mbos-wolo 0.13.3

Minimal Python AI Agent Clone

Wolo

Wolo is a minimal Python AI agent CLI tool, similar to Claude Code or opencode. It supports multiple OpenAI-compatible LLM backends and provides a complete toolset for coding tasks.

Features

• Multi-Model Support: Works with any OpenAI-compatible API (OpenAI, Anthropic, DeepSeek, etc.)
• Rich Tool System: Built-in tools for shell commands, file operations, search, and more
• Session Management: Persistent sessions with resume capability
• MCP Integration: Extend capabilities via Model Context Protocol
• Token Compaction: Automatic context management for long sessions
• Path Safety: Configurable write protection for sensitive directories

Installation

One-Click Installation (Recommended)

Linux / macOS:

curl -sSL https://raw.githubusercontent.com/lzjever/wolo/main/scripts/install.sh | bash

Windows (PowerShell):

irm https://raw.githubusercontent.com/lzjever/wolo/main/scripts/install.ps1 | iex

Universal (Python):

python3 -c "$(curl -sSL https://raw.githubusercontent.com/lzjever/wolo/main/scripts/install.py)"

Installation Methods

The installer supports multiple methods:

• auto (default): Automatically selects the best method (uv if available, otherwise pip)
• uv: Uses the uv package manager for faster installation
• pip: Standard pip installation
• source: Installs from git source

# Specify installation method
WOLO_INSTALL_METHOD=uv bash <(curl -sSL https://raw.githubusercontent.com/lzjever/wolo/main/scripts/install.sh)

# Or using the Python installer
python3 <(curl -sSL https://raw.githubusercontent.com/lzjever/wolo/main/scripts/install.py) --method uv

Manual Installation

From PyPI:

# Using uv (recommended)
uv pip install mbos-wolo

# Or using pip
pip install mbos-wolo

From Source:

git clone https://github.com/lzjever/wolo.git
cd wolo

# Using uv
uv sync

# Or using pip
pip install -e .

Quick Start

# Execute a single task
wolo "fix the bug in main.py"

# Pipe context with prompt
git diff | wolo "write commit message"

# Start interactive session
wolo chat

# Resume a session
wolo -r <session-id>

# Wild mode (bypass safety checks/restrictions)
wolo --wild "run unrestricted task"

Configuration

Wolo can be configured via environment variables or config file.

Environment Variables (Recommended for Production):

export WOLO_API_KEY="your-api-key-here"
# or

Config File (Development):

wolo config init

The config file is stored at ~/.wolo/config.yaml:

endpoints:
  - name: default
    model: gpt-4
    api_base: https://api.openai.com/v1
    api_key: your-api-key

# Optional: Enable lexilux client for better compatibility
use_lexilux_client: true

# Optional: MCP server configuration
mcp:
  enabled: true
  servers:
    my-server:
      command: npx
      args: ["-y", "@my/mcp-server"]

Priority: Environment variables take precedence over config file (WOLO_API_KEY > config file).

Commands

Command	Description
wolo "prompt"	Execute a task
wolo chat	Start interactive REPL
wolo -r <id>	Resume session
wolo -l	List sessions
wolo -w <id>	Watch running session
wolo --wild "prompt"	Execute in wild mode (no safety checks)
wolo config show	Show configuration
wolo config docs	Configuration help

Built-in Tools

Tool	Description
shell	Execute shell commands
read	Read file contents
write	Write file contents
edit	Edit file by replacement
multiedit	Batch file edits
grep	Search file contents
glob	Find files by pattern
task	Spawn sub-agent
todowrite	Track task progress
question	Ask user questions
batch	Parallel tool execution
skill	Load custom skills

Development

# Install with dev dependencies
make dev-install

# Run tests
make test

# Run with coverage
make test-cov

# Lint and format
make lint
make format

# Build package
make build

Project Structure

wolo/
├── wolo/              # Main package
│   ├── agent.py       # Agent loop
│   ├── llm_adapter.py # LLM client (lexilux-based)
│   ├── session.py     # Session management
│   ├── tools.py       # Tool implementations
│   ├── cli/           # CLI subsystem
│   ├── compaction/    # Token compaction
│   └── mcp/           # MCP integration
├── tests/             # Test suite
├── docs/              # Documentation
└── pyproject.toml     # Project config

License

Apache-2.0

Contributing

See CONTRIBUTING.md for guidelines.