AI Infra2026DevelopmentInternal Tool
JARVIS Core v1.0
AI-Powered Development Automation
JARVIS Core is a self-hosted autonomous software engineering workflow system that orchestrates development tasks, automates code deployment pipelines, and scales for distributed enterprise operations. Built on OpenClaw as a self-hosted AI gateway with OpenRouter for unified multi-model LLM access, it integrates with GitHub, Vercel, Notion, Gmail, and VS Code via individual MCP (Model Context Protocol) servers — all containerized with Docker for portable, scalable deployment.
The Challenge
Why This Exists
Software engineering teams waste significant time on repetitive tasks — repo management, deployment, documentation updates, email triage, and cross-tool coordination — that could be orchestrated by autonomous AI agents with proper tool integration.
The Solution
How We Solved It
A layered autonomous platform with Chat Interface (Telegram/WhatsApp/Web) feeding into OpenClaw Gateway for model routing and agent orchestration. Three-tier model routing assigns specialized LLMs to different task types (planning, implementation, heavy SWE). MCP servers provide modular, independently-deployable integrations with external tools, all running in Docker containers on a Hostinger KVM-4 VPS.
Capabilities
What You Get
Multi-Model Agent Routing
Intelligent routing assigns Nemotron for planning, MiniMax for heavy SWE, and GLM for fast execution — optimizing cost and quality per task.
MCP Tool Integrations
GitHub, Vercel, Notion, Gmail, VS Code, and Browser integrations via Model Context Protocol for autonomous tool use.
Self-Hosted AI Gateway
OpenClaw provides a locally-controlled gateway for model management, reducing vendor lock-in and enabling custom routing logic.
Containerized Deployment
All services run in Docker with Compose orchestration, Git-versioned configs, and VPS snapshot rollback for safety.
Chat-First Interface
Telegram/WhatsApp/Web chat interface for natural-language task submission and status tracking.
Config-as-Code Model Routing
YAML-defined model configurations enable rapid switching, A/B testing, and cost optimization across LLM providers.
Interested in JARVIS Core v1.0?
We built this for a client — and we can build something just like it (or better) for you. Tell us what you need.
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