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AISH
Empower the Shell to think. Evolve Operations.


A Real AI Shell: Complete PTY + Configurable Security & Risk Control
Table of Contents
Why Choose AISH
- True Interactive Shell: Full PTY support, runs interactive programs like
vim / ssh / top
- AI Native Integration: Describe tasks in natural language, generate, explain and execute commands
- Secure & Controllable: AI commands have risk grading and confirmation flow; optional sandbox pre-run for change assessment
- Extensible: Skills plugin system with hot loading and priority override
- Low Migration Cost: Compatible with regular commands and workflows, everything in terminal by default
Feature Comparison
| 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 |
✅ |
Quick Start
1) Install and Launch
Option 1: One-line install (Recommended)
curl -fsSL https://www.aishell.ai/repo/install.sh | bash
Option 2: Manual bundle install
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.
2) Use Like a Regular Shell
aish> ls -la
aish> cd /etc
aish> vim hosts
3) Let AI Do the Work (Start with ;)
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
Installation
Linux Release Bundle
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.
Run from Source (Development/Trial)
cargo run --bin aish
Uninstallation
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
Configuration
Configuration File Location
- Default:
~/.config/aish/config.yaml (or $XDG_CONFIG_HOME/aish/config.yaml if XDG_CONFIG_HOME is set)
Priority (High to Low)
- Command-line arguments
- Environment variables
- Configuration file
Minimal Configuration Example
# ~/.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 in configuration:
enable_langfuse: true
- Set environment variables:
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.
Usage
| 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 |
Shell Compatibility (PTY)
aish> ssh user@host
aish> top
aish> vim /etc/hosts
Security & Risk Control
AI Shell only performs security assessment on AI-generated and ready-to-execute commands.
Risk Levels
- LOW: Allowed by default
- MEDIUM: Confirmation before execution
- HIGH: Blocked by default
Security Policy File Path
Policy files are resolved in this order:
~/.config/aish/security_policy.yaml (user-level; auto-generated template if not exists)
Sandbox Pre-run (Optional, Recommended for Production)
Default policy has sandbox pre-run disabled. To enable:
- Set in security policy:
global:
enable_sandbox: true
- Start privileged sandbox service (systemd):
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 (Plugins)
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/
Data & Privacy
This project stores the following data locally (for troubleshooting and traceability):
- Logs: Default
~/.config/aish/logs/aish.log
- Sessions/History: Default
~/.local/share/aish/sessions.db (SQLite)
- Large Output Offload: Default
~/.local/share/aish/offload/
Recommendations:
- Don’t commit real API keys to repository; prefer environment variables or secret management systems.
- Production environments can combine security policies to limit AI-accessible directory scope.
Documentation
- Configuration Guide:
CONFIGURATION.md
- Quick Start:
QUICKSTART.md
- Command Correction Mechanism:
docs/command-interaction-correction.md
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.
Development & Testing
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
Architecture (14 crates)
| 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 counting |
aish-security |
Security policy engine with glob-to-regex pattern matching |
aish-skills |
Skill plugin discovery with hot-reload via notify |
aish-memory |
Markdown-based long-term memory with relevance scoring |
aish-tools |
Built-in tools: bash, WebFetch, fs (read/write/edit), ask_user, memory, skill |
aish-scripts |
.aish script system with frontmatter, ai “prompt” syntax, hooks |
aish-shell |
Main shell: REPL loop, AI handler, built-in commands, animation |
aish-cli |
CLI entry point with clap derive macros |
Contributing
License
LICENSE (Apache 2.0)
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