Orchestrate
Build, deploy, and manage collaborative AI agent teams for any purpose. Engineering, marketing, finance, operations. Define the mission, and AgentCrew handles the orchestration.
Settings
Generates LinkedIn posts with images and Slack alerts
Moderates survey responses and exports Excel reports
Reviews code on every Merge Request automatically
What is AgentCrew
AgentCrew is an open-source AI agent orchestrator. Just as N8N automates workflows regardless of the services involved, AgentCrew orchestrates AI agents regardless of their purpose. Define your team, describe their roles in plain text, deploy, and let them collaborate autonomously.
Purpose-Agnostic
Build teams for software engineering, marketing, finance, research, operations, or any domain. Agent specialization is driven by documentation, not code.
Documentation-Driven
Agents are defined by Markdown files with instructions, roles, and skills. Write what an agent should do, and it becomes that specialist. No code required.
Any Infrastructure
Deploy on Docker for local development or scale to Kubernetes in production. Your infrastructure, your rules.
One platform, any mission
AgentCrew handles the orchestration: team creation, deployment, communication, and monitoring. You focus on defining what your agents should accomplish.
Create Teams for Anything
Build agent teams for any domain: engineering, content creation, data analysis, customer support, legal review. Write Markdown instructions and deploy.
Leader + Workers
Define a leader agent that coordinates tasks and specialized workers that execute them. Like a real team, each agent has a clear role and expertise.
Scheduled Tasks
Automate recurring work with cron-based schedules. Define a prompt, pick a frequency, and AgentCrew deploys the team, executes the task, and records the results automatically.
Webhook Triggers
Trigger agent teams from external systems via HTTP webhooks. Use fire-and-forget or wait-for-response modes with secure token authentication.
MCP Servers
Connect agents to external tools via the Model Context Protocol. Databases, APIs, Kubernetes clusters, and more. Configure once, shared across the entire team.
Post-Actions
Reusable HTTP callbacks that fire automatically after webhook or schedule runs. Notify Slack, PagerDuty, or any API about execution results with template variables and retry logic.
See it in action
Real examples of how teams use AgentCrew to automate work and save hours every week.
Automated LinkedIn Content
An AI agent with deep knowledge of your company brand voice and goals. Using AgentCrew Schedules, it runs every Monday, Tuesday, and Friday at 9 AM — scanning industry news, evaluating content opportunities, and crafting LinkedIn posts. It generates custom images via the Freepik MCP and notifies your team on Slack when each post is ready for review.
Content Strategist (with Freepik MCP + Slack MCP)
Schedule (Mon, Tue, Fri at 09:00)
3 ready-to-publish LinkedIn posts per week with custom images and Slack notifications
Survey Response Moderator
An AI agent connected to your database via the PostgreSQL MCP. Through a daily AgentCrew Schedule, it analyzes all new survey responses — flagging inappropriate content, spam, and policy violations based on your business rules. It generates two Excel reports: flagged users with reasons, and validated clean responses.
Content Moderator (with PostgreSQL MCP)
Daily schedule (every day at configured time)
Daily moderation reports: flagged users + validated responses in Excel
AI QA Engineer
Triggered automatically when a Merge Request is opened in GitLab. A CI/CD pipeline calls the AgentCrew Webhook, invoking the agent to perform a comprehensive code review — checking quality, test coverage, duplicate code, security issues, and best practices. The agent posts its review as a comment directly on the Merge Request.
QA Engineer (with GitLab MCP)
Webhook (triggered by GitLab CI on MR open)
Automated code review comment on every MR within minutes
How it works
From zero to a running AI agent team in minutes. No complex setup required.
Define your team
Name your team, choose a leader, and add workers. Each agent gets a role, instructions, and optional skills, all defined in plain text.
Write the mission
Describe what each agent should do in Markdown. A marketing strategist, a data analyst, a code reviewer. Specialization comes from documentation.
Deploy
Click deploy. AgentCrew provisions a Docker network, NATS message bus, and starts the agent container automatically.
Chat & Monitor
Send tasks to your team through the chat interface. The leader delegates, workers execute, and you watch it all happen in real time.
Built with modern tech
Production-ready technologies chosen for performance, reliability, and developer experience.
System Architecture
A clean, event-driven architecture where agents communicate asynchronously through a central message bus.
Isolated Containers
Each agent runs in its own container with isolated file system and tools.
Full Observability
Stream logs, agent states, and task progress via WebSocket in real time.
Async by Design
NATS enables non-blocking, pub/sub communication between all agents.
Let's talk
Have questions about AgentCrew? Want to discuss how AI agent teams can help your organization? Get in touch.
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Build your first
agent team today
Open source, self-hosted, and running in one command. Define the mission, and AgentCrew handles the rest.
$ curl -fsSL https://agentcrew.sh/install.sh | bash