Parallel agents in isolated worktrees
Delegate separate tasks to multiple agents and give each one its own git worktree so work stays isolated from the main checkout.
Kilo Code
Freemium
Kilo Code 是適用於 JetBrains IDE 的多代理 AI 程式開發外掛程式。開發者無須離開 IDE，即可執行和管理 AI 程式開發代理、在隔離的 worktree 中檢視變更，並從豐富的模型目錄中選擇模型。
什麼是 Kilo Code？
Kilo Code is a native JetBrains plugin for agentic development workflows. It lets developers run AI coding agents inside the IDE, manage them from a dedicated tool window, and keep model choice, pricing, and task control in one place.
The main workflow uses isolated git worktrees so agents can work on tasks in parallel while the main project stays available. Users can inspect changes, compare worktrees against the base branch, test results, and review pull request status before merging.
Kilo Code 能做什麼？
Agent Manager inside JetBrains
Track active, completed, and blocked agents from one IDE tool window and continue conversations without switching context.
Worktree testing and debugging
Create run configurations for agent worktrees, run code from the IDE, and open a worktree in a new frame when deeper debugging is needed.
Diff and pull request review
Compare worktrees against the base branch, inspect uncommitted changes, and follow GitHub pull request status alongside the task that produced it.
Model flexibility
Choose from hosted, BYOK, and local model options, with the product page describing support for 600+ models and Kilo Gateway access to 500+ models across many providers.
JetBrains-native and remote-ready
Install through the JetBrains Plugin Marketplace and use the plugin with local projects or JetBrains Remote Development split mode.
使用情境
“Delegating feature work across multiple tasks”
Split a larger coding job into smaller pieces, assign them to parallel agents, and review each worktree independently before merging.
“Investigating bugs and failures”
Use an agent to trace behavior, run tests, inspect evidence, and iterate in a separate worktree while the main branch remains untouched.
“Planning before editing code”
Ask the agent to research the codebase, surface constraints, and turn an idea into an implementation plan before any files are changed.
“Working in a remote JetBrains setup”
Use split mode when the IDE backend runs on a remote machine while the JetBrains interface and Kilo experience stay local.
“Standardizing model use across a team”
Use the same Kilo platform across JetBrains, VS Code, and CLI workflows so teams can centralize model access and related controls.
常見問題
What makes Kilo Code different from a standard JetBrains AI assistant?
Kilo Code is positioned as a native, multi-agent plugin with a custom interface for model selection, pricing, usage, and agent controls, rather than a single standardized assistant surface.
How is it installed in JetBrains?
The page says it installs through the standard JetBrains Plugin Marketplace. The documentation also describes opening the IDE, going to Settings > Plugins, searching for Kilo Code, and installing it there.
Does it work with remote development setups?
Yes. The JetBrains page says it supports local projects and JetBrains Remote Development through split mode, with the backend on a remote machine and the interface kept local.
What model options are available?
The product page says Kilo Code supports more than 600 models, including hosted models through Kilo Gateway, bring-your-own-key providers, and local models such as Ollama or LM Studio.
How does pricing work?
The pricing page separates platform access, AI inference, and cloud compute. It shows a free individual tier, paid Teams and Enterprise plans, and usage-based inference and compute charges.
快速資訊
- Category
- Developer Tool
- Platform
- JetBrains IDEs
- Supported environments
- Local projects and JetBrains Remote Development
- Model scope
- 600+ models mentioned on the product page
- Pricing shape
- Free individual tier with paid Teams and Enterprise plans; inference and cloud compute are billed separately
- Source domain
- kilo.ai
Kilo Code 流量分析
流量數據僅供參考。
- 網域評分
- 77
