🧠 BashBard

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.

💡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:

Start with /repair on + /dry on → explore safely

Trust the flow? → /repair auto for speed

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.

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}

BashBard

Links

README