{"repo":"Leghis/Smart-Thinking","free":true,"listed":false,"github":"https://github.com/Leghis/Smart-Thinking","clone":"git clone https://github.com/Leghis/Smart-Thinking.git","description":"Smart-Thinking is a Model Context Protocol (MCP) server that delivers graph-based, multi-step reasoning without relying on external AI APIs. Everything happens locally: similarity search, heuristic-based scoring, verification tracking, memory, and visualization all run in a deterministic pipeline designed for transparency and reproducibility.","language":"TypeScript","stars":34,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"Smart-Thinking Smart-Thinking is a Model Context Protocol (MCP) server that delivers graph-based, multi-step reasoning without relying on external AI APIs. Everything happens locally: similarity search, heuristic-based scoring, verification tracking, memory, and visualization all run in a deterministic pipeline designed for transparency and reproducibility. Core Capabilities - Graph-first reasoning that connects thoughts with rich relationships (supports, contradicts, refines, contextual links, and more). - Local TF-IDF + cosine similarity engine powering memory lookups and graph expansion without third-party embedding services. - Heuristic quality evaluation that scores confidence, relevance, and quality using transparent rules instead of LLM calls. - Verification workflow with detailed statuses and calculation tracing to surface facts, guardrails, and uncertainties. - Persistent sessions that can be resumed across runs, keeping both the reasoning graph and verification ledger in sync. Reasoning Flow 1. Session bootstrap – ReasoningOrchestrator initializes a session, restores any saved graph state, and prepares feature flags. 2. Pre-verification – deterministic guards inspect the incoming thought, perform light-weight calculation checks, and annotate the payload. 3. Graph integration – the thought is inserted into ThoughtGraph , linking to context, prior thoughts, and relevant memories. 4. Heuristic evaluation – QualityEvaluator and MetricsCalculator compute weighted scores ","default_branch":null,"files":null,"tree":[],"storefront":"/r/Leghis","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Leghis/Smart-Thinking/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}