Kilo Code CLI: Lightweight LLM Orchestrator f

Kilo Code CLI is the tool you reach for when a full coding agent is overkill. Most daily coding tasks — explaining a regex, generating a TypeScript interface, writing a docstring, translating a snippet — don’t need autonomous planning or multi-step execution. They need a fast, context-aware LLM call that returns structured output you can pipe into your workflow.

This guide covers installation, provider configuration, practical usage patterns, and where Kilo fits in a modern AI toolchain.

Why Kilo Exists

Full agents (Claude Code, Cursor, OpenCode, Hermes) carry overhead: they plan, maintain state, spawn tools, and recover from failures. For a quick question like “what does this regex do?” or “write a boilerplate React component,” that overhead is pure latency.

Kilo strips away the agent loop and keeps what matters:

Intelligent context gathering — automatically pulls relevant files, git diff, terminal output
Provider agnostic — OpenAI, Anthropic, Google, Groq, local via Ollama with a single flag
Structured output parsing — code blocks, shell commands, diffs ready for piping
Sub-100ms startup — no agent runtime to initialize

The Unix philosophy: do one thing well. Kilo is the grep of AI coding — instant, composable, always there.

Installation

# npm (recommended)
npm install -g @kilocode/cli

# or with bun
bun add -g @kilocode/cli

# or download binary from GitHub releases

Verify installation:

kilo --version
# kilo v7.x.x

Provider Configuration

Kilo needs an API key for at least one provider. Set it as an environment variable:

# Anthropic (Claude)
export ANTHROPIC_API_KEY="sk-ant-..."

# OpenAI
export OPENAI_API_KEY="sk-..."

# Google (Gemini)
export GOOGLE_API_KEY="..."

# Groq (fast, cheap)
export GROQ_API_KEY="..."

# Local via Ollama (no key needed)
# ollama serve must be running

You can also create a .kiloconfig in your project or home directory:

{
  "provider": "anthropic",
  "model": "claude-3-5-sonnet-20241022",
  "maxTokens": 8192,
  "temperature": 0.1
}

Switch providers on the fly:

kilo --provider openai --model gpt-4o "explain this function"
kilo --provider ollama --model codellama "write a test"

Daily Usage Patterns

Explain Code

kilo "explain the regex in utils/validate.ts"
kilo --files src/parser.ts "what does this parser do?"

Generate Boilerplate

kilo "create a React component for a data table with sorting and pagination"
kilo --output tsx "typescript interface for this JSON: {\"user\":{\"id\":1,\"name\":\"test\"}}"

Write Documentation

kilo --files src/api/*.ts "write JSDoc comments for all exported functions"
kilo "generate README section for the auth module"

Translate Between Languages

kilo --files script.py "convert this to TypeScript"
kilo "translate this SQL query to Prisma ORM syntax"

Quick Code Review

kilo --files $(git diff --name-only) "review these changes for bugs and style issues"
kilo --stdin < patch.diff "review this diff"

Generate Commands & Scripts

kilo "bash command to find all TODO comments and output as JSON"
kilo "git alias for 'commit with conventional message and push'"

Context Management

Kilo automatically gathers context from:

Open files in your editor (via LSP integration)
Git status — staged/unstaged changes, recent commits
Terminal history — last 50 lines of output
Directory structure — project layout, config files

You can explicitly include files:

kilo --files src/auth.ts,src/middleware.ts "review auth flow"
kilo --dir src/components "document all components"

Exclude noise:

kilo --exclude "*.test.ts,*.spec.ts,dist/**" "review production code"

Output Handling

Kilo parses model responses into structured formats:

Output Type	Use Case
Code blocks	Save directly to file: `kilo "component" > Component.tsx`
Shell commands	Pipe to bash: `kilo "command to..." \| bash`
Diffs	Apply with git: `kilo --diff "fix bug" \| git apply`
JSON	Parse with jq: `kilo --json "analyze deps" \| jq .`

Example workflow:

# Generate a component and save it
kilo "react form component with zod validation" > src/components/Form.tsx

# Get a command, review it, then run
kilo "find and kill process on port 3000"
# Output: lsof -ti:3000 | xargs kill -9
# Then run it manually or: kilo "..." | bash

When to Use Kilo vs Full Agents

Task Type	Use Kilo	Use Full Agent
Explain code	✅	Overkill
Generate boilerplate	✅	Overkill
Write docs/docstrings	✅	Overkill
Quick refactor (1-3 files)	✅	✅
Multi-step refactor (10+ files)	❌	✅
Scheduled/background tasks	❌	✅ (Hermes)
Autonomous debugging	❌	✅
Team workflow automation	❌	✅ (OpenCode skills)

Rule of thumb: If the task fits in a single prompt and returns in one shot → Kilo. If it needs planning, iteration, or state across steps → full agent.

Kilo in Your Toolchain

Kilo doesn’t have to be your only AI tool. A practical setup:

# ~/.bashrc or ~/.zshrc
alias k=kilo
alias kx='kilo --provider anthropic --model claude-3-5-sonnet-20241022'
alias kl='kilo --provider ollama --model codellama'

Kilo — 50+ times/day for micro-tasks
OpenCode/Hermes — weekly for heavy lifts
AGENTS.md — both read the same project conventions

See our AGENTS.md complete guide for setting up shared conventions.

Advanced Tips

Use with Local Models for Privacy

# Start Ollama
ollama serve

# Pull a coding model
ollama pull codellama:13b
ollama pull deepseek-coder:6.7b

# Use with Kilo (no data leaves your machine)
kilo --provider ollama --model codellama:13b "review this auth code"

Cost Optimization

Route simple tasks to cheap models, complex reasoning to strong ones:

# Cheap & fast for boilerplate
kilo --provider groq --model llama-3.1-8b-instant "generate boilerplate"

# Strong model for architecture decisions
kilo --provider anthropic --model claude-3-5-sonnet "design this API"

Integrate with Editors

VS Code extension: search “Kilo Code” in marketplace. Adds inline chat and context menu actions.

Limitations

Kilo intentionally does not:

Autonomously plan multi-step work
Maintain long-running task state across sessions
Self-recover from failed edits
Run background/cron jobs

These are tradeoffs, not bugs — they keep Kilo fast, predictable, and safe. For autonomous work, see our Hermes Agent deep dive or OpenCode deep dive.

Security

Kilo reads your files and holds provider keys. Apply the same practices from our coding agent security checklist:

Scope API keys tightly (per-project, read-only where possible)
Use local models for sensitive code
Review generated diffs before applying
Keep Kilo and dependencies updated

Kilo Code CLI: Lightweight LLM Orchestrator for Daily Development