chevey339/kelivo

A Flutter LLM Chat Client. Support Mobile & Desktop.

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Summary Information

Updated 25 minutes ago
Added to GitGenius on September 17th, 2026
Created on August 29th, 2025
Open Issues & Pull Requests: 473 (+0)
GitHub issues: Enabled
Number of forks: 438
Total Stargazers: 3,982 (+1)
Total Subscribers: 11 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.9 hours
Mean response time: 15.2 days
90th percentile: 38.8 days
Tracked items: 692

Most active contributors

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How this project is maintained

About 19% of issues opened in the past year have never received a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 12% of tracked open issues have had no activity in three months. Only 49% of issues opened in the past year have been closed. Three people close 64% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 419
New in 7 days: 51
Closed in 7 days: 14
Avg open age: 131 days
Stale 30+ days: 218
Stale 90+ days: 50

Recent activity

Opened in 7 days: 41
Closed in 7 days: 13
Comments in 7 days: 6
Events in 7 days: 20

Top labels

  • feature (393)
  • bug (359)
  • ios (87)
  • ui (68)
  • windows (66)
  • android (61)
  • import-export (35)
  • mcp (32)

Detailed Description

Kelivo is a Flutter LLM chat client that runs on mobile and desktop platforms.

The tool addresses the need for a unified interface to interact with large language models across multiple devices. It works by providing a cross-platform chat application built with Flutter, enabling users to communicate with LLMs on both mobile devices and desktop computers. The application supports model selection, tool calling capabilities, and web search functionality, allowing users to access different AI models and extend their capabilities beyond basic conversation.

Developers should choose Kelivo if they need a lightweight, multi-platform chat interface for LLM interactions without platform-specific development. The project suits teams building applications that require consistent chat experiences across iOS, Android, and desktop environments. It also supports HarmonyOS and OpenHarmony platforms, making it relevant for developers targeting those ecosystems. The tool is particularly useful for projects where users need to switch between different LLM providers and access advanced features like tool calling and web search integration.

The project maintains active community engagement through multiple communication channels and accepts sponsorship support from API providers. Development appears focused on expanding platform coverage and feature completeness, with beta testing opportunities available for early adopters.