LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as o1,ollama, gemini, grok, qwen, GLM, deepseek, kimi,
Build your own AI assistant and manage interactions across different platforms like Discord and QQ.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeLLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as o1,ollama, gemini, grok, qwen, GLM, deepseek, kimi,
comfyui_LLM_party has 2.3k stars on GitHub. It has been forked 193 times. comfyui_LLM_party is written mainly in Python. It has been in active development since 2024. comfyui_LLM_party is available under the AGPL-3.0 license. Its main topics are agent, comfyui, dify, flux.
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as o1,ollama, gemini, grok, qwen, GLM, deepseek, kimi,
comfyui_LLM_party is an open-source project. It is released under the AGPL-3.0 license.
Yes. comfyui_LLM_party is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
comfyui_LLM_party is available under the AGPL-3.0 license.
comfyui_LLM_party is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/heshengtao-comfyui-llm-party.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.