Empower the Shell to think. Evolve Operations.
# Add to your Claude Code skills
git clone https://github.com/AI-Shell-Team/aishLast scanned: 5/22/2026
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}aish is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AI-Shell-Team. Empower the Shell to think. Evolve Operations. It has 522 GitHub stars.
Yes. aish passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/AI-Shell-Team/aish" and add it to your Claude Code skills directory (see the Installation section above).
aish is primarily written in Rust. It is open-source under AI-Shell-Team on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh aish against similar tools.
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Empower the Shell to think. Evolve Operations.

A Real AI Shell: Complete PTY + Configurable Security & Risk Control
vim / ssh / top| Feature | AISH | Claude Code |
|---|---|---|
| 🎯 Core Positioning | Ops/System Troubleshooting CLI | Development Coding Assistant |
| 🤖 Multi-Model Support | ✅ Fully Open | ⚠️ Mainly Claude |
| 🔧 Sub-Agent System | ✅ ReAct Diagnostic Agent | ✅ Multiple Agent Types |
| 🧩 Skills Support | ✅ Hot Loading | ✅ |
| 🖥️ Native Terminal Integration | ✅ Full PTY Support | ⚠️ Limited Support |
| 🛡️ Security Risk Assessment | ✅ Security Confirmation | ✅ Security Confirmation |
| 🌐 Local Model Support | ✅ Fully Supported | Fully Supported |
| 📁 File Operation Tools | ✅ Minimal Essential Suppport | ✅ Full Support |
| 💰 Completely Free | ✅ Open Source | ❌ Paid Service |
| 📊 Observability | ✅ Langfuse Optional | ⚠️ Built-in |
| 🌍 Multi-language Output | ✅ Auto Detection | ✅ |
curl -fsSL https://www.aishell.ai/repo/install.sh | bash
Download the matching aish-<version>-linux-<arch>.tar.gz bundle from the official release directory, then run:
tar -xzf aish-<version>-linux-<arch>.tar.gz
cd aish-<version>-linux-<arch>
sudo ./install.sh
Then launch:
aish
Note: aish without subcommands is equivalent to aish run.
aish> ls -la
aish> cd /etc
aish> vim hosts
Starting with ; or ; enters AI mode:
aish> ;find files larger than 100M in current directory and sort by size
aish> ;explain this command: tar -czf a.tgz ./dir
curl -fsSL https://www.aishell.ai/repo/install.sh | bash
The installer resolves the latest stable version, downloads the matching bundle for your architecture, and installs aish, aish-sandbox, and aish-uninstall into /usr/local/bin.
cargo run --bin aish
Uninstall (keep configuration files):
sudo aish-uninstall
Complete uninstallation (also removes system-level security policies):
sudo aish-uninstall --purge-config
Optional: Clean user-level configuration (will clear model/API keys etc.):
rm -rf ~/.config/aish
~/.config/aish/config.yaml (or $XDG_CONFIG_HOME/aish/config.yaml if XDG_CONFIG_HOME is set)# ~/.config/aish/config.yaml
model: openai/deepseek-chat
api_base: https://openrouter.ai/api/v1
api_key: your_api_key
Alternatively via environment variables (more suitable for secrets):
export AISH_MODEL="openai/deepseek-chat"
export AISH_API_BASE="https://openrouter.ai/api/v1"
export AISH_API_KEY="your_api_key"
Tip: LiteLLM also supports reading vendor-specific environment variables (e.g.,
OPENAI_API_KEY,ANTHROPIC_API_KEY).
Interactive configuration (optional):
aish setup
Tool calling compatibility check (confirm selected model/channel supports tool calling):
aish check-tool-support --model openai/deepseek-chat --api-base https://openrouter.ai/api/v1 --api-key your_api_key
Langfuse (optional observability):
enable_langfuse: true
export LANGFUSE_PUBLIC_KEY="..."
export LANGFUSE_SECRET_KEY="..."
export LANGFUSE_HOST="https://cloud.langfuse.com"
aish check-langfuse will run checks when check_langfuse.py exists in project root.
| Type | Example | Description |
|---|---|---|
| Shell Commands | ls -la, cd /path, git status |
Execute regular commands directly |
| AI Requests | ;how to check port usage, ;find files larger than 100M |
Enter AI mode with ;/; prefix |
| Built-in Commands | help, clear, exit, quit |
Shell built-in control commands |
| Model Switching | /model gpt-4 |
View or switch model |
aish> ssh user@host
aish> top
aish> vim /etc/hosts
AI Shell only performs security assessment on AI-generated and ready-to-execute commands.
Policy files are resolved in this order:
/etc/aish/security_policy.yaml (system-level)~/.config/aish/security_policy.yaml (user-level; auto-generated template if not exists)Default policy has sandbox pre-run disabled. To enable:
global:
enable_sandbox: true
sudo systemctl enable --now aish-sandbox.socket
Default socket: /run/aish/sandbox.sock.
When sandbox is unavailable, it will fallback according to sandbox_off_action (BLOCK/CONFIRM/ALLOW) in policy.
Skills extend AI's domain knowledge and workflows, supporting hot loading and priority override.
Default scan directories and priority:
~/.config/aish/skills/ (or $AISH_CONFIG_DIR/skills)~/.claude/skills/Packaged versions will attempt to copy system-level skills to user directory on first launch (e.g., /usr/share/aish/skills).
For more details, see: docs/skills-guide.md
This project stores the following data locally (for troubleshooting and traceability):
~/.config/aish/logs/aish.log~/.local/share/aish/sessions.db (SQLite)~/.local/share/aish/offload/Recommendations:
CONFIGURATION.mdQUICKSTART.mddocs/skills-guide.mddocs/command-interaction-correction.md| Link | Description |
|---|---|
| Official Website | Project homepage and more information |
| GitHub Repository | Source code and issue tracking |
| GitHub Issues | Bug reports |
| GitHub Discussions | Community discussions |
| Discord | Join the community |
| LINUX DO | Community friend link |
If you find AISH helpful, please consider giving us a Star ⭐ It helps more people discover the project and keeps us motivated to continue improving it.
This repository is now the Rust implementation of aish. The remaining Python scripts under packaging/scripts/ are release automation helpers and are covered by shell smoke tests.
# Build
cargo build --release
# Run Rust tests
cargo test --workspace
# Lint Rust code
cargo clippy --all-targets -- -D warnings
# Run packaging release script smoke tests
./packaging/tests/release_scripts_smoke.sh
| Crate | Description |
|---|---|
aish-core |
Error types, shared enums (RiskLevel, MemoryCategory, etc.) |
aish-config |
YAML config loading with XDG paths and env overrides |
aish-i18n |
Internationalization with 6 locales and embedded fallback |
aish-pty |
PTY executor with fork/exec, select()-based I/O, output offload |
aish-llm |
OpenAI-compatible HTTP client with SSE streaming and tool calling |
aish-session |
SQLite session persistence with WAL mode |
aish-context |
Sliding-window context manager with tiktoken token cou |