Showing 1-20 of 64 projects
Privacy-first, open-source knowledge management and collaboration platform with DB graphs and real-time sync
Hierarchical note-taking app for building personal knowledge bases
LightRAG is a fast and simple Retrieval-Augmented Generation (RAG) framework for efficient knowledge retrieval and generation.
High-performance distributed graph database for real-time use cases
A Rust-based memory layer for AI agents, enabling serverless, single-file memory with instant retrieval and long-term storage.
An open-source Python library that provides a simple, efficient way to add memory and context to AI agents.
An AI-powered personalized learning assistant that leverages large language models and multi-agent systems.
KAG is a logical form-guided reasoning and retrieval framework for building Q&A solutions for knowledge bases.
Athens was an open-source, collaborative knowledge graph focused on tools for thought and note-taking.
Data transformation framework for AI with ultra-fast, incremental processing capabilities.
Prompt-To-Agent: Create custom engineering agents for your codebase using AI and knowledge graphs.
Universal memory layer for AI agents, enabling scalable persistent state management and retrieval for autonomous systems.
Builds a Neo4j graph from unstructured data using LLMs
A simple and universal swarm intelligence engine for predicting anything, built with Python.
A library for extracting knowledge graphs from unstructured text using the GPT-3 language model.
A comprehensive search tool for finding Chinese NLP datasets, with support for common English NLP datasets as well.
An open-source knowledge graph for the agriculture domain, enabling information retrieval, named entity recognition, relation extraction, and question answering.
An open toolkit for knowledge graph extraction and construction in Python.
A unified, comprehensive and efficient recommendation library for building recommendation systems.
Zep is a Python library that provides examples, integrations, and tools for working with large language models (LLMs).
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