We’re excited to launch the official LangBot blog — a place for practical guides, architecture deep dives, release notes, and lessons from building AI bots that live where teams already communicate.
What is LangBot?
LangBot is an open-source, LLM-native platform for building and operating AI bots across Discord, Telegram, Slack, WeChat, LINE, Lark, DingTalk, QQ, and more.
Instead of rebuilding integrations for every chat platform, you can separate your system into three layers:
- Bots connect to messaging platforms.
- Pipelines define prompts, agents, RAG, tools, and business logic.
- Models connect GPT, Claude, Gemini, DeepSeek, Ollama, and other providers.
That separation lets you change a model without rewriting your Discord bot, or deploy one tested pipeline to several communities.
What we’ll publish
Expect four kinds of posts:
- Release notes with the engineering decisions behind each version
- Feature deep dives into Agents, RAG, MCP, plugins, and sandboxing
- Deployment guides for self-hosted and managed environments
- Field notes about security, observability, and multi-platform operations
Start here
If you’re building an AI assistant for a team, community, or customer channel, follow along. We’re just getting started.
Originally published on the LangBot Blog.
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