How does it identify new bugs?

Keywords: error, crash, bug, doesn't work, failed, exception. If found → requests details (logs, version, repro steps). Creates issue if sufficient context.

What if docs are incomplete?

Agent says: 'Not in docs. Might be a feature request? Open an issue on GitHub.' Over time, you fill docs gaps, agent learns from updates.

Can it answer in multiple languages?

Yes. If docs are English but question in Russian → agent translates answer or directs to English docs. Best if docs are multilingual.

How do I prevent it from being annoying?

Tone guide matters. Instruct: style (friendly, technical, formal), when to give full answer vs. just-a-link. Community will appreciate this.

Can it encourage contributors?

Softly. If someone gives good answers → agent can say: 'Great answer! Want to become a contributor?' + link to CONTRIBUTING.md.

How is this better than just a FAQ?

Real-time. FAQ is static. Slack/Discord with agent = living community, questions answered in minutes, people see each other, peer-support grows.

AI moderator for Slack/Discord communities

OSS community: answers in Slack/Discord in 3 seconds, not 3 days

Q: Can the agent moderate?

Soft-moderation yes. Can remove spam, warn off-topic or promotion. Hard decisions (mute, ban) → humans only.

The agent lives in your Slack or Discord server. Answers questions about your project (setup, usage, troubleshooting) from docs and GitHub issues. Recognises: spam, duplicate questions (links to old thread), off-topic (redirects), new bugs (creates GitHub issue). Moderates tone, helps newcomers. $19/mo.

Launch AI moderator for Slack/Discord communities

366k+⭐ OpenClaw on GitHub

<5minutes to launch

Sound familiar?

What's eating your time

Supporting OSS in Slack/Discord: maintainers waste hours answering the same questions

Questions get lost in massive message flow; no systematic archiving; good answers disappear

Bugs masked as help-questions; no auto-detection of new issues vs. FAQ repeats

New contributors afraid to ask; no friendly guide to channel rules and where to ask

Capabilities

What your AI agent can do

Answer from docs and GitHub

Agent reads your docs (README, wiki, API docs) and GitHub issues. Question 'How to install?' → searches docs → gives link and quick instructions.

Question type recognition

Classifies: FAQ (answer), Duplicate (links old thread), Bug-report (creates GitHub issue, links in Slack), Off-topic (soft redirect), Spam (silently removes).

Newcomer onboarding

When new user posts first message → agent sends welcome-guide: how to ask, where to find answers, how to file an issue. Friendly tone.

Bug-report flow

If question looks like a bug: requests logs, version, repro steps → gathers info → creates GitHub issue with full context.

Moderation and tone-check

Monitors spam, bad-faith links, off-topic promotion. Can soft-warn ('Check docs first') or hard-remove spam.

Works with your tools

Slack

Discord

GitHub

Google Docs

Notion

Linear

How it works

Get started in a few steps

Connect Slack/Discord and documentation

Add agent to Slack workspace or Discord server. Provide access to: docs (GitHub wiki, Notion, Readme), GitHub repo (issues, releases), FAQ/knowledge base.

User asks question in channel

In #general or #help, someone asks: 'How do I install on Windows?' Agent sees message, analyzes intent and complexity.

Agent responds, moderates, or creates issue

FAQ question → threaded answer. Duplicate → link to old thread. Bug → asks for details → creates GitHub issue. Spam → removes.

Improve documentation

Weekly: agent analyzes which questions repeat. Recommends: which FAQs to add to docs, which sections to expand, which examples to add.

Foster community

Agent identifies active helpers (who give good answers) → recommends as contributors. Encourages peer-support culture.

FAQ

Frequently asked questions

Soft-moderation yes. Can remove spam, warn off-topic or promotion. Hard decisions (mute, ban) → humans only.

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