Reasoning Python Packages

owlrl

A simple implementation of the OWL2 RL Profile on top of RDFLib: it expands the graph with all possible triples that OWL RL defines. It can be used together with RDFLib to expand an RDFLib Graph object, or as a stand alone service with its own serialization.

opendsstar

OpenDsStar is an open-source implementation of the DS-Star agent that replaces file-based workflows with a flexible, tool-centric architecture. It supports incremental execution, reuses intermediate results, and makes complex multi-step agents more modular, efficient, and extensible.

pageindex

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

miniful

A minimal fuzzy library

agentmake

AgentMake AI: a kit for developing agentic AI applications that support 24 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, azure_any, cohere, custom, deepseek, genai, github, github_any, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai

graqle

Give your AI tools architecture-aware reasoning. Knowledge graph from any codebase — 14 LLM backends, impact analysis, confidence scores. Works with Claude Code, Cursor, VS Code Copilot.

dialectical-framework

Turn stories, strategies, or systems into insight. Auto-generate Dialectical Wheels (DWs) from any text to reveal blind spots, surface polarities, and trace dynamic paths toward synthesis. DWs are semantic maps that expose tension, transformation, and coherence within a system—whether narrative, ethical, organizational, or technological.

ripple-down-rules

A python implementation of the various ripple down rules versions, including Single Classification (SCRDR), Multi Classification (MCRDR), and Generalised Ripple Down Rules (GRDR).

entity-query-language

A relational query language that is pythonic and intuitive.

semantica

Semantica 🧠 • Build AI systems that can explain, trace, and justify every decision. Knowledge graphs, context graphs, reasoning engines, provenance, and governance for production AI.

sphereql

Spherical coordinate knowledge representation — fast semantic search, visualization, and analysis

awex

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

ntloss

PyPI package for Number Token Loss (ICML 2025)

pre-reasoning

LLMs take the path of least resistance. Pre-Reasoning hands any model a map of the problem first, so it unlocks the knowledge it already has, faster. For large models, that means hard problems and long-horizon tasks. For small models, consistency. Root blockers, unlock order, conflicts, parallel work. 12M params, runs locally on CPU in ~200ms.

arctx

ARCTX — Append-only DAG for reasoning history, parallel agent collaboration, and thought tracking.

arctx-cli

ARCTX — Append-only DAG for reasoning history, parallel agent collaboration, and thought tracking.

elite-reasoning-mcp

90+ tool Model Context Protocol server for AI coding agents: workflow flight recorder, quality-gated memory, release doctor, eval harnesses, and reasoning safety.

coconut-pytorch

Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch

hrm-pytorch

Exploration into the proposed architecture from Sapient Intelligence of Singapore 🇸🇬

abstractllm

A unified interface for Large Language Models with memory, reasoning, and tool capabilities. Supports OpenAI, Anthropic, Ollama, HuggingFace, and MLX with hierarchical memory system and agent development features.

symposium-protocol

Reference implementation of the Symposium protocol — structured, sequential, adversarial multi-agent deliberation.

nocturnusai

Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc

cognigraph

Give your AI tools architecture-aware reasoning. Knowledge graph from any codebase — 14 LLM backends, impact analysis, confidence scores. Works with Claude Code, Cursor, VS Code Copilot.

tiny-recursive-model

Unofficial implementation of Tiny Recursive Model (TRM), improvement to HRM from Sapient AI, by Alexia Jolicoeur-Martineau