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Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
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,doubao. Adapted to local llms, vlm, gguf such as llama-3.3 Janus-Pro, Linkage graphRAG
🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Desktop AI Assistant powered by GPT-5, o1, o3, GPT-4, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice control, image generation and analysis, agents, tools, file upload/download, speech synthesis and recognition, access to Web, memory, presets, assistants, plugins, and more. Linux, Windows, Mac
AI tutor powered by Theory-of-Mind reasoning
Latest Advances on Long Chain-of-Thought Reasoning
OpenAI API client library for Rust (unofficial)
This benchmark tests how well LLMs incorporate a set of 10 mandatory story elements (characters, objects, core concepts, attributes, motivations, etc.) in a short creative story
Official codebase for "Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling".
Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.
Building open version of OpenAI o1 via reasoning traces (Groq, ollama, Anthropic, Gemini, OpenAI, Azure supported) Demo: https://huggingface.co/spaces/pseudotensor/open-strawberry
利用免费的大模型api来结合你的私域数据来生成sft训练数据(妥妥白嫖)支持llamafactory等工具的训练数据格式synthetic data
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, debates, and refines responses, it enables complex problem-solving and precise results. Now with Prompt Caching to reduce latency and costs.
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents