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# Add to your Claude Code skills
git clone https://github.com/AI-Shell-Team/aishLast scanned: 5/22/2026
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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 |