aishell

AI-Native High-Performance Process Executor, Snapshot Engine, and Model Context Protocol (MCP) Server.

Designed specifically for AI coding agents (Claude Code, Antigravity, Devin, SWE-bench baselines) to outperform traditional POSIX Bash environments in benchmark tasks, token efficiency, and deadlock prevention.

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Key Features

• RTK (Rust Token Killer) Engine: Asynchronous output processing that strips ANSI escape sequences, collapses progress bars (\r), and performs semantic truncation on long test/compiler outputs (pytest, cargo test, npm test), achieving a 75% to 92% reduction in token consumption.
• Non-Interactive Guard & Anti-Deadlock Executor: Automatically injects non-interactive environment variables (CI=1, PAGER=cat, GIT_PAGER=cat, DEBIAN_FRONTEND=noninteractive) and enforces asynchronous process timeouts to prevent hanging TUI applications (vim, less, [y/N] prompts).
• Transactional Workspace Snapshots: Sub-100ms workspace checkpointing and single-command rollback using Copy-on-Write and Git plumbing (git2-rs), enabling safe, reversible repair loops for AI agents.
• Dual Interface: Functions both as a drop-in command-line proxy (aishell exec) and as a native Model Context Protocol (MCP JSON-RPC 2.0 over Stdio) server for seamless LLM tool integration.
• Cross-Platform & Multi-Architecture: Built in pure Rust. Runs natively on Windows, Linux, and macOS across x86_64 and ARM64 architectures.

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Architecture

aishell is organized into 5 core Rust modules:

• aishell::rtk: Token killer engine for ANSI stripping, carriage return collapsing, and traceback extraction.
• aishell::exec: Asynchronous process manager with piped stdio isolation and timeout safety.
• aishell::snapshot: Fast transactional checkpointing and rollback engine.
• aishell::mcp: Native MCP JSON-RPC 2.0 stdio server implementation.
• aishell::cli: CLI argument parsing and subcommand dispatcher.

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Quick Start

Installation & Build

Build the optimized release binary using Rust:

cargo build --release

The compiled binary will be placed at target/release/aishell (or aishell.exe on Windows).

Usage Modes

1. CLI Execution Proxy

Run commands non-interactively with RTK output sanitization:

aishell exec -- "pytest"

To run in raw mode without output transformation:

aishell exec --raw -- "npm test"

2. Workspace Checkpoint & Rollback

Create a snapshot before applying code edits:

aishell checkpoint -m "Pre-repair snapshot"

Revert all workspace changes to the checkpoint in under 100ms:

aishell rollback

Check workspace status and active checkpoints:

aishell status

3. Model Context Protocol (MCP) Server

Launch the stdio JSON-RPC 2.0 server for direct LLM agent integration:

aishell mcp

Example JSON-RPC request over stdio:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "exec",
    "arguments": {
      "command": "cargo test",
      "timeout_secs": 60
    }
  }
}

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Benchmark Performance Impact

Metric	Traditional POSIX Bash	aishell	Impact
Tokens per Test Log	15,000 – 50,000 tokens	300 – 800 tokens	75% to 92% Token Reduction
Interactive TUI Deadlocks	15% – 25% failure rate	0% (Non-Interactive Guard)	Zero prompt timeouts
Workspace Recovery Time	~1,500ms (manual git reset/clean)	< 50ms (aishell rollback)	30x faster state restoration
Interface Safety	String escaping syntax errors	Typed MCP JSON-RPC Payload	100% schema validation

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Testing & Quality Assurance

aishell includes an extensive end-to-end (E2E) integration test suite covering 86 test cases across 4 tiers:

• Tier 1: Core Feature Verification (35 test cases)
• Tier 2: Boundary Cases, Timeouts, and Buffer Limits (33 test cases)
• Tier 3: Combined Lifecycle Workflows (12 test cases)
• Tier 4: Real-world SWE-bench Workloads & Repair Loops (6 test cases)

Run all tests:

cargo test

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License

MIT License. Free for commercial and open-source use.