Easiest and laziest way for building multi-agent LLMs applications.
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Updated
Aug 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
A collection of graph foundation models including papers, codes, and datasets.
Qanary a methodology to construct and share resources to build QA systems
Source code for Make it Easy: An Effective End-to-End Entity Alignment Framework. SIGIR 2021.
Build ontology view step-by-step on OpenGroup's ArchiMate 3.2 Specification
Drama-Graph repository produces both knowledge base on drama scripts and video graph for Video Turing Test (VTT).
RAG with LLM agents for SQL & graph databases
Python implementation of W3C CSV on the Web recommendation
Developed an android mobile app (GreenFinder), trained, and evaluated two deep learning image classification models for the use-case. The mobile app classifies scanned fruits, vegetables and flowers, as well as provides knowledgeable information on each classified item.
Lightweight Java Jersey Servlet for serving SUMMA API summaries
Aligning geographic entities from historical maps for building knowledge graphs
Network visualization tailored for knowledge graphs.
A visualisation which represents technology stack
Creating and Implementing FalkorDB Knowledge Graph.
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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