SkyClaw: Rust AI Agent Runtime for Cloud VPS with Telegram Control
What SkyClaw Is
SkyClaw is an autonomous AI agent runtime written in Rust that's specifically designed for cloud deployment on VPS (Virtual Private Server) infrastructure. Unlike other "Claw" frameworks focused on local personal assistants, SkyClaw positions itself as a remote tool executor controlled exclusively through Telegram.
Technical Specifications
- Size: 6.9 MB static binary
- Architecture: Cloud-first, built for VPS deployment (no local machine running 24/7)
- Interface: Telegram-only - no gateway, WebSocket, or multi-channel routing
- Storage: SQLite database
- Dependencies: No containers, no runtime dependencies except Chrome
Core Capabilities
The agent can:
- Run shell commands
- Browse the web using headless Chrome
- Read and write files
- Fetch URLs
- Chain tools across multiple rounds until tasks are complete
Configuration & Security
- Zero config: Requires only one environment variable (bot token)
- API key setup: Paste API key in chat - auto-detects provider from key pattern, validates, saves
- Self-configuring: Can edit its own config file (e.g., "Switch to claude-opus-4-6")
- Auto-security: First user auto-whitelisted by numeric Telegram ID, everyone else blocked
AI Provider Support
Multi-provider support for Anthropic, OpenAI, and Gemini with hot-swap capability (no restart required).
Technical Stack
Built with Rust, Tokio, teloxide, axum, chromiumoxide, sqlx, and ChaCha20-Poly1305 encryption. The project uses a 13-crate workspace.
Comparison with Other Claw Frameworks
- OpenClaw: 400k lines, Node.js, 50+ channels, local-first, gateway daemon, documented security issues
- ZeroClaw: Rust, fast, trait-based, still gateway-centric and local-first with dozens of channel adapters
- NanoClaw: ~15 files, container isolation, Anthropic Agent SDK, Node.js, WhatsApp-centric, needs Docker
- PicoClaw: Go, runs on $10 hardware, edge/IoT focus, early stage
Development Approach
Built using Claude Code + Production Grade Plugin with an autonomous 13-skill development pipeline.
Use Cases
Use SkyClaw if you want one binary on a VPS controlled from Telegram with zero setup. The source suggests using other frameworks for different needs: OpenClaw for 50+ integrations, NanoClaw for container isolation, PicoClaw for edge hardware, and ZeroClaw for broad Rust agent infrastructure.
📖 Read the full source: r/openclaw
👀 See Also
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Repowise: Pre-computed codebase context for Claude Code cuts token usage and task time in half
Repowise indexes your codebase into four layers (dependency graph, git signals, doc wiki, ADRs) and exposes eight MCP tools to Claude Code, reducing a 30-file archaeology session to 5 MCP calls and 2 minutes.
Vyra: Intelligent Web Video Editor for Claude Agents via MCP
Vyra indexes footage so Claude can semantically search and edit video directly—supports motion graphics, music sync, smart masking, transcript editing, color grading, and 30+ effects.
Tendr Skill: Deterministic CLI Operations for Agent Memory Management
Tendr Skill is an Agent Skill that separates reasoning from execution for structured long-term memory, allowing agents to decide what needs changing while a CLI tool handles structural operations deterministically. It supports [[wikilinks]] and explicit semantic hierarchies across files.