vm0-ai / vm0
the easiest way to run natural language-described workflows automatically
AI Architecture Analysis
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Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Repository Overview (README excerpt)
Crawler viewNatural language Agent, 24/7 in cloud sandbox Documentation / Website / Discord runs natural language-described workflows automatically on schedule in remote sandbox environments. ā Star us on GitHub, it motivates us a lot! ā --- š„ What you GET ⢠**Just Claude Code**, zero abstraction, nothing new to learn ⢠**Cloud sandbox**, run Claude Code in isolated claude sandbox 24/7 ⢠**Skill Native**, Compatible with 35,738+ skills in skills.sh, and 70+ high quality SaaS integration skill like GitHub, Slack, Notion, Firecrawl, and more, ⢠**Persistence**, continue chat, resume, fork, and version your workflow sessions ⢠**Observability**, logs, metrics, and network visibility for every run š Quick Start From zero to workflow agent in 5 minutes š Showcase Onboard Agent Build š Architecture ⢠**Architecture Documentation** - Comprehensive technical reference covering sandbox technologies (Firecracker microVMs), infrastructure components and network architecture For user-facing guides and tutorials, visit docs.vm0.ai. š¤ Contribute ā Star History š License See LICENSE for details.