AI Agent Index
ByHeather MacAvelia·Last verified May 15, 2026
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Kilo Code

4.5/ 5

by Kilo Code

MCP✓ Verified Review
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Open-source AI coding agent for VS Code, JetBrains, and CLI with parallel agents, multi-model comparisons, and 500+ models including Claude, GPT-5, and Gemini through transparent BYOK pricing.

From

Free

freemium

GitHub

Stars

G2

Rating

MCP

⚡ Yes

Compatible

Kilo Code is an open-source AI coding agent that runs inside VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm), and as a CLI. Started as a fork of Roo Code (itself a fork of Cline) and now independently developed by Kilo-Org with $8M in seed funding, 18,900+ GitHub stars, and 2M+ users processing over 30 trillion tokens. Trusted by engineering teams at Meta, Amazon, Airbnb, PayPal, Square, and Red Hat. The agent operates across five built-in modes: Architect for system planning, Code for implementation, Debug for diagnosis, Ask for safe codebase exploration, and Orchestrator for multi-step task management. Pricing is transparent and BYOK-friendly: the core Kilo Code extension is free and open source under MIT license. Kilo Pass starts at $19 per month for managed AI inference, KiloClaw managed OpenClaw deployments start at $8 per month, and Teams pricing starts at $15 per month. Connect your own OpenRouter, Anthropic, OpenAI, or Google API key and pay provider rates directly with no markup. The May 2026 v7 release is rebuilt on OpenCode server with parallel tool calls, subagent delegation for concurrent work across separate git worktrees, and inline diff review. Setup takes about five minutes via the VS Code or JetBrains marketplace. Kilo Code does not use customer code to train models and supports fully local model operation for sensitive codebases. Limits: enterprise governance features (SSO, granular audit logs) are still maturing; Teams and Enterprise procurement workflows are less polished than GitHub Copilot or Cursor; tuning Memory Bank, MCP tools, and custom modes has a learning curve.

Pricing

freemium · Free

View pricing ↗

Segment

b2b

Setup

easy

Verified

May 15, 2026

Capabilities

code-generationagentic-codingautonomousidemulti-file-editingautocompleteterminal-agentbyokopen-source

Pros & Limitations

Editorial assessment

Pros

  • Open-source MIT-licensed and model-agnostic, connect any of 500+ models including Claude, GPT-5, and Gemini through BYOK with no markup
  • Multi-mode architecture (Architect, Code, Debug, Ask, Orchestrator) handles planning and execution as separate concerns with auditable workflows
  • Trusted by engineering teams at Meta, Amazon, Airbnb, PayPal, Square, and Red Hat with $8M seed funding and 2M+ developer users

Limitations

  • Enterprise governance features (SSO, granular audit logs, RBAC) are less mature than GitHub Copilot or Cursor for procurement-heavy organizations
  • Setup complexity for advanced features (Memory Bank, custom modes, MCP tools) has a real learning curve
  • Local model performance depends heavily on hardware, expect uneven results without sufficient compute for larger LLMs

Technical Details

Deployment
cloud
Model architectureModel-agnostic, supports 500+ models including Claude 4.6 Sonnet/Opus, GPT-5, and Gemini 3.1 Pro via OpenRouter or Kilo Gateway
Avg setup time5 minutes
Autonomous rateConfigurable: Kilo agents run autonomously on multi-step tasks with developer approval; v7 introduces parallel subagent delegation with concurrent git worktrees and inline diff review; Cloud Agents support headless background execution
MCP compatibleYes
Integrations
VS CodeJetBrains IDEsOpenRouterAnthropic ClaudeOpenAIGoogle GeminiMCP serversGitHub
Security
Open Source MIT LicenseLocal-first operation supportedBYOK supportedCode never used for training

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Rating

4.5/ 5

Editorial score

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Industries

DevToolsB2BStartupsEnterpriseOpen Source

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