# LangBot vs OpenClaw

Source: https://langbot.app/en/compare/langbot-vs-openclaw · Last reviewed: 2026-11-11

OpenClaw is a personal AI assistant that runs on your own computer. LangBot runs AI agents that serve a team's customers and members in chat apps. Compare purpose, users, platforms and deployment.

## In short

They solve different problems. OpenClaw is a personal assistant: it runs on your own devices and acts for you across your chat apps. LangBot is a service bot platform: its agents serve many people at once, such as customers, community members or a team, with per-pipeline rules, access control and a web admin panel.

| | LangBot | OpenClaw |
| --- | --- | --- |
| Natural-language control | Tell the Workspace Assistant or an authorized agent what to change: routing, pipelines, replies, group actions; every write is confirmed or permission-gated | Chat with your personal assistant to act for you |
| Try it | cloud.langbot.app: sign up and use in the browser, no deployment | Install and run on your own computer |
| Models | LangBot Models built in (Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi and more), or any compatible API | Bring your own model or agent harness (Claude, Codex, local models) as plugins |
| Set-up help | Workspace Assistant configures pipelines, knowledge bases and bots after you confirm | Onboarding wizard |
| APIs for your systems | HTTP Service API, MCP server, lbctl CLI and event webhooks | Not listed in its README |
| Who it serves | Many users: customers, communities, teams | One owner: you |
| Where it runs | Server, Docker, Kubernetes or LangBot Cloud | Your own computer, plus companion apps |
| Admin | Web panel for bots, pipelines, models, knowledge bases, plugins | Onboarding wizard and local dashboard |
| Group chats and access control | Triggers, allow/deny lists, rate limits per pipeline | Focused on the owner's own conversations |
| Chinese IM (WeCom, Lark, DingTalk, QQ, WeChat) | Built-in adapters | Check OpenClaw's channel list |
| Licence | Apache 2.0 | MIT |

## What LangBot gives you out of the box

### No deployment: cloud.langbot.app

Sign up at [cloud.langbot.app](https://cloud.langbot.app) and build a bot in the browser with a setup wizard. There is a free plan, the public HTTPS URL webhook platforms need is included, and a Dedicated environment is available for production. Self-hosting stays free and unlimited.

### Official model service: LangBot Models

Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi, Grok and more, plus embedding, rerank and speech models, with no model API key to obtain. Cloud plans include monthly credits; self-hosted instances signed in with a LangBot Space account get the models added automatically with a free starter quota. Your own API keys keep working alongside.

### Control your bots in natural language

Agents, a unified API and standard platform events and APIs work together. Every Workspace operation (bots, routing, pipelines, models, knowledge bases, monitoring) is one catalog shared by the HTTP API, the MCP server, the Workspace Assistant and plugins, and adapters expose standard platform APIs such as send, reply, edit and recall messages, query groups and members, and, where the platform allows, mute or remove members. So you can change how a bot behaves by telling the Workspace Assistant, or let an authorized agent act on the platform from a chat instruction. Writes need your confirmation or an explicit permission grant.

### Workspace Assistant

Describe what you want in plain language. The assistant inspects your existing models, knowledge bases and pipelines, proposes a configuration and applies it only after you confirm each change.

### Rich APIs and flexible tools

An HTTP Service API with API keys, LangBot's own MCP server, the `lbctl` CLI and outgoing event webhooks for your systems. Agents can use MCP tools (stdio and HTTP), Skills, a code sandbox (Docker, nsjail or E2B), knowledge bases with rerank, and platform events such as member joins, reactions and card clicks.

### Rich, stable plugin interfaces

Plugins run in a separate Plugin Runtime process and are hot-pluggable. The Python SDK offers Runner, Tool, Command, EventListener, KnowledgeEngine, Parser and Page components, and a Workspace API whose operations a plugin must declare and a member must grant. The [LangBot Space marketplace](https://space.langbot.app/market) lists plugins, MCP servers and Skills, with reviewed Certified Plugins.

### Open source, with official backing

Apache 2.0 with free commercial use, an official managed service, and optional Enterprise Support with contracts and invoices.

## Choose OpenClaw when

You want an assistant for yourself that can act on your own machine and accounts.

## Choose LangBot when

- The bot answers other people: customer support, community Q&A, an internal help desk.
- You need several bots and pipelines, team members with roles, monitoring and a knowledge base.
- Your users are on WeCom, Lark, DingTalk, QQ or WeChat as well as Slack, Discord or Telegram.

LangBot can also run external agents as runners, so the two are not exclusive.

## FAQ

### Is LangBot a personal assistant?

No. LangBot is a service bot platform: its agents serve a team's customers and members inside the chat apps they already use.

## Further reading

- [OpenClaw](https://openclaw.ai)
- [OpenClaw on GitHub](https://github.com/openclaw/openclaw)