack as an HTTP API. Automation, CI, and scripting.

Gateway channels

Slack, WhatsApp, Telegram, Discord. Same pack, routed through OpenClaw Gateway.

› Why every other approach fails

No fork per surface

One agent definition. Version it, test it, deploy it everywhere. No copy-paste across repos.

Traces across surfaces

Whether the agent ran in IDE, CLI, or Slack -- same trace format, same cost data, same dashboard.

Provider-neutral

Claude, Codex, ChatGPT, LiteLLM. Swap models without rewriting the agent.

Local-first, deploy when ready

Develop locally. When it works, push to Gateway. No cloud-first requirement.

› Agents in production need ongoing monitoring

An agent in Slack handles real users 24/7. Models drift, costs accumulate, behavior degrades. A subscription keeps your deployed agents healthy.

Cost alerts

Know when a channel agent exceeds its daily budget.

Unified trace history

Gateway traces and IDE traces in one local store. Every surface, one history.

Expert support

Priority help when a production agent misbehaves at 2 AM.

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