LangBot vs Langflow

Short answer

LangBot: Platform for AI chatbots on WeChat, WeCom, QQ, Feishu, DingTalk, Slack, Discord and Telegram, run from one dashboard. Langflow: Visual builder for AI agents and RAG flows that you can deploy as APIs or MCP servers. Both are in our AI app & agent builders category.

Choose Langflow if you want: larger community (156k vs 18.7k GitHub stars) and simpler deploy (one container vs a multi-container stack).

LangBot publishes no official RAM figure, so we cannot compare hosting cost directly.

Last updated · computed from each project's official docs and live GitHub data · sources

LangBot vs Langflow side by side

LangBotLangflow
CategoryAI app & agent buildersAI app & agent builders
What it isPlatform for AI chatbots on WeChat, WeCom, QQ, Feishu, DingTalk, Slack, Discord and Telegram, run from one dashboard.Visual builder for AI agents and RAG flows that you can deploy as APIs or MCP servers.
LicenseApache-2.0MIT
License typePermissivePermissive
License conditionsPermissive. Internal and commercial use allowed; keep license and notices.Permissive. Internal and commercial use allowed; keep the copyright notice.
StatusActiveActive
GitHub stars18.7k156k
Last commitNov 4, 2026Nov 4, 2026
Latest releasev4.11.4v1.13.1
Minimum hardwareNot published1 vCPU · 1.5 GB RAM
Recommended hardwareNot published2 vCPU · 4 GB RAM
RAM measured by usNot tested yet1.2 GiB idle, 1.3 GiB working (our test, v1.12.7, Oct 22, 2026)
GPUNot required / not statedNot required / not stated
Est. server costNot estimatedfrom €11.99/mo (recommended spec: €19.99/mo)
Deploy methodDocker ComposeDocker
Known gotchas4 listed2 listed
TelemetryOn by defaultOn by default
Calls home by defaultYes, by defaultNot documented
SSO (OIDC / SAML / LDAP)Not documentedFree (OIDC free)
Audit logNot documentedYes, free
RBACYes, freeNo
DetailsFull LangBot guide →Full Langflow guide →

Key differences

  • License: LangBot: Apache-2.0 (Permissive). Langflow: MIT (Permissive).
  • Official hardware: LangBot: not published. Langflow: minimum 1 vCPU · 1.5 GB RAM (recommended 2 vCPU · 4 GB RAM).
  • Est. server cost: LangBot: not estimated (no official RAM figure). Langflow: from €11.99/mo.
  • Deploy: LangBot: Docker Compose · multi-container stack. Langflow: Docker · single container.
  • GitHub stars: LangBot: 18.7k. Langflow: 156k.
  • Latest release: LangBot: v4.11.4 (Oct 29, 2026). Langflow: v1.13.1 (Nov 4, 2026).

Same for both: Category: AI app & agent builders; GPU: not required or not stated; Status: Active; Last commit: Nov 4, 2026.

LangBot vs Langflow: FAQ

LangBot or Langflow: which should a small business choose?

Choose Langflow if you want: larger community (156k vs 18.7k GitHub stars) and simpler deploy (one container vs a multi-container stack). LangBot publishes no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, LangBot or Langflow?

LangBot: not estimated (no official RAM figure). Langflow: from €11.99/mo. Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.

How much hardware do LangBot and Langflow need?

LangBot: not published. Langflow: minimum 1 vCPU · 1.5 GB RAM (recommended 2 vCPU · 4 GB RAM).

What is the license difference between LangBot and Langflow?

LangBot: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. Langflow: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the copyright notice. This is a summary, not legal advice.

Is LangBot or Langflow more actively maintained?

LangBot: Active, last commit Nov 4, 2026. Langflow: Active, last commit Nov 4, 2026. GitHub data refreshed Nov 4, 2026.

Which is easier to deploy, LangBot or Langflow?

LangBot installs via Docker Compose (multi-container stack); Langflow via Docker (single container). LangBot lists 4 known gotchas and Langflow lists 2; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.