{"repo":"MakiDevelop/knowledge-pipeline","free":true,"listed":false,"github":"https://github.com/MakiDevelop/knowledge-pipeline","clone":"git clone https://github.com/MakiDevelop/knowledge-pipeline.git","description":"Stop feeding your RAG garbage. A zero-framework, 6-layer deterministic knowledge refinery for AI agents. Score, route, search — pure Python.","language":"Python","stars":16,"topics":["ai-agents","bookmark-manager","knowledge-graph","knowledge-management","llm","multi-agent","python","rag","semantic-search","sqlite"],"license":"MIT","category":"ai-agents","readme_excerpt":"knowledge-pipeline Stop feeding your RAG garbage. Auto-triage your knowledge. Score, route, search — no frameworks. 繁體中文 README Most bookmark managers are graveyards. You save 500 URLs and never look at them again. knowledge-pipeline is different. It's a 6-layer deterministic pipeline that automatically: 1. Ingests URLs from any source (CLI, file, API) 2. Enriches them with full-text extraction and LLM-generated summaries 3. Scores each item on 8 dimensions using an LLM — not just \"relevant or not\", but how valuable, how novel, how actionable 4. Routes each item to a destination: write about it, research deeper, fact-check it, act on it, or archive it 5. Embeds everything with dense + sparse vectors for hybrid semantic search 6. Serves a search API that any AI agent can query Why this exists If you use multiple AI agents (Claude, ChatGPT, Gemini, Copilot, local models...), your knowledge is scattered across dozens of context windows that vanish when the session ends. This pipeline gives your agents a shared, persistent, scored knowledge layer . Instead of each agent starting from zero, they can query what you've already collected — and the pipeline has already decided what's worth their attention. What makes this different Feature Typical RAG knowledge-pipeline --------- ------------- ------------------- Knowledge flow Passive (you ask, it answers) Active (auto-score, auto-route) Quality signal None (all items equal) 8-dimension LLM scoring + signal score Routing None Auto-ro","default_branch":null,"files":null,"tree":[],"storefront":"/r/MakiDevelop","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MakiDevelop/knowledge-pipeline/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."}