ShibaClaw: Secure Self‑Hosted AI Agent for Founder Automation
From the repo · “🐕 Self-hosted security-first AI agent · 28 providers · 11 chat channels · WebUI · 3-level memory · task-schedule · automation · skills · MCP”
Create a custom AI agent from scratch
"A founder wants to automate the onboarding process for new customers by adding them to a Notion database and sending a welcome email. To set this up, they would install a self-hosted AI agent (like ShibaClaw), connect their Stripe webhook, and define a task to automate the Notion database updates and email sending. The outcome: automated onboarding for their customers without the need for manual intervention."
- •When you need a customized AI solution for your startup's specific security and automation requirements
- •When you want to integrate AI capabilities with your existing infrastructure and tools
- •When you require a high degree of control and flexibility in your AI agent's configuration and behavior
Add a new provider by running `python add_provider.py --name MyProvider --type MCP` and then configure it in the `config.json` file
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/shibaclaw && curl -fsSL https://workflowstacks.com/api/skills/shibaclaw/claude-skill -o ~/.claude/skills/shibaclaw/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
ShibaClaw: Secure Self‑Hosted AI Agent for Founder Automation is a very large Python project (~71k lines across 268 code files, plus 121 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2shibaclaw/__main__.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
- 4shibaclaw/__init__.pyInside shibaclaw/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/shibaclaw && curl -fsSL https://workflowstacks.com/api/skills/shibaclaw/claude-skill -o ~/.claude/skills/shibaclaw/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
AI Support Agent (Chat)
A chat agent that answers customer questions from YOUR business info — with conversation memory. It never invents policies; anything it doesn't know, it hands to a human.
MCP configMemory (knowledge graph) MCP config
Persistent memory across chats via a local knowledge graph.
Related skills
More mcp-server tools founders pair with this one.