klaatcode
Open-source AI coding agent for the terminal. Claude Code-grade accuracy with smart model routing — uses the right AI model for each task, cutting costs 10x. Supports Claude, GPT, Gemini, DeepSeek & more.
What is it?
What it is
Klaat Code is a terminal‑native AI coding agent that runs as a standalone CLI. It reads your project, edits files, runs shell commands, and verifies its own work, all while interacting with the Klaatu routing service to choose the most appropriate LLM tier for each request.
Why it exists
It was built to give developers a cheap, fast, and reproducible coding assistant that automatically routes work to the right model tier, uses a semantic code‑graph for efficient context, and protects users from runaway costs and permission‑related risks. The goal is to combine Claude‑grade reasoning with frontier‑level pricing and a truly terminal‑first workflow.
Who should use it
Developers who want a lightweight, terminal‑native AI coding assistant that integrates seamlessly into existing workflows, CI pipelines, and Git repositories, and who value cost‑efficiency, smart model routing, and a rich code‑graph based context. Ideal for teams and solo engineers who prefer command‑line tools over web UIs and want fine‑grained control over permissions and cost.
Who should avoid it
Users who require an offline or purely local solution, prefer a graphical interface, or need a zero‑configuration, out‑of‑the‑box experience without any authentication or external service dependency. Also not suited for those who are uncomfortable with CLI or who need strict on‑premises compliance.
How it works
A quick walkthrough in plain English
How klaatcode works in 4 steps
Step 1 of 4
Something triggers the flow
A schedule, webhook, or manual click tells klaatcode to start.
Features
Advantages
- Significant cost reduction via intelligent model routing
- Reduced token usage through semantic code graph indexing
- Runaway cost protection with hard session caps and burn-rate alerts
- High accuracy through automated error verification loops
- Seamless context management to prevent 'lost in the middle' issues
- High developer velocity with terminal-first, low-friction workflow
- Reproducible performance benchmarks
Disadvantages
- Requires a hosted service (Klaatu) for routing intelligence
- Client-side functionality is limited to a thin terminal interface
- Requires internet connectivity for core routing and intelligence
Installation
native
npm install -g klaatcode curl -fsSL https://klaatai.com/api/install | bash irm https://klaatai.com/api/install-windows | iex brew install KlaatAI/klaatcode/klaatcode
FAQ
What makes Klaat Code different from other coding agents like Claude Code?
Klaat Code differs in six key ways: smart per-request model routing, a real code knowledge graph, no Continue button, visible cost tracking, context recovery, and reproducible benchmarks.
How does Klaat Code handle model routing?
Each request is classified and routed to one of five tiers (nano to heavy) by Klaatu, escalating automatically based on task complexity, with tool rounds and retries being free.
How does Klaat Code manage costs and prevent overspending?
It includes burn-rate monitoring, per-task cost attribution, phase budgets, hard session caps, and doom-loop detection to prevent unexpected charges.
What installation methods are available for Klaat Code?
It can be installed via npm, a one-line installer, PowerShell, or Homebrew, all installing a standalone binary.
How does Klaat Code manage context and prevent information loss?
It uses automatic compaction with attention-ordered history, snapshots before summarization, and recovery notes if context is lost.
What security features does Klaat Code have?
It includes permission controls for tools and commands, sandboxed writes, and OAuth-based authentication without API keys.
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