Easiest and laziest way for building multi-agent LLMs applications.
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Updated
Nov 6, 2025 - Python
Easiest and laziest way for building multi-agent LLMs applications.
AI conversations that actually remember. Never re-explain your project to Claude again. Local-first, integrates with Obsidian. Join our Discord: https://discord.gg/tyvKNccgqN
Source code for Make it Easy: An Effective End-to-End Entity Alignment Framework. SIGIR 2021.
Python implementation of W3C CSV on the Web recommendation
RAG with LLM agents for SQL & graph databases
Source code graph RAG based on Clangd index
Aligning geographic entities from historical maps for building knowledge graphs
A Neo4j-based toolkit for building and analyzing e-commerce knowledge graphs, just for learning KG.
HyponymyExtraction and Graph based on KB Schema, Baike-kb and online text extract, 基于知识概念体系,百科知识库,以及在线搜索结构化方式的词语上下位抽取与可视化展示
Python tool to find semantically related Joplin notes using AI embeddings (via a configurable API) and cosine similarity. Features smart caching to save costs and outputs potential content links to a Markdown file.
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