
Multi-model LLM chat plugin for Koishi with agentic capabilities
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Chatluna — Multi-model LLM chat plugin for Koishi with agentic capabilities. Best for Koishi bot developers building multi-model chatbots, Users who want a single plugin for diverse LLM backends, Developers needing agentic capabilities with sandboxing. Free to use.
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ChatLuna is the definitive Koishi plugin for multi-model LLM chat. Its extensible adapter system and agentic capabilities (sandbox, MCP) stand out. However, it's locked to the Koishi ecosystem—skip if you want a standalone app.
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Last verified: July 2026
How likely is Chatluna to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →ChatLuna is an open-source plugin for the Koishi chatbot framework that enables multi-platform large language model (LLM) chat services. It integrates with major AI providers including Deepseek, OpenAI, Google Gemini, and Anthropic Claude, allowing users to switch between models seamlessly. Designed for both developers and power users, ChatLuna offers extensible architecture for adding new model platforms and tools. It supports complex agentic workflows such as sandboxed tool calling, MCP (Model Context Protocol) integration, and web search. The plugin also handles multimodal inputs (images) and renders output in text, image, or voice formats. Licensed under CC-BY-SA-4.0, it is actively maintained on GitHub with a community-driven development model. Targeted at Koishi users and bot developers, ChatLuna provides a low-code setup through Koishi's plugin marketplace. Users can configure multiple model endpoints without writing complex configuration files. Its Agent mode allows LLMs to call arbitrary tools, making it suitable for tasks like code execution, data retrieval, and interactive assistants. The plugin differentiates itself through its focus on extensibility and rendering flexibility while remaining free and open-source. ChatLuna's architecture is modular: each model provider is a separate adapter, and tools are registered via a plugin system. This design enables community contributions and custom integrations. The plugin's rendering pipeline converts model responses into rich outputs (e.g., text with image attachments or speech) via Koishi's messaging framework. For developers, the plugin exposes APIs for creating custom agents and tool integrations. What sets ChatLuna apart is its all-in-one approach within the Koishi ecosystem: it replaces multiple single-purpose plugins by offering chat, tools, and multimodal support in one package. However, it requires Koishi as a host and is not a standalone application.
ChatLuna fills a specific niche: multi-model LLM chat inside Koishi. It's not for everyone, but if you're already on Koishi, it's a no-brainer—it replaces several single-purpose plugins with one modular setup. The agentic tool calling (sandboxed execution, MCP) sets it apart from simpler chat plugins. Integration with Deepseek, OpenAI, Gemini, Claude covers all bases. Multimodal input (images) and output (text, image, voice) add flexibility. However, outside Koishi you get nothing—no standalone app, no API (unless you build one). Missing advanced features like fine-tuning or memory management. For Koishi users, it's the best multi-model plugin; for others, look at standalone chatbots like ChatGPT or open-source alternatives like Ollama (if you want local models). Community support via GitHub is active, but no SLA for enterprises. Pick ChatLuna if you're building a Koishi bot that needs to switch between multiple LLMs and use tools; pass if you need a quick, standalone solution or enterprise support.
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