# AgentLed > Always-on AI workforce for small teams. AgentLed helps small teams delegate recurring business operations to an always-on AI workforce, without having to build and maintain automations themselves. ## Quick start npx @agentled/cli setup The setup command opens browser authentication, selects a workspace, scaffolds a workspace folder, connects the MCP server, installs the AgentLed skill, and checks the company profile. ## AgentLed discovery for machine clients - [Skill catalog (published skills only)](https://www.agentled.ai/en/skills) - [Machine-readable skill list](https://www.agentled.ai/skills.json) - [Try in AgentLed](https://www.agentled.ai/en/cli/install) The /skills.json catalog exposes only published/verified catalog entries and their package links. A skill catalog entry does not grant workspace access, credentials, or approval to send externally. ## Core pages - [Home](https://www.agentled.ai/en): Product overview - [What we solve](https://www.agentled.ai/en/what-we-solve): Business use cases - [Pricing](https://www.agentled.ai/en/pricing): Plans and credits - [Developers](https://www.agentled.ai/en/developers): MCP server, CLI, and API - [Blog](https://www.agentled.ai/en/blog): Guides and product articles - [AI VC Analyst](https://vc.agentled.ai): A supervised AI teammate for thesis-led sourcing, approved outreach, active-deal research, team review, and follow-through - [Developer partners](https://www.agentled.ai/en/developer-partners): Build repeatable agent packages ## Documentation - [Quick start](https://www.agentled.ai/en/docs/quick-start) - [CLI guide](https://www.agentled.ai/docs/cli.md) - [MCP guide](https://www.agentled.ai/docs/mcp.md) - [Agentic operations patterns](https://github.com/Agentled/agentic-ops) - [MCP server source](https://github.com/agentled/mcp-server) ## Core concepts - Persistent knowledge graph memory across executions - Human-controlled approval policies and observable execution history - One connection surface for multiple providers and AI models - White-label delivery for agencies and implementation partners - MCP and CLI access for coding agents ## Contact and policies - [Contact](https://www.agentled.ai/en/contact-us) - [Privacy](https://www.agentled.ai/en/privacy-policy) - [Terms](https://www.agentled.ai/en/terms-of-use) - [AI disclosure](https://www.agentled.ai/en/ai-disclosure) - [Sitemap](https://www.agentled.ai/sitemap.xml)