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Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Command Code provider plugin for DeepSeek Harness (dsh). Adds Command Code model access, live model catalog, plan-aware model selection, reasoning effort, image input, web search, and multi-account support.

Jeeves – Reasoning improves Jev-like decision models

Local-first AI agent memory with a knowledge graph, ontology constraints, and traceable reasoning—all in one SQLite file.

dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).

GRAVA: A Unified Grounded Reasoning-to-Action Framework for Autonomous Driving. Project overview.

Code as World: Agentic Discovery of Executable World Representations for Physical Reasoning

Python Toolkit for Causal and Probabilistic Reasoning

Utilities for reasoning about musical notes, frequencies, and intervals

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Probabilistic reasoning and statistical analysis in TensorFlow

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WebAssembly port of Recast Navigation, a navigation mesh construction, path-finding, and spatial reasoning toolkit.

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).

Autonomous penetration testing using a swarm of AI agents. Orchestrates recon, classification, exploitation, and reporting specialists with ReAct reasoning — supports bug bounty, continuous monitoring, and CTF modes. Built with Go and 7+ native security tools.

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

[AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

Explore concepts like Self-Correct, Self-Refine, Self-Improve, Self-Contradict, Self-Play, and Self-Knowledge, alongside o1-like reasoning elevation🍓 and hallucination alleviation🍄.

🔥An open-source survey of the latest video reasoning tasks, paradigms, and benchmarks.

🧠 Prometheus: A Knowledge-Graph-Driven 🤖 AI Agent that maps 🗺, understands 🧩, and repairs 🛠 complex codebases — not by guessing, but by reasoning. ⚡

A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.

[VLDB' 25] ChatTS: LLM for Time Series Understanding and Reasoning

AI integration layer for Jido agents with LLM orchestration and reasoning strategies.

Automatically update arXiv papers about LLM Reasoning, LLM Evaluation, LLM & MLLM and Video Understanding using Github Actions.

Cosmos-Reason1 models understand the physical common sense and generate appropriate embodied decisions in natural language through long chain-of-thought reasoning processes.

Implement a reasoning LLM in PyTorch from scratch, step by step