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Goose vs Kilo Code

Goose and Kilo Code, side by side — the researched facts from the index.

How Goose and Kilo Code compare

FeatureGooseKilo Code
DescriptionOpen source AI coding agent with a desktop app, CLI, and 70+ MCP extensions across 15+ LLM providers, backed by the Linux FoundationOpen source AI coding agent for VS Code, JetBrains, CLI, and Cloud with 500+ models and no markup
PricingFree (self-hosted)Free
TagsOpen sourceSelf-hostedAPIClaudeEnterpriseFree tierGPTOpen modelsOpen sourceSelf-hosted
Pricing modelfreefreemium
Free tierYesYes
Model / LLM15+ providers including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, Bedrock500+ models including Claude Opus 4.8, GPT-5.5, and Gemini 3.5, plus BYOK and local model support
InterfaceCLIIDE
Public APIYesYes
Open sourceYesYes
DeploymentSelf-hostBoth
Limitations
  • Being self-hosted, users must bring and pay for their own LLM API keys; there is no bundled subscription covering model usage
  • Getting started requires choosing and configuring an LLM provider, which adds setup friction compared with all-in-one hosted coding assistants
  • No named enterprise support tier or SLA is documented, which may matter to teams used to vendor-backed SaaS agents
  • Pricing runs on two separate axes (a platform plan, plus optional AI-inference credits), so there is no single price tag; an independent cost review estimated $1,000-3,000+/year for moderate real-world use once inference is added
  • A 5% processing fee applies to Kilo Pass credit purchases on top of the subscription cost
  • Independent cost reviews report unpredictable credit burn — one flagged a $5 free credit exhausted in a single day, another an account balance dropping from $74.50 to near zero without active use

Who each one is for

Goose

Devs who want an open source coding agent that reuses an existing Claude or ChatGPT plan

From Free (self-hosted)

The digest

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