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LangBot vs OpenClaw

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.

Last reviewed:

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.

LangBotOpenClaw
Natural-language controlTell the Workspace Assistant or an authorized agent what to change: routing, pipelines, replies, group actions; every write is confirmed or permission-gatedChat with your personal assistant to act for you
Try itcloud.langbot.app: sign up and use in the browser, no deploymentInstall and run on your own computer
ModelsLangBot Models built in (Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi and more), or any compatible APIBring your own model or agent harness (Claude, Codex, local models) as plugins
Set-up helpWorkspace Assistant configures pipelines, knowledge bases and bots after you confirmOnboarding wizard
APIs for your systemsHTTP Service API, MCP server, lbctl CLI and event webhooksNot listed in its README
Who it servesMany users: customers, communities, teamsOne owner: you
Where it runsServer, Docker, Kubernetes or LangBot CloudYour own computer, plus companion apps
AdminWeb panel for bots, pipelines, models, knowledge bases, pluginsOnboarding wizard and local dashboard
Group chats and access controlTriggers, allow/deny lists, rate limits per pipelineFocused on the owner's own conversations
Chinese IM (WeCom, Lark, DingTalk, QQ, WeChat)Built-in adaptersCheck OpenClaw's channel list
LicenceApache 2.0MIT

What LangBot gives you out of the box

  • No deployment: cloud.langbot.app

    Sign up and build a bot in your browser. Free plan, public URL included.

    cloud.langbot.app
    1. Sign up
    2. Pick a platform
    3. Bot online
    Details ›

    Sign up at 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

    Top models ready to use. No API key to apply for.

    • ClaudeClaude
    • OpenAIGPT
    • GeminiGemini
    • DeepSeekDeepSeek
    • QwenQwen
    • ZhipuGLM
    • KimiKimi
    • GrokGrok
    No API key needed
    Details ›

    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

    Say what should change. Agents and the assistant carry it out after you approve.

    In the support group, only answer when someone @mentions the bot, and welcome new members.
    Routing: reply on @mention
    group.member_joined → welcome
    Applied after you confirm
    Details ›

    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 the goal; review the proposed changes; confirm.

    Proposed changes

    • Create pipeline “Support”
    • Attach knowledge base “FAQ”
    • Bind to the WeCom bot
    Confirm
    Details ›

    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

    One set of operations behind HTTP, MCP, CLI and webhooks; agents get MCP, Skills, a sandbox and knowledge bases.

    One Workspace API

    HTTP APIMCP ServerlbctlWebhooks

    Agent tools

    MCPSkillsSandboxRAGEvents
    Details ›

    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

    Seven component types in an isolated runtime, with permissions you grant.

    Plugin Runtime · isolated process

    RunnerToolCommandEventListenerKnowledgeEngineParserPageCertified Plugins
    Details ›

    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 lists plugins, MCP servers and Skills, with reviewed Certified Plugins.

  • Open source, with official backing

    Apache 2.0, official hosting and enterprise support.

    Apache 2.0Free commercial useOfficial CloudEnterprise Support
    Details ›

    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.

Further reading

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.