Pleng: Self-Hosted Cloud Platform with AI-Driven Infrastructure Management

Pleng is a self-hosted cloud platform driven by an AI agent designed to simplify infrastructure deployment and management. The tool addresses what the creator calls "localhost syndrome"—the friction of manually setting up VPS, Docker, Traefik, and SSL certificates that often prevents side projects from reaching production.
How It Works
You install Pleng with a single command on a fresh Ubuntu VPS. Instead of using a dashboard, you manage your entire infrastructure through a Telegram bot using natural language commands. For example, you can text the bot: "Deploy the main branch of this GitHub repo to mydomain.com" or "Why is my app crashing?". The AI agent then handles cloning, Docker containers, reverse proxy setup, SSL configuration, and log reading.
Security Architecture
The creator acknowledges the security concerns of giving an AI root server access. Pleng addresses this with strict isolation measures:
- The agent runs inside a heavily sandboxed Docker container
- It has NO access to the host machine, NO sudo privileges, and NO access to the Docker socket
- It can only affect infrastructure by calling a separate platform API over HTTP
- It uses a deterministic CLI tool under the hood that can deploy, restart, fetch logs, or read metrics, but cannot execute destructive commands like
rm -rf /
Current Features
- Deploy from GitHub (public or private repos) or local directories
- Automated Traefik routing with Let's Encrypt SSL certificates
- Built-in basic analytics for pageviews and visitors
- Automated backups, health monitoring, and log inspection directly in the chat interface
The tool is licensed under AGPL-3.0 and represents an early version built primarily to solve the creator's own deployment challenges. It's positioned as useful for indie hackers and developers who want to push projects to production with minimal friction.
📖 Read the full source: r/openclaw
👀 See Also

Creation OS: A Local σ-Gated LLM Runtime That Lets Models Say ‘I Don’t Know’ Instead of Hallucinating
Creation OS wraps local LLMs (BitNet, Qwen, Gemma, any GGUF) with a σ-gate that measures multiple uncertainty channels and decides ACCEPT, RETHINK, or ABSTAIN per output. No cloud, no API. TruthfulQA accuracy improved ~29% via selective regeneration.

Claude-File-Recovery: CLI tool extracts files from Claude Code session history
claude-file-recovery is a Python CLI tool and TUI that parses JSONL session transcripts from ~/.claude/projects/ to recover files created, modified, or read by Claude Code, including point-in-time recovery of earlier file versions.
Claude Code v2.1.238: keybindingFlavor, headersHelper, self-hosted runner fixes
Claude Code v2.1.238 adds keybindingFlavor=readline for Ctrl+W, headersHelper for plugin marketplaces, self-hosted runner flags for shutdown and proxy auth, plus numerous fixes.

Exploiting LLM Hidden Agency Signal (Â) for Better Tool Calling
A developer discovered that LLMs have a linearly separable hidden state direction called  that predicts tool calls with AUC > 0.94. Using this signal to force tool calls improved Qwen3-1.7B performance from 26.7% to 85% (+58% gain) and reduced no-tool failures from 43% to 2.6%.