mycode-cli 0.8.7

Minimal coding agent CLI and web UI built on mycode-sdk.

mycode

There are many coding agents, but this one is mine.

A minimal coding agent. Inspired by pi.

• Minimal agent core (< 5k lines) with multiple provider support and robust message replay.
• 4 built-in tools only (read, write, edit, bash), expanded via skills.
• Mobile-friendly web UI.
• Native image and pdf input support.

Quick Start

Requires Python 3.12+. Install via uv:

uv tool install mycode-cli

Interactive terminal UI:

mycode

Web UI (default at http://localhost:8000):

mycode web [--port <port>] [--hostname <hostname>]

Single message, non-interactive:

mycode run "explain how the session store works"

API keys are discovered automatically from environment variables (see Providers).

Providers

Provider	id	Env var
Anthropic	anthropic	ANTHROPIC_API_KEY
OpenAI	openai	OPENAI_API_KEY
Google Gemini	google	GEMINI_API_KEY
Moonshot	moonshotai	MOONSHOT_API_KEY
MiniMax	minimax	MINIMAX_API_KEY
DeepSeek	deepseek	DEEPSEEK_API_KEY
Z.AI	zai	ZAI_API_KEY
OpenRouter	openrouter	OPENROUTER_API_KEY
OpenAI-compatible	openai_chat	—

Run /model in tui to see the available models.

Configuration

A config file is optional — API keys from the environment are usually sufficient.

Create ~/.mycode/config.json (global) or .mycode/config.json under the current project to:

• set a default provider, model, and reasoning effort
• expose additional models on an existing provider (e.g. OpenRouter's catalog)
• register a custom endpoint, such as a private or regional deployment

{
  "default": {
    "provider": "anthropic",
    "model": "claude-sonnet-4-6",
    "reasoning_effort": "medium"
  },
  "providers": {
    "openrouter": {
      "models": {
        "deepseek/deepseek-v3.2": {},
        "xiaomi/mimo-v2-pro": {}
      }
    },
    "zhipu-coding-plan": {
      "type": "zai",
      "base_url": "https://open.bigmodel.cn/api/coding/paas/v4",
      "api_key": "${ZHIPU_API_KEY}"
    },
    "custom-provider": {
      "type": "openai_chat",
      "base_url": "https://custom-endpoint.com/v1",
      "api_key": "${CUSTOM_API_KEY}",
      "models": {
        "custom-model": {
          "context_window": 128000,
          "max_output_tokens": 16384,
          "supports_reasoning": true,
          "supports_image_input": false
        }
      }
    }
  }
}

• To override a built-in provider, reuse its id as the key — no type needed. Custom providers must declare a type — one of the built-in protocols.
• reasoning_effort controls extended thinking for supported models: auto (default) · none · low · medium · high · xhigh.
• API keys in config accept ${ENV_VAR} references.
• Model metadata is bundled from models.dev — {} is enough for most models. Provide explicit fields only for models not listed there.

Built-in Moonshot, MiniMax, and Z.AI providers default to international endpoints. Override base_url for China endpoints.

CLI Reference

mycode                            start interactive session (new)
mycode --continue                 resume the most recent session
mycode --session <id>             resume a specific session
mycode run "..."                  send one message, non-interactive
mycode web                        start web server (default port 8000)
mycode web --dev                  API only, no static files
mycode session list               list saved sessions

Interactive slash commands: /new /resume /rewind /provider /model /effort /clear /q

Development

git clone https://github.com/legibet/mycode.git && cd mycode
uv sync --dev
uv run mycode

Web development (backend + Vite dev server):

uv run mycode web --dev
pnpm --dir web install && pnpm --dir web dev

Or start both together:

just dev

Other useful shortcuts: just check · just test · just fmt

Build distributable artifacts:

uv build --package mycode-sdk
uv build --package mycode-cli

mycode-sdk

Agent core of mycode as a lightweight Python SDK for building custom agents. Install via: uv add mycode-sdk

from mycode import Agent, read_tool

agent = Agent(
    model="claude-sonnet-4-6",
    api_key="...",
    tools=[read_tool],
)

result = agent.run("Read pyproject.toml and tell me the project name.")
print(result.text)

See mycode/README.md for details.

License

MIT