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PearAI vs Kilo Code

PearAIKilo Code

Bottom line: PearAI for individual developers; Kilo Code for developers.

PearAIPearAI

Open-source AI code editor built on VS Code with no lock-in

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Kilo CodeKilo Code

Open-source, model-agnostic AI coding agent for VS Code and JetBrains

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
open-sourceai-editorvscodeautocompletebyo-key
ai-coding-agentopen-sourcevs-codemcpmodel-agnostic
Best for
  • Individual developers
  • Open-source advocates
  • VS Code users
  • Developers
  • Multi-model users
  • IDE-centric teams
Pros
  • Fully open source under Apache 2.0
  • Familiar VS Code base and extension ecosystem
  • Bring-your-own-key across major model providers
  • Supports local models via Ollama
  • Free self-hosted editor with all core features
  • MIT-licensed and open source
  • Access to 500+ models
  • BYOK with zero markup
  • VS Code and JetBrains coverage
  • Subagent delegation and MCP support
Cons
  • Smaller team than commercial competitors
  • No dedicated team-collaboration tier
  • Fewer polished enterprise features
  • BYO-key setup adds friction for beginners
  • Roadmap depends on a small core team
  • Began as a Roo Code fork
  • Plan structure can be confusing
  • Separate KiloClaw product adds complexity
  • You still pay model costs under BYOK
  • Anaconda acquisition impact still unfolding

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