Kilo Code vs OpenCode (2026): VS Code Plugin or CLI Agent? | Respan
Kilo Code vs Open Code
Updated April 28, 2026
Kilo Code
vs
Open Code
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Developers and teams who want an open-source coding agent in their existing IDE, with full model freedom and no API markup
Best For
Terminal-first developers who want a privacy-respecting, provider-agnostic coding agent with multi-session support
Product Summary
Kilo Code is an open-source AI coding agent for VS Code, JetBrains, and the CLI, forked from Cline and Roo Code. It connects to 500+ models across 60+ providers with zero markup, and ships an Orchestrator mode that routes complex tasks to specialist sub-agents (Architect, Coder, Debugger). 1.5M+ users; raised $8M seed in December 2025.
Product Summary
OpenCode is an open-source AI coding agent built for the terminal by Anomaly. It connects to 75+ LLM providers via Models.dev, supports parallel agent sessions on the same project, and has a privacy-first design — no code or context data is ever stored. Available as a TUI, IDE extensions, and a beta desktop app for macOS, Windows, and Linux.
Starting Price
$0 Per forever
Starting Price
$0 Per forever
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website
kilo.ai
Website
github.com
Key features
Core capabilities each platform advertises.
Kilo Code
- Orchestrator mode routes complex tasks to specialist sub-agents (Architect / Coder / Debugger)
- 500+ models across 60+ providers (Anthropic, OpenAI, Google, Mistral, Ollama, OpenRouter)
- Runs in VS Code, JetBrains, and as a standalone CLI
- Inline autocomplete, browser automation, and automated refactoring
- Open-source (forked from Cline + Roo Code) with 1.5M+ active users
Open Code
- Privacy-first — zero retention of code, prompts, or context data
- 75+ LLM providers via Models.dev (Claude, GPT, Gemini, GitHub Copilot, ChatGPT Plus/Pro, local)
- Multi-session capability — run planning + build agents in parallel on the same repo
- LSP-enabled code understanding across languages
- Shareable session links for debugging and team review
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Kilo Code
Pros
- Most-used open-source coding agent (1.5M+ users, #1 on OpenRouter)
- Zero markup — pays Anthropic/OpenAI/Google list price
- Orchestrator routes complex work to specialist sub-agents
- 500+ models across 60+ providers, including local
- BYOK credits never expire
Cons
- Newer than incumbents like GitHub Copilot — fewer enterprise references
- Quality is bounded by your chosen model and prompt
- Community support rather than dedicated enterprise SLAs
- Orchestrator workflows have a learning curve to configure
Open Code
Pros
- Open-source under MIT — 147K+ GitHub stars, no vendor lock-in
- Privacy-first design with zero data retention
- 75+ providers including local, GitHub Copilot, and ChatGPT Plus/Pro accounts
- Multi-session parallel agents (build + plan modes)
- Free with optional Zen service for optimized models
Cons
- Terminal-first — less polished than IDE-native agents like Cursor
- Desktop app still in beta on macOS/Windows/Linux
- Steeper learning curve than minimalist tools like Claude Code
- Provider availability depends on third-party API access (e.g., Anthropic OAuth restrictions)
What people are saying
Kilo Code
Game Developer Product Hunt
Brilliant coding assistant — works great for both VS Code and JetBrains IDEs with access to many providers.
Open Code
jeremy_k Hacker News
It was the first time I felt like I could write up a large prompt, walk away from my laptop, and come back to a lot of work having been done.
Kilo Code or Open Code — which should you choose?
Choose Kilo Code if you want Choose if you want
- Orchestrated multi-step refactors across an existing codebase
- Cost-conscious AI coding via BYOK with zero provider markup
- Multi-IDE team standardization across VS Code and JetBrains
- Local-first private coding workflows with Ollama
- Architectural planning and automated debugging from a single agent
Choose Open Code if you want Choose if you want
- Terminal-first AI pair programming for keyboard-driven developers
- Privacy-sensitive or air-gapped engineering environments
- Parallel agent workflows (planner + builder) on the same codebase
- BYOK across many providers without changing tools
- Debugging with shareable session traces for team review
Route across every provider. Keep the logs in the same place.
10K Free traces/mo
500+ Models
5 min Setup
Respans LLM gateway puts every major provider behind one API, with automatic failover and hard spend limits. Every request it routes is logged with cost and latency attached, so you don't need a second tool to see what happened.