AnythingLLM: Build Local‑First AI Agents with 66k+ GitHub Stars
Run a powerful local AI agent on your own computer without renting intelligence.
"A solo developer builds a customer onboarding system by using AnythingLLM to integrate Stripe with Notion and Resend. They train the AI model on company data to personalize the onboarding process. The agent creates new customer profiles, sends welcome emails, and adds relevant tasks to their project."
- •When you need to automate tasks with AI while keeping your data private
- •When you want to integrate AI capabilities into your local applications without relying on external APIs
- •When you need a customizable AI solution that can be tailored to your specific business needs
node agent.js --prompt 'What are the potential applications of local-first AI agents in the enterprise?'
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/anything-llm && curl -fsSL https://workflowstacks.com/api/skills/anything-llm/claude-skill -o ~/.claude/skills/anything-llm/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
AnythingLLM: Build Local‑First AI Agents with 66k+ GitHub Stars is a very large JavaScript project (~243k lines across 1236 code files, plus 37 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, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2server/index.jsWhere the program starts running
- 3package.jsonDependencies and the commands it exposes
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/anything-llm && curl -fsSL https://workflowstacks.com/api/skills/anything-llm/claude-skill -o ~/.claude/skills/anything-llm/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.
Personalize your cold emails at scale
You keep prospects in a Google Sheet with a note about each. The workflow writes a specific one-line opener per prospect and scores it 1–5, so you can send the strong ones and fix the weak ones.
MCP configGitHub MCP config
Search repos, read code, open issues and PRs from Claude.
Outcome guideRecover abandoned carts with personalized emails
Export abandoned carts to a Google Sheet and the workflow drafts a warm, specific win-back email for each — referencing the actual product, without desperate discount-spam. You review and send.
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