The era of the always-on virtual private server is officially over.
Meet JARVIS, an ultra-autonomous, serverless AI agent framework. Engineered strictly inside GitHub Actions. No databases, no persistent VMs, no manual human-in-the-loop dependencies. Set, forget, and let automated workflows heal, build, and trigger self-maintaining pipelines.
Operational Cost
0$ Infrastructure
Pay only direct LLM tokens
Platform Trigger
GitHub Actions
Completely serverless cron
Modular Skills
121+ Cataloged
Instant Markdown prompts
Self-Healing
Continuous Auto-Patch
LLM evaluations and patches
Install with a Single Terminal Line
Deploying JARVIS is completely frictionless. We have packaged our multi-agent architecture into a direct script-based builder that connects natively to your secure repository layout.
Authentication Handshake: The installer asks for your secure GitHub Personal Access Token (PAT) with repository and workflow scopes.
Private Repository Initialization: JARVIS creates a new private, dedicated repository directly in your account to shield your workflows.
Automatic Agent Commit: The entire actions codebase, scheduling directory, and workflow secrets are committed securely and activated.
Need a GitHub Token? Click here to get one.
Direct Setup Bootstrap
Copy and paste this bootstrap command into your local terminal environment to trigger the self-healing installer.
Setup Execution Checklist
AUTOMATED DEPLOYMENTThe Modular Prompt Library
Every capability runs inside containerized, secure environments with built-in allow/block rules.
Deep Literature Synthesis
Parses Semantic Scholar searches and ArXiv files based on targeted keyword alerts, compiling synthesized markdown reports asynchronously.
On-Chain Activity Tracker
Queries Alchemy endpoints to track massive token movements, smart contract deployments, and liquidity trends in real-time.
Autonomous PR Reviews
Listens to repository issue label `ai-build`. Automatically pulls code differences, evaluates architecture, resolves conflicts, and designs PRs.
Venice AI Privacy Engine
Incorporate private local inference routing into active execution blocks. Bypasses persistent cloud storage metrics completely.
MCP Desktop Tool Exposer
Exposes the localized catalog of prompts as native Model Context Protocol (MCP) tools inside Claude Desktop or Claude Code interfaces.
DeFi Intel Synthesis
Auto-gathers decentralized pool data, volume metrics, and on-chain protocol upgrades, publishing a beautifully compiled brief daily.
Complex Skill Chaining (Pipeline Composition)
JARVIS supports parallel and sequential skill chaining configured directly via jarvis.yml. Configure one skill to execute and pass its output files directly as downstream context (State Passing), or run research and data collection in parallel before a synthesis skill consumes both outputs (Complex Workflows).
The Manifesto
Designed to eliminate human babysitting.
Most modern AI frameworks require expensive, persistent cloud servers and hours of manual supervision. If an API updates, they break. If a memory limit is reached, they crash.
JARVIS is engineered strictly under a zero-trust, absolute-autonomy paradigm. By executing native pipelines via Scheduled GitHub workflows, it manages state, triggers actions, integrates into chats, monitors security parameters, and heals its own system files asynchronously.
Sandbox Fallback Patterns (Bypassing GitHub Limits): To navigate strict runner constraints and prevent sandbox network blocks, JARVIS utilizes intelligent pre-fetching (caching authenticated APIs before Claude boots up) and post-processing (queuing background tasks like Discord notifications or Replicate API executions to dispatch immediately after the core LLM step finishes execution).
Zero-Server Orchestration
Runs inside containerized GitHub runners. Triggers on cron, repository events, webhooks, or platform integrations. No constant server fees, Docker compose bugs, or hosting setups.
Deep Chat Platform Links
Connect Telegram, Discord, and Slack via repository secrets. Live outbound & inbound polling allows you to interact with, command, and guide your active agent directly from your chat app.
Modular Markdown Skills
With over 121 modular skills cataloged as simple Markdown prompts, extending capabilities takes seconds. Built-in support for secure execution and vulnerability scanning on skill downloads.
Self-Healing Infrastructure
A built-in evaluation engine grades operations. If an output slips or an API fails continuously, JARVIS initiates diagnostic routines, writes updated repository code, and commits patches to repair itself.
The Mechanics of Absolute Independence
Under the hood, JARVIS replaces centralized cloud operations with clean, highly resilient, and modern protocols.
Platform Integrations
Premium two-way messaging with outbound reports & inbound control. Native integrations poll Slack, Telegram, and Discord using offset-based polling and reaction acknowledgments to command your active agent live directly from your chat app.
- Telegram: Bidirectional bot token control
- Discord: Incoming trackers & webhooks
- Slack: Bot scopes with history access
- Email: Structured dispatch via SendGrid
Gateways & Secure Protocols
Connect external systems cleanly with deep support for modern Agent-to-Agent communication protocols and security barriers.
- Fleet Watcher: Inline allow/block authorization
- MCP Integration: @json-render/mcp renders rich visual cards
- A2A Gateways: LangChain & AutoGen integration
- Safe Installs: Built-in vulnerability scanners
Core Operational Skills
Power complex operational pipelines that act immediately on triggers. Build complex intelligence reports, monitor trends, or run development scripts.
- Deep Research: RSS, literature, & systematic briefs
- Crypto Trackers: On-chain movements & market alerts
- Auton PR Build: Resolve issues labeled `ai-build`
- Custom Packs: Multi-agent prompt directory integration
How JARVIS Compares
A direct look at runtime efficiency, operational overhead, and persistence models compared to other heavyweight orchestration systems.
| Framework | Hosting Cost | Runtime Setup | Persistent Memory |
|---|---|---|---|
| JARVIS | $0.00 Base (Serverless) | GitHub Runner (On-Demand) | Git-Backed JSON/State |
| AutoGen | $30+/mo (VMs/Docker) | Continuous Python Process | Local DB / Disk |
| CrewAI | $20+/mo (Cloud VM) | Dockerized Container Stack | ChromaDB / Vector Local |
| n8n | $20+/mo (Self-Host/Cloud) | Node.js Express Server | PostgreSQL / SQLite |
| LangGraph | Variable (Cloud Server) | Python State Engine Server | LangMem / Redis |
Watch absolute autonomy in motion.
See how JARVIS responds autonomously to issues, evaluates output accuracy, and repairs its own code without manual oversight.
Click the buttons on the console to trigger agents and observe real-time simulated processes.
Ready to initiate workflow execution. Trigger an event using the control panel on the left.
jarvis-auth-host ~ waiting for dispatch input...
Detecting System Voices...
Loading localized neural speech synthesis directories from your browser storage...
SYNTHESIS MONITOR
"Systems ready. Select a voice below to preview synthesis."
Local Workspace Dashboard, Speech & MCP Interfaces
JARVIS integrates localized neural speech processing, interactive desktop UI controllers, and Model Context Protocol (MCP) bridges directly into your browser context, executing complex asynchronous task routines without persistent cloud upkeep.
JARVIS processes speech triggers natively on device. Audio streams are transcribed and parsed through hardware-accelerated speech synthesis and recognition engines, achieving sub-150ms execution loops without sending voice data to external servers.
Run a premium Next.js dashboard UI locally on localhost:5555. Modify briefs, manage credentials, and toggle skills on/off with full state-changing capacity. Benefit from native support for Model Context Protocol (MCP) server integration, specifically @json-render/mcp, rendering rich, interactive visual cards for your skills in real time.
elevenlabs.io API for hyper-realistic, dynamic custom neural system voices.
Interactive jarvis.yml Builder
Generate and download your custom autonomous configuration instantly. Just place it into your repository secrets and run.
1. Choose Communication Hubs
Select the channels where your JARVIS should talk, accept command inputs, or push alerts.
2. Enable Core System Skills
Equip your autonomous framework with the correct capabilities on build.
3. Setup Gateway Settings