Explore everything Agent Zero can do โ from its web UI to multi-agent cooperation, persistent memory, plugins, MCP, and more.
No command line required. Agent Zero runs a full web interface at localhost:50001 where you can chat, monitor agents, view memory, and manage settings.
Agent Zero can create sub-agents to tackle complex tasks in parallel. Like managing a team โ the main agent delegates, monitors, and synthesizes results.
Agent Zero's vector memory grows with every interaction. It remembers context, preferences, past tasks, and lessons learned โ across sessions.
Define custom skills that Agent Zero can load on demand. Skills are plain Markdown files describing how to perform a task โ the agent reads and follows them.
# Example: skills/deploy.md ## Deploy to Production 1. Run tests: npm test 2. Build: npm run build 3. Deploy: railway up 4. Verify health at /api/health Always check logs after deploy.
Agent Zero supports MCP servers โ a standard protocol for connecting AI models to external tools, databases, APIs, and services. Hundreds of pre-built integrations available.
Query databases, run migrations, analyze data
Manage issues, PRs, and project boards
Read, write, and organize cloud files
Connect to any HTTP API or web service
Add new capabilities to Agent Zero without touching the core framework. Plugins are Python modules that add new tools, behaviors, and integrations.
Run any bash/PowerShell command in the Docker container. Full terminal access.
Browse the web, scrape pages, fill forms, and extract content from URLs.
Write and execute Python code. Install packages with pip on the fly.
Send emails, read inboxes, manage attachments via Gmail or SMTP.
Create events, check availability, schedule meetings on Google Calendar.
Write Python plugins to connect any API or tool your workflow needs.
A2A (Agent-to-Agent) protocol lets separate Agent Zero instances communicate and delegate tasks to each other over the network.
Each team member runs their own Agent Zero. Agents collaborate on shared projects automatically.
Run resource-intensive tasks on a powerful remote machine via A2A delegation.
Create specialist agents (researcher, coder, writer) that the main agent can call on demand.