🧠 BashBard

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AI-Powered Shell Intelligence & Safety & Learning Layer

Think in any language. Learn Linux deeply. Execute safely. Never regret a command.

⚡Overview

BashBard is an AI-augmented terminal assistant that embeds Google Gemini intelligence directly into your Linux shell via a true PTY environment.

It transforms ambiguous intent into optimized, vetted bash commands, repairs failed executions in real time, and enforces proactive safety, all without leaving your terminal.

Designed for:

• Beginners learning Linux → Understand why commands work, not just memorize
• Developers writing scripts under pressure
• Sysadmins managing critical infrastructure
• Security engineers auditing and responding at speed
• DevOps teams automating with precision
• Power users who demand fluency and control

BashBard delivers smarter automation, zero-trust execution, context-aware correction, and interactive learning, all in your terminal.

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💡Why BashBard Exists: Safety + Education

The terminal is powerful and dangerous.
One typo = data loss. One bad curl | bash = compromise.

BashBard fixes this and teaches you along the way.

Pain Point	BashBard Solution
"What was that command again?"	/e find config files modified today → find /etc -type f -mtime -1 + explains each part
"I don’t understand the output"	AI breaks down results, flags risks, suggests next steps
"I typed gti instead of git"	Auto-corrects + teaches the difference
"I ran rm -rf / by mistake"	BLOCKS + explains: “This deletes root. Use /tmp instead.”
"I’m new to Linux"	Guides you step-by-step, builds muscle memory safely

“Your terminal, now with judgment and a teacher.”

Multilingual Input Support

BashBard understands natural language in any language including Arabic, English, French, Spanish, and more.

⚙️ Quick Start (30 Seconds)

BashBard ships with an automated installer that sets up everything for you.

curl -sSL https://github.com/5afagy/BashBard/raw/refs/heads/main/install.sh | bash && BashBard

One command. Zero hassle.
Installs, configures, and launches BashBard even on fresh systems.

What the installer does:

• Creates a dedicated virtual environment
• Installs dependencies from requirements.txt
• Prompts for your Google Gemini API key (on first run)
• Auto-generates .env at ~/.local/share/bashbard/.env
• Installs launcher to ~/.local/bin/BashBard

Example first-run output:

Configuring BashBard environment...
Installation complete.
Enter your Google Gemini API key: ??
Saved API key to /root/.local/share/bashbard/.env

Usage Examples

BashBard understands your intent, it’s not just syntax-aware, it’s context-aware.

Core Features

Feature	How to Use	Live Example
Natural Language → Command	/e <request>	/e list all .log files older than 7 days → find /var/log -name "*.log" -mtime +7
Auto-Repair (Interactive)	/repair on	gti status AI: Did you mean git status? [r]un / [e]dit / [c]ancel
Auto-Repair (Silent)	/repair auto	lsf → ls -F (runs automatically)
Disable Auto-Repair	/repair off	No AI fixes, default mode
Dry-Run Mode	/dry on	/e delete temp files Would execute: rm -rf /tmp/*
Dry-Run Status	/dry status	DRY-RUN: ENABLED
Quick Aliases	/alias basic	ll → ls -alF la → ls -A l → ls -CF
Replan on Failure	Choose [p]lan after error	docker run -p 80:80 app AI Plan: [1] docker pull app [2] docker run -p 8080:80 app
Universal Safety Gate	All commands (even typed)	rm -rf /home DANGEROUS: Targets root-owned path Why risky: irreversible data loss Proceed? [y/N]
Help & Exit	/help or /quit	Shows full command reference

Pro Workflow:

1. Start with /repair on + /dry on → explore safely
2. Trust the flow? → /repair auto for speed
3. Need full control? → /dry off + manual approval

⚙️ Advanced Features

• Context-aware auto-repair with re-planning (/repair auto)
• Intelligent output filtering for clean AI feedback
• Quick alias injection (/alias basic)
• Customizable dry-run, quiet, and auto-repair modes
• Built-in danger heuristics to prevent destructive actions

💡 Pro Tip: Run /repair on to let BashBard automatically fix simple typos like gti → git.

Technology Overview

BashBard is engineered with a modular architecture built on modern AI and system libraries.

Stack:

• Python 3.12+
• Google Gemini (default) via LangChain / LangGraph
• PTY shell system (using pty, termios, and fcntl)

Core engine: terminal.py runs the real-time AI terminal. CLI wrapper: cli.py decides mode (interactive, legacy, one-shot). LLM logic: llm.py, nodes.py, and safety.py handle intelligence and protection.

Future Roadmap

Feature	Description
Multi-model support	Gemini + OpenAI + local models (cost/latency balance)
Session memory	Retain context across commands, privacy-first
Offline mode	Run fully on-prem or air-gapped
Plugin API	Extend with Docker, K8s, AWS, pentest modules
Safe sandboxes	Test risky commands in isolation
Pentester mode	Evidence capture, checklists, exploit guidance
History intelligence	Auto-refactor repeated tasks
Explainability	Show prompt + reasoning for every suggestion
Team sync (opt-in)	Share policies, not data

All telemetry and cloud features are opt-in only.

🤝 How You Can Help (Open to Contributors)

BashBard is a community project, contributions are welcome. Ways to contribute:

• ⭐ Star & fork the repo
• 🐛 Open issues for bugs or improvement ideas
• ✍️ Submit pull requests (features, docs, tests)
• 💬 Join Discussions to propose roadmap items or plugins
• 🔒 Help with security reviews and safe execution patterns

Contribution guide: Fork → branch → PR → review. Keep changes focused and well-documented.

🌟 Contributors

👨‍💻 Authors & License

Authors: Khafagy & Elnaggar
Affiliated with: Cyber Force LLC
License: Apache 2.0

Built with ❤️ in Egypt — open to collaborators worldwide.

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BashBard: Intelligence Meets the Command Line.

View on GitHub • Wiki • Discussions

Star. Fork. Build. Secure.

curl -sSL https://github.com/5afagy/BashBard/raw/main/install.sh -o install.sh && bash install.sh && BashBard

_{Updated: November 11, 2025 04:15 PM EET • Cairo, Egypt}