Kilo Code
by Kilo · Open source AI coding agent for VS Code, JetBrains, CLI and cloud
BenchRank score
Screenshots of Kilo Code
Homepage
Overview
Kilo Code is an open-source AI coding agent that runs in VS Code, JetBrains, the CLI and as cloud agents, with modes for code, architect and debug. It routes work to 500+ models across 60+ providers through the Kilo Gateway, or to your own provider keys or local models via Ollama or LM Studio. Teams and Enterprise plans add shared billing and governance.
- Best for
- Developers and teams who want an open-source coding agent and direct control over model choice and spend
- Pricing
- Free open-source plan, Teams at $15/user/month and custom-priced Enterprise, with AI inference billed at provider rates (optional Kilo Pass credit subscriptions from $19/month) and cloud compute from $0.33/hour.
- Runs on
- Self-hostedCLI
Strengths and trade-offs
Strengths
- MIT-licensed source you can fork, modify and self-host
- 500+ models across 60+ providers at provider rates
- Runs in VS Code, JetBrains, CLI and cloud agents
- Bring your own keys or run local models via Ollama or LM Studio
Trade-offs
- Inference and cloud compute are billed separately from the plan
- 5% processing fee applies to credit purchases
- SSO, audit logs and SLAs only on custom-priced Enterprise
- Cloud compute runs $0.33-$1.20 per hour on top of inference
How Kilo Code markets itself
A structured read of the promise, proof and page design on Kilo Code’s captured homepage.
Homepage capture
“Code with AI without breaking the bank”
- Angle: ROI / cost-saving
- Hero: Terminal / CLI
Pricing
Published plans and prices from Kilo Code’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Kilo Code pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
Claim Kilo to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.