This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
LangBot 4.11 gives one bot several behaviors: messages, group mentions and new members each get a different agent. Put Dify, n8n, Claude Code or Codex behind a behavior, then see on sample data which agent an event would reach before you go live.
Hi Product Hunt, we build LangBot, an open-source platform for bots on Slack, Discord, Telegram, QQ, WeChat and other chat apps.
Most bots answer everything with one brain. In 4.11 a bot gets several behaviors instead: what to do when a message arrives, what to do when someone joins a group. Each behavior can use a different agent, so whoever answers product questions is not the one greeting newcomers.
What's new:
- Behaviors instead of one reply flow: send incoming messages and group joins to different agents.
- Bring your own agent: install Dify, n8n, Claude Code, Codex, Coze or WeKnora from the marketplace and use it as the runner behind a behavior.
- Check route: pick an event, see which behavior matches and which agent receives it, and why the others were skipped.
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About LangBot 4.11 on Product Hunt
“One bot, a different agent for every event”
LangBot 4.11 was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #139 on the daily leaderboard. LangBot 4.11 gives one bot several behaviors: messages, group mentions and new members each get a different agent. Put Dify, n8n, Claude Code or Codex behind a behavior, then see on sample data which agent an event would reach before you go live.
LangBot 4.11 was featured in Messaging (52k followers), Open Source (69k followers) and Artificial Intelligence (482.2k followers) on Product Hunt. Together, these topics include over 165.1k products, making this a competitive space to launch in.
Who hunted LangBot 4.11?
LangBot 4.11 was hunted by Rock Chin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how LangBot 4.11 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rock Chin
Hi Product Hunt, we build LangBot, an open-source platform for bots on Slack, Discord, Telegram, QQ, WeChat and other chat apps.
Most bots answer everything with one brain. In 4.11 a bot gets several behaviors instead: what to do when a message arrives, what to do when someone joins a group. Each behavior can use a different agent, so whoever answers product questions is not the one greeting newcomers.
What's new:
- Behaviors instead of one reply flow: send incoming messages and group joins to different agents.
- Bring your own agent: install Dify, n8n, Claude Code, Codex, Coze or WeKnora from the marketplace and use it as the runner behind a behavior.
- Check route: pick an event, see which behavior matches and which agent receives it, and why the others were skipped.
Try it at https://langbot.app/en. Which event would you hand to a second agent?