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Tools💻 Code & DevelopmentChatluna
Chatluna

Chatluna

Free

Multi-model LLM chat plugin for Koishi with agentic capabilities

By Tanmay Verma, Founder · Last verified 03 Jul 2026

0 views
Added 7d ago
69/100Monitor
Visit Website

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.

Compared withvs Locus Roboticsvs Truleovs Presto Voice

Is Chatluna actually worth it?

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Editorial Verdict

Best for
Koishi bot developers building multi-model chatbotsUsers who want a single plugin for diverse LLM backendsDevelopers needing agentic capabilities with sandboxingContent creators seeking multimodal output in chat
Not ideal for
Non-Koishi users (requires Koishi framework)Those needing standalone desktop or mobile appsEnterprise teams requiring SLA-backed supportUsers wanting built-in fine-tuning or training tools

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.

Compare with: Chatluna vs Poke (Interaction Co.), Chatluna vs Cortex.cpp, Chatluna vs Mercor AI Recruiter

Last verified: July 2026

Viability Score

69/100
Monitor

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.

momentum
55
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Multi-model integration (Deepseek, OpenAI, Gemini, Claude)
  • Agentic tool calling with sandbox execution
  • MCP (Model Context Protocol) support
  • Web search capability via tools
  • Multimodal image input processing
  • Multi-format output (text, image, voice)
  • Koishi plugin ecosystem integration
  • Extensible model adapter architecture
  • Community-contributed model platforms
  • Low-code configuration via Koishi marketplace

About Chatluna

FreeIntermediateAPI availablePlugin

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.

Behind the Verdict

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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Use Cases

  • Build a chatbot that can switch between OpenAI, Gemini, and Claude within Koishi.
  • Create an agent that executes code in a sandbox via MCP tools.
  • Render LLM responses as voice messages using TTS integration.
  • Enable web search for your bot to answer real-time queries.
  • Handle image inputs for vision-capable models like Gemini or GPT-4V.

Models Under the Hood

Deepseek modelOpenAI GPT-4Google Gemini ProAnthropic Claude 3

Limitations

  • ChatLuna is tightly coupled with Koishi, so it cannot function outside that framework.
  • Model availability depends on user-provided API keys and platform uptime.
  • Agentic capabilities are limited by the underlying model's tool-use performance and context window.
  • No free hosted API or cloud service is included.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Integrations

DeepseekOpenAIGoogle GeminiAnthropic ClaudeKoishi

Resources & Guides

  • Resourcechatluna.chat

    Home · Chatluna

    Helpful link from chatluna.chat

Frequently Asked Questions

Tools that pair well with Chatluna

Common stack mates teams adopt alongside Chatluna, with the specific reason each pairing earns its keep.

P

Poke (Interaction Co.)

AI personal assistant in Apple Messages, WhatsApp, Telegram, and RCS

C

Cortex.cpp

Open-source AI assistant for private offline inference

Mercor AI Recruiter

Mercor AI Recruiter

AI recruiter that finds and evaluates tech talent instantly.

Featured Head-to-Head Comparisons

Chatluna vs Locus Robotics

Chatluna vs Truleo

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Poke (Interaction Co.)

Poke (Interaction Co.)

AI personal assistant in Apple Messages, WhatsApp, Telegram, and RCS

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Cortex.cpp

Cortex.cpp

Open-source AI assistant for private offline inference

FreeTry
Mercor AI Recruiter

Mercor AI Recruiter

AI recruiter that finds and evaluates tech talent instantly.

Contact SalesTry

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Details

Pricing
Free
Skill Level
Intermediate
Platforms
Plugin
API Available
Yes
Pricing & overview verified
7d ago

Categories

💻 Code & Development🤖 Automation & Agents

Best-of guides

Best AI Tools for Coding & DevelopmentBest AI Workflow Automation & Agent Tools

Topics

AutomationAgentChatbotAPIOpen Source

Resources

Official Website
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