FastClaw
Use case · Teams

Internal AI agents for teams on Slack, Feishu and WeCom

Deploy shared AI agents inside the chat tools your team already uses. Self-hosted, with per-person sessions, shared skills and scheduled reports.

01

Lives where work happens

Bind agents to Slack, Feishu or WeCom. In group chats they answer when mentioned; in DMs each person gets a private thread.

02

Shared skills, private overlays

Admins install skills for the whole deployment. Each person can add their own skills and credentials on top without affecting others.

03

Read your team’s tools

Connectors let people link their own Notion, GitHub or Linear accounts so their agents can read from them in web chats.

04

Scheduled reports

Daily stand-up digests, weekly summaries or recurring checks run as cron jobs and post back into the channel.

05

Stays on your infrastructure

Run it on an internal server or Kubernetes with SQLite or Postgres. Conversations and memory stay in your own database.

An agent in the channel, not another tab

Most internal AI tools die because nobody opens them. FastClaw puts the agent in the place people already type: Slack, Feishu or WeCom. Feishu and WeCom bots can be created by scanning a QR code from the console, with no developer-portal setup.

See every supported platform on the channels page.

Built on shared knowledge

Give an agent a SOUL.md that describes your team's conventions, and install skills for the jobs you repeat: data analysis, translation, report writing, or anything you package as a SKILL.md. MCP servers plug in your internal APIs.

Runs on its own schedule

Ask an agent to post a summary every morning or check something every hour and it creates a cron job you can pause or delete from the console. Replies land back in the same channel.

Frequently asked questions

Try it on your own agents

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