devorch 0.3.0

Multi-provider AI coding assistant CLI with 13+ providers

DevOrch

A multi-provider AI coding assistant CLI — like Claude Code and Gemini CLI, but open source.

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DevOrch gives you a coding assistant in your terminal that can execute shell commands, edit files, search your codebase, manage terminal sessions, and remember context across conversations — powered by any of 13+ AI providers or your own local models.

Screenshots

Startup	Chat

Provider Selection	Model Selection

Tool Execution	Terminal Session

Why DevOrch?

• Provider freedom — Switch between OpenAI, Anthropic, Gemini, Mistral, Groq, and 8 more providers (including local models) with a single command. No vendor lock-in.
• Actually does things — Runs shell commands, edits files, manages background processes, searches the web. Not just a chatbot.
• Remembers you — Persistent memory system stores your preferences, project context, and feedback across conversations.
• Extensible — Add custom skills as YAML files, connect MCP servers for additional tools, configure permissions per-tool.

Quick Start

Install

# Recommended
pipx install devorch

# Or with pip
pip install devorch

# Or from source
git clone https://github.com/Amanbig/DevOrch.git
cd DevOrch && pip install -e .

Run

devorch                    # Interactive setup on first run
devorch -p openai          # Use a specific provider
devorch -p local           # Use Ollama (local models)
devorch --resume abc123    # Resume a previous session

# Non-interactive (scripting / CI)
devorch ask "explain this project"
devorch ask --skill commit
devorch run review "focus on security"
devorch edit src/auth.py "add input validation"

On first run, DevOrch walks you through provider selection and API key setup.

Features

13+ AI Providers

Cloud	Local / Self-Hosted
OpenAI (GPT-4o, o1)	Ollama (Llama, Mistral, CodeLlama)
Anthropic (Claude 4, 3.5)	LM Studio (any GGUF model)
Google Gemini (2.0, 1.5 Pro)	Custom (vLLM, TGI, llama.cpp)
Groq (ultra-fast Llama, Mixtral)
Mistral (Large, Codestral)
Together AI, OpenRouter, GitHub Copilot, DeepSeek, Kimi

Switch anytime with /providers (interactive) or /provider <name> (direct).

Built-in Tools

DevOrch can act on your system, not just talk about it:

Tool	What it does
shell	Execute commands (git status, npm install, etc.)
terminal_session	Managed background processes with optional GUI window
filesystem	Read, write, list files
search / grep	Find files and search contents
edit	Targeted find-and-replace edits
task	Track progress on multi-step work
memory	Persistent memory across conversations
websearch / webfetch	Search the web, fetch URLs

Memory System

DevOrch remembers context across conversations:

/remember I prefer TypeScript over JavaScript
/remember This project uses PostgreSQL, not MySQL
/memory                    # View all saved memories
/forget                    # Delete a memory interactively

Memory types: user (preferences), feedback (corrections), project (context), reference (external links).

Skills

Reusable prompt templates for common workflows. Use them in chat or directly from the CLI:

# In chat
/commit       # Generate a descriptive git commit
/review       # Review code changes for bugs
/test         # Run tests and analyze results
/fix          # Fix the last error
/explain      # Explain project structure
/simplify     # Simplify recent code changes

# From the terminal (non-interactive)
devorch run commit
devorch run review "focus on auth module"
devorch run test

devorch skills              # List all available skills

Add your own in ~/.devorch/skills/:

# ~/.devorch/skills/deploy.yaml
name: deploy
description: Deploy to production
prompt: |
  Run the deploy script and verify it succeeds.
  Check the deploy logs for any errors.

Terminal Sessions

Background processes that persist across DevOrch restarts:

# Headless — AI monitors output
> terminal_session start command="npm run dev"
  Session 'swift-fox-a3f2' started (PID 12345)

# With GUI — user gets a visible terminal, AI can still read output
> terminal_session start command="bash" gui=true
  Session 'calm-owl-b7e1' started in visible terminal

# Check output / send input / stop
> terminal_session read session_id="swift-fox-a3f2"
> terminal_session send session_id="swift-fox-a3f2" input="rs\n"
> terminal_session stop session_id="swift-fox-a3f2"

MCP (Model Context Protocol)

Extend DevOrch with external tool servers:

# ~/.devorch/config.yaml
mcp_servers:
  github:
    command: npx
    args: ["-y", "@modelcontextprotocol/server-github"]
    env:
      GITHUB_TOKEN: "ghp_xxx"
  filesystem:
    command: npx
    args: ["-y", "@modelcontextprotocol/server-filesystem", "/home/user"]

MCP tools appear alongside built-in tools automatically.

Manage MCP servers live in chat:

/mcp                          # Show connected servers and their tools
/mcp add github npx -y @modelcontextprotocol/server-github
/mcp start github             # Reconnect a server from config
/mcp stop github              # Disconnect and remove its tools

Filter MCP servers per CLI run:

devorch ask --mcp github "review open PRs"   # Use only the github server
devorch ask --mcp github --mcp filesystem "..."  # Use specific servers
devorch run commit --no-mcp                  # Skip MCP entirely

Modes

Mode	Behavior
ASK (default)	Asks permission before each tool execution
AUTO	Executes tools automatically (dangerous commands still blocked)
PLAN	Shows a plan before executing, asks for approval

Permission System

Fine-grained control over what DevOrch can do:

devorch permissions list                    # View current rules
devorch permissions set shell allow         # Always allow shell
devorch permissions allow shell "git *"     # Allow specific patterns
devorch permissions deny shell "rm -rf *"   # Block dangerous commands

Or use /auth in-chat to set API keys without restarting.

Non-Interactive CLI Commands

DevOrch works as a scriptable CLI too — no REPL needed:

# Ask a one-shot question
devorch ask "what does this codebase do?"
devorch ask --skill review "focus on security"
devorch ask --mode plan "refactor the auth module"

# Run a skill directly (shorthand for ask --skill)
devorch run commit
devorch run test "only unit tests"
devorch run review --no-mcp

# Edit a file with an instruction
devorch edit src/auth.py "add input validation to login"
devorch edit README.md "update the installation section"
devorch edit app/models.py "add created_at field" --mcp sqlite

# List available skills
devorch skills

All non-interactive commands support --provider, --model, --mode, --mcp, and --no-mcp.

All Slash Commands

Command	Description
/help	Show all commands
/models	Browse and switch models (interactive)
/model <name>	Switch model (partial match supported)
/providers	Browse and switch providers (interactive)
/provider <name>	Switch provider directly
/mode	Switch mode (Plan/Auto/Ask)
/status	Show current config
/auth [provider]	Set/update API key
/memory	Show saved memories
/remember <text>	Save to memory
/forget	Delete a memory
/skills	List available skills
/skill <name>	Run a skill
/commit /review /test /fix /explain /simplify	Skill shortcuts
/session	Session info
/history	Conversation history
/clear	Clear history
/compact	Summarize history
/save	Save to file
/undo	Undo last message
/mcp	Show MCP server status
/mcp add <name> <cmd> [args]	Connect a new MCP server mid-session
/mcp start <name>	Reconnect a server from config
/mcp stop <name>	Disconnect a server and remove its tools
/config	Show configuration
/permissions	Show permissions
/tasks	Show task list

Configuration

API Keys

# Secure keychain storage
devorch set-key openai
devorch set-key anthropic

# Or in-chat
/auth openai

# Or environment variables
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=...
export GROQ_API_KEY=gsk_...
export MISTRAL_API_KEY=...
export OPENROUTER_API_KEY=sk-or-...
export TOGETHER_API_KEY=...
export GITHUB_TOKEN=ghp_...
export DEEPSEEK_API_KEY=sk-...
export MOONSHOT_API_KEY=sk-...

Config File

# ~/.devorch/config.yaml
default_provider: openai

providers:
  openai:
    default_model: gpt-4o
  anthropic:
    default_model: claude-sonnet-4-20250514
  custom_vllm:
    default_model: meta-llama/Meta-Llama-3-70B-Instruct
    base_url: http://localhost:8000/v1

mcp_servers:
  github:
    command: npx
    args: ["-y", "@modelcontextprotocol/server-github"]
    env:
      GITHUB_TOKEN: "ghp_xxx"

Directory Layout

~/.devorch/
├── config.yaml          # Provider settings, MCP servers
├── permissions.yaml     # Tool permission rules
├── sessions.db          # Chat history (SQLite)
├── memory/              # Persistent memories
│   ├── MEMORY.md
│   └── *.md
├── skills/              # Custom skill definitions
│   └── *.yaml
└── sessions/            # Terminal session logs
    ├── registry.json
    └── *.log

Contributing

Contributions are welcome! Here's how to get started:

# Clone and install in development mode
git clone https://github.com/Amanbig/DevOrch.git
cd DevOrch
pip install -e ".[dev]"

# Run linting
ruff check .
ruff format .

# Run tests
pytest

Guidelines

• Run ruff check . and ruff format . before submitting
• Add tests for new features
• Keep PRs focused — one feature or fix per PR
• Update the README if adding user-facing features

Project Structure

DevOrch/
├── cli/
│   ├── main.py           # App wiring, REPL, sessions/config commands
│   ├── constants.py      # VERSION, banners, slash-command registry, styles
│   └── commands/
│       ├── _shared.py    # Shared helpers (agent builder, tool setup, etc.)
│       ├── ask.py        # devorch ask
│       ├── run.py        # devorch run
│       └── edit.py       # devorch edit
├── core/             # Agent, executor, memory, MCP, skills, modes
├── config/           # Settings, permissions
├── providers/        # AI provider implementations
├── tools/            # Built-in tools (shell, edit, search, etc.)
├── schemas/          # Pydantic models
├── utils/            # Logging, display helpers
└── tests/            # Test suite

Roadmap

• Streaming responses
• Multi-file context awareness
• Plugin marketplace
• VS Code extension
• Agent-to-agent delegation

Requirements

• Python 3.10+
• Works on Linux, macOS, and Windows

License

MIT

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Built by Aman — star the repo if you find it useful!