Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
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Updated
Mar 24, 2026 - Python
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
Reproducible Language Agent Research
LLM Reasoning Framework for Scientific Research
💭Auto Graph of Thoughts: A Hands-free and Cost Effective Method for using Graph of Thoughts
The implementation of our LREC-COLING 2024 paper "DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation"
🧠 Open-source AI reasoning research platform — persistent reasoning graphs, multi-agent swarms, Graph-of-Thoughts, and MemGPT-style memory. Built with Claude Opus 4.6 by Anthropic. Explore, verify, and fork AI thinking in real-time.
Ollama structured output for visual zeroshot reasoning
Next-Generation AI Reasoning Framework for Scientific Research
Trying to understand problem solving
An intelligent hybrid RAG platform powered by LangGraph + SGLang that seamlessly integrates knowledge retrieval with tool execution via MCP, featuring dynamic 3-way routing, quality-gate backtracking, and Graph-of-Thought reasoning.
LLMScript is an AI Workflow engine driven by a Scripting Language based on JavaScript. It provides a specialized environment for executing structured commands with AI capabilities, supporting loops, conditional statements, functions, custom queries, recursion, and nested calls.
KERNEL Ω est une architecture cognitive unifiée pour LLMs. En fusionnant Graph of Thoughts, Self-Discover et Few-Shot Introspectif, il transforme les générateurs de texte linéaires en moteurs d'inférence réflexifs capables de douter, de s'auto-corriger et de cartographier leur propre pensée.
Prosense introduces an adversarial feedback pipeline to improve the robustness and truthfulness of text generation models. It features multi-stage fine-tuning on Mistral-7B, Graph-of-Thought-based reasoning feedback, and efficient single-GPU training.
Experiments comparing Chain-of-Thought, Self-Consistency, Tree-of-Thoughts, and Graph-of-Thoughts reasoning strategies on LLMs.
Explore zero-shot reasoning strategies with Ollama in this interactive FastAPI project. Visualize AI thought processes using Chain, Tree, and Graph-of-Thought. 🌟💻
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