kilo-org/kilocode

Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 45 minutes ago
Added to GitGenius on September 2nd, 2026
Created on March 10th, 2025
Open Issues & Pull Requests: 560 (+0)
GitHub issues: Enabled
Number of forks: 3,138
Total Stargazers: 27,225 (+0)
Total Subscribers: 113 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.1 hours
Mean response time: 9.9 days
90th percentile: 32.3 days
Tracked items: 3,551

Most active contributors

Sign in to see contributor activity.

Related repositories by overlapping contributors

No overlapping-contributor repos identified yet.

How this project is maintained

92% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "question" is answered fastest, typically in about 7 hours, while "legacy-extension" waits about 2 weeks.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 442
New in 7 days: 70
Closed in 7 days: 69
Avg open age: 41 days
Stale 30+ days: 188
Stale 90+ days: 0

Recent activity

Opened in 7 days: 58
Closed in 7 days: 56
Comments in 7 days: 36
Events in 7 days: 76

Top labels

  • bug (1,528)
  • kilo-triaged (610)
  • Stale (470)
  • kilo-auto-fix (457)
  • legacy-extension (303)
  • user-interface (284)
  • enhancement (257)
  • CLI (201)

Detailed Description

Kilo is an open source AI coding agent that runs in VS Code, JetBrains IDEs, and the command line.

The tool addresses the need for an AI-assisted development workflow that integrates directly into existing developer environments. It works by connecting to over 500 language models from various providers, allowing developers to choose and switch between models during work without paying markup on API costs. The agent operates with transparent pricing tied directly to model provider rates.

Developers should choose this tool if they want flexibility in model selection and prefer working within their existing editor or CLI rather than switching to a separate interface. It suits teams that want to avoid vendor lock-in and control which AI models power their coding tasks. The project emphasizes open source availability and zero-markup pricing as core differentiators from commercial alternatives.

The project maintains active engagement across multiple community channels including Discord and Reddit. Development activity shows ongoing expansion of model support and platform coverage, with native implementations for both VS Code and JetBrains rather than generic integrations. The tool supports internationalization with documentation available in numerous languages, indicating sustained effort toward global accessibility.