MagiCrew

MagiCrew is an enterprise-grade open-source AI Agent platform positioned to enable every team member to deploy a dedicated AI digital employee to execute real tasks, not just chat. The platform emphasizes "beyond chat—real execution," with the core goal of helping individuals and teams achieve "one person's cost, a hundred people's output."

Key capabilities

• Digital employee marketplace: encapsulate ERP, CRM, and business knowledge into reusable AI digital employees, build once and deploy company-wide.
• Super deliverable output: AI results can be directly transformed into deliverable PPTs, data dashboards, professional reports, Excel files, and more, rather than remaining as plain-text drafts.
• Multi-agent collaboration: an orchestrator Agent schedules specialized Agents to work in parallel, achieving precise division of labor and doubled efficiency.
• Enterprise-grade governance: provides three-tier budget control, human approval for high-risk operations, and proprietary sandbox isolation.
• Cost visibility: track AI invocation costs by department, user, and task, with every expense fully attributable.
• Ecosystem integration: define custom skills through conversation and the Skill Creator, compatible with the Anthropic / OpenClaw Skills ecosystems, with skill assets ready to use out of the box.

Seven enterprise-grade core capabilities

1. Enterprise knowledge encapsulation: deeply encapsulate fragmented internal systems (ERP/CRM/databases) and business expertise into AI digital employees accessible to all employees, transforming scattered API calls into reusable enterprise digital assets.
2. Deliverable-grade output: through the underlying rendering framework, directly convert AI results into "super deliverables"—PPTs, data dashboards, meeting summaries, professional reports, Excel, and an infinite canvas—ready for immediate business use.
3. Enterprise-grade security and compliance: each Agent runs in a sandbox container, in an independent VPC from the main system, connected via private endpoints, blocking unauthorized access at the foundational level; a sidecar network proxy independently manages traffic for each user, achieving complete resource and data isolation across tenants; strict plugin security review intercepts malicious code before listing.
4. Human-machine approval loop: an approval process is triggered when AI attempts high-risk operations. AI can autonomously complete safe operations, but high-risk actions such as deleting data or sending emails require human confirmation, ensuring decision-making authority always remains in human hands.
5. Fine-grained cost control: provides an enterprise cost compass to precisely control the daily budget of each department, user, and Agent, making AI spending 100% predictable and controllable.
6. Organization-level collaboration: multiple people share the samemodules, each responsible for different modules advancing in parallel, with results visible in real time; AI experts can join newcomers' projects to provide help, and experience naturally accumulates through projects and is amplified within the team.
7. Open ecosystem compatibility: fully compatible with the Anthropic Skills ecosystem and the OpenClaw Skills ecosystem, existing tools and skills can be directly reused with zero migration cost; define and build custom skills through Skill Creator in a conversational manner.

How to use

• Open-source deployment: fully open source, licensed under Apache 2.0. Complete data sovereignty, customizable, suitable for enterprises and developers with technical teams.
• Ready to use out of the box: no deployment required, directly use the cloud version, register to immediately experience the full enterprise AI Agent capabilities.
• Additionally provides private deployment, dedicated model integration, and deep business system integration to meet the compliance and security requirements of large enterprises.