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Tabby vs Kilo Code

TabbyKilo Code

Bottom line: Tabby for privacy-conscious and regulated teams; Kilo Code for developers.

TabbyTabby

Open-source, self-hosted AI coding assistant you run on your own hardware

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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-sourceself-hostedai-codingprivacycode-completion
ai-coding-agentopen-sourcevs-codemcpmodel-agnostic
Best for
  • Privacy-conscious and regulated teams
  • Organizations wanting a self-hosted Copilot alternative
  • Teams with GPU and DevOps resources
  • Developers
  • Multi-model users
  • IDE-centric teams
Pros
  • Full data privacy: code never leaves your infrastructure
  • Genuinely open-source (Apache 2.0) with no vendor lock-in
  • Runs on modest consumer GPUs (NVIDIA or Apple Silicon)
  • Free at any scale when self-hosted, including SSO and team admin
  • Model-agnostic: swap in newer open LLMs as they ship
  • MIT-licensed and open source
  • Access to 500+ models
  • BYOK with zero markup
  • VS Code and JetBrains coverage
  • Subagent delegation and MCP support
Cons
  • Requires GPU and DevOps effort to self-host and maintain
  • Completion quality depends on the open model, generally below frontier tools
  • Not an autonomous agent; focused on completion and chat
  • The managed cloud option is newer and less proven than self-hosting
  • Some enterprise features sit under a separate commercial license
  • 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

Comparison generated from each tool's listing. Add or remove tools above to change it.