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Kilo Code

Free tier

Code with AI without breaking the bank

Free tier available·All audiences·Powered by Multi-provider (500+ models across 60+ providers including Anthropic, OpenAI, Google, Azure, AWS Bedrock, Ollama, LM Studio, and others via Kilo Gateway or BYOK)·Open source
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Key strengths

500+ models across 60+ providers with zero AI inference markupFully open source under MIT licenseMulti-platform support (VS Code, JetBrains, CLI, Cloud)Bring Your Own Keys (BYOK) supportAuto Model routing for cost and capability optimizationMultiple specialized agent modes (Code, Architect, Debug, Ask, Custom)Local model support via Ollama and LM StudioCloud agents with parallel isolated worktrees
Free tier + paid plans · from $15 USD/mo
Amsterdam, Netherlands
Founded 2025
Self-hostable
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Kilo Code — Technical Use Cases

1. Multi-Model Cost Optimization

Teams with variable workloads can configure Auto Model Routing to automatically dispatch lightweight tasks (e.g., docstring generation, linting fixes) to cheaper or free models while routing complex refactors to higher-capability models — all without changing workflow.

2. Air-Gapped / On-Premises Development

Enterprises with strict data residency requirements can self-host Kilo Code (MIT license) and connect it exclusively to local models via Ollama or LM Studio, ensuring no code or context leaves the internal network.

3. Parallel Feature Development with Cloud Agents

Engineering teams can spin up Cloud Agents running in parallel isolated worktrees to work on multiple features or bug fixes simultaneously, reducing bottlenecks in high-velocity sprint cycles.

4. BYOK for Existing Cloud Contracts

Organizations already holding enterprise agreements with Anthropic, OpenAI, Google, Azure, or AWS Bedrock can plug those credentials directly into Kilo Code via BYOK, consolidating AI tooling without incurring additional per-seat inference costs.

5. Extensible Agent Pipelines via MCP

Developers can use MCP (Model Context Protocol) to inject custom context — internal documentation, proprietary APIs, runbooks — into agent sessions, enabling domain-specific coding assistance beyond generic model knowledge.

6. IDE-Native Debugging Workflows

The Debug agent mode integrates directly into JetBrains and VS Code environments, allowing developers to invoke AI-assisted root-cause analysis without leaving their editor or switching context to an external chat interface.