agentcode-cli 1.3.1

An open, multi-model agentic coding CLI — inspired by Claude Code

AgentCode

An open, multi-model agentic coding assistant — available as a CLI and VS Code extension. Inspired by Claude Code.

Works with Claude, GPT, Gemini, and any model supported by LiteLLM.

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Choose your setup

Option A: CLI only

pip install agentcode-cli

Add your API key to a .env file in your project:

ANTHROPIC_API_KEY=sk-ant-...
OPENAI_API_KEY=sk-...        # optional
GEMINI_API_KEY=...           # optional

Run:

agentcode                        # interactive REPL
agentcode "fix the failing tests" # one-shot mode
agentcode --model gpt-4o         # use a specific model

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Option B: VS Code Extension

The extension requires the CLI installed as a backend. Install it first.

Step 1 — Install the CLI:

pip install agentcode-cli

Step 2 — Install the extension:

• Search AgentCode in the VS Code Marketplace and install, or
• Download agentcode-1.1.1.vsix from the GitHub releases page and install via Cmd+Shift+X → ... → Install from VSIX...

Step 3 — Add your API key: Cmd+, → search AgentCode → paste your key into agentcode.anthropicApiKey

Step 4 — Open the chat panel: Press Cmd+Shift+A

Extension settings

Setting	Description
agentcode.anthropicApiKey	Anthropic API key
agentcode.openaiApiKey	OpenAI API key
agentcode.geminiApiKey	Google Gemini API key
agentcode.model	Default model (e.g. claude-sonnet-4-6)
agentcode.executablePath	Path to agentcode if not on PATH
agentcode.inlineCompletions.enabled	Enable/disable inline completions (default: true)

Extension commands

Command	Shortcut	Description
AgentCode: Open	Cmd+Shift+A	Open the chat panel
AgentCode: Ask about selection	Right-click	Ask about highlighted code
AgentCode: Explain this file	Right-click	Explain the current file
AgentCode: Toggle inline completions	Command Palette	Enable or disable inline completions

Extension features

• Inline completions — AI-powered ghost-text suggestions as you type, powered by Claude Haiku. Press Tab to accept
• Live streaming — responses stream in real time
• Model picker — switch between Claude, GPT, and Gemini models from the dropdown in the header
• Active file context — your current file is sent automatically, no copy-pasting needed
• Diff viewer — edit tool calls open VS Code's native diff viewer so you can review changes before applying
• Right-click actions — ask about selected code or explain a file directly from the editor

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Supported Models

Provider	Model	API Key
Anthropic	claude-sonnet-4-6 (default)	ANTHROPIC_API_KEY
Anthropic	claude-opus-4-7	ANTHROPIC_API_KEY
Anthropic	claude-haiku-4-5-20251001	ANTHROPIC_API_KEY
OpenAI	gpt-4o, gpt-4o-mini, gpt-5.5	OPENAI_API_KEY
Google	gemini/gemini-2.5-pro, gemini/gemini-2.5-flash	GEMINI_API_KEY

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Cost-Aware Routing

AgentCode automatically picks the cheapest model that can handle the task:

Tier	Anthropic	OpenAI	Gemini
Light	Haiku 4.5	GPT-4o Mini	Gemini 2.0 Flash
Medium	Sonnet 4.6	GPT-4o	Gemini 2.5 Flash
Heavy	Opus 4.7	GPT-5.5	Gemini 2.5 Pro

Simple questions go to cheap/fast models. Complex multi-file tasks go to powerful ones. Use --no-route to always use the specified model.

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Tools

File & Shell

Tool	Description	Permission
read_file	Read file contents with line numbers	Auto
write_file	Create or overwrite a file	Ask
edit_file	Surgical find-and-replace edit	Ask
run_command	Execute a bash command	Ask
list_directory	Tree view of directory structure	Auto
search_files	Find files by glob pattern	Auto
search_text	Grep for text across files	Auto

Git

Tool	Description	Permission
git_status	Show working tree status	Auto
git_diff	Show staged or unstaged changes	Auto
git_log	Show recent commit history	Auto
git_commit	Stage files and create a commit	Ask
git_branch	List, create, or switch branches	Ask
git_push	Push commits to a remote	Ask

Subagents

Tool	Description	Permission
spawn_subagents	Run multiple agents in parallel on subtasks	Auto

Permission model: Read-only tools auto-approve. Write/execute tools ask before running (unless --auto-approve / -y is set).

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Slash Commands (CLI only)

Command	Description
/model <name>	Switch model on the fly
/route	Show or toggle cost-aware routing
/cost	Show session cost breakdown
/mcp	Manage MCP server connections
/mcp list	Show connected servers
/mcp add <server>	Connect a server
/mcp remove <server>	Disconnect a server
/clear	Reset conversation and delete saved session
/compact	Force LLM-powered context compaction
/tokens	Show estimated token usage
/init	Create an AGENTCODE.md template
/settings	Show resolved settings
/help	Show help
/exit	Quit

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Session Persistence

Conversations are automatically saved to .agentcode_session.json in your project directory and resumed on next launch. Use /clear to start fresh.

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MCP Support (CLI only)

Connect to any MCP server using /mcp add:

/mcp add github       # prompts for GitHub token
/mcp add filesystem   # no credentials needed
/mcp add postgres     # prompts for connection string
/mcp add sqlite       # prompts for database path

Config is saved to .agentcode/mcp.json and reloaded on next launch.

Advanced — edit .agentcode/mcp.json directly for custom servers:

{
  "mcpServers": {
    "my-server": {
      "command": "npx",
      "args": ["-y", "@myorg/mcp-server"],
      "env": {"API_KEY": "..."}
    }
  }
}

Global config goes in ~/.agentcode/mcp.json.

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Hooks

Run shell commands before or after any tool call. Create .agentcode/hooks.json:

{
  "post_edit_file": "prettier --write \"$AGENTCODE_PATH\"",
  "post_write_file": "prettier --write \"$AGENTCODE_PATH\"",
  "pre_run_command": "echo \"Running: $AGENTCODE_COMMAND\""
}

Supported keys: pre_<toolname>, post_<toolname>, pre_tool / post_tool (wildcard). Global hooks go in ~/.agentcode/hooks.json.

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AGENTCODE.md

AgentCode loads project instructions from AGENTCODE.md in your project directory and injects them into the system prompt automatically. Run /init to generate a starter template.

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Subagents

AgentCode can spawn parallel agents for independent subtasks:

"Analyze agent.py, router.py, and tools.py in parallel and summarize each one"

The agent calls spawn_subagents internally, runs up to 5 agents in parallel, and returns combined results.

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Architecture

┌─────────────────────────────────────────────────┐
│                  cli.py (UI)                    │
│  REPL loop · slash commands · Rich terminal UI  │
│  AGENTCODE.md · session persistence             │
└──────────────────────┬──────────────────────────┘
                       │
┌──────────────────────▼──────────────────────────┐
│               agent.py (Brain)                  │
│  Agentic loop · context management · permissions│
│  Hooks · subagents · LLM-powered compaction     │
│                                                 │
│   while needs_follow_up:                        │
│     1. Send messages + tools → LLM              │
│     2. If tool_calls → execute, append, loop    │
│     3. If text only  → done                     │
│                                                 │
│   LiteLLM ──→ Claude / GPT / Gemini             │
└──────────────────────┬──────────────────────────┘
                       │
          ┌────────────┴────────────┐
          │                         │
┌─────────▼───────────┐   ┌─────────▼───────────┐
│    tools.py (Hands) │   │  mcp_client.py       │
│  read_file          │   │  Connect to MCP      │
│  write_file         │   │  servers and expose  │
│  edit_file          │   │  their tools to the  │
│  run_command        │   │  agent loop.         │
│  list_directory     │   └─────────────────────┘
│  search_files       │
│  search_text        │
│  git_status/diff    │
│  git_log/commit     │
│  git_branch/push    │
│  spawn_subagents    │
└─────────────────────┘

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Environment Variables

Variable	Description	Default
AGENTCODE_MODEL	Default model	claude-sonnet-4-6
AGENTCODE_MAX_ITERATIONS	Max tool-call iterations per turn	25
ANTHROPIC_API_KEY	Anthropic API key	—
OPENAI_API_KEY	OpenAI API key	—
GEMINI_API_KEY	Google Gemini API key	—

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How to Extend

Add a new tool

1. Add the function schema to TOOL_DEFINITIONS in tools.py
2. Implement the function
3. Register it in TOOL_MAP
4. If it requires approval, omit it from permissions.auto_approve in .agentcode/settings.json

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Publishing to PyPI

pip install build twine
python -m build
twine upload dist/*

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License

MIT