DISCOVER THE FUTURE OF AI AGENTS

All Projects

22 projects

Harbor

🧠

A Docker Compose-based CLI orchestrator for local LLM stacks — spin up pre-wired inference backends, frontend UIs, RAG, voice, image generation, and more with a single command

Model & Inference FrameworkMultimodalLarge Language Models

DataFlow

An all-in-one data preparation system for LLMs, supporting reproducible operator pipelines for data generation, cleaning, evaluation, and filtering.

Model & Inference FrameworkNatural Language ProcessingRAG

RuVector

A self-learning vector database integrating GNN-driven search optimization, local LLM inference, Cypher graph queries, and a PostgreSQL vector extension, deployable from WASM embeddings to Raft-distributed clusters.

Docs, Tutorials & ResourcesMachine LearningRAG

Hands-On Large Language Models

Official code repository for the O'Reilly book "Hands-On Large Language Models". Features 12 core chapters and bonus content covering Tokens, Transformers, RAG, and Fine-tuning. Includes 300+ illustrations and runnable Jupyter Notebooks optimized for Colab and local environments.

Natural Language ProcessingRAGLarge Language Models

AI Engineering Hub

A comprehensive AI engineering hub featuring 93+ production-ready projects with in-depth tutorials and implementations for LLMs, RAGs, AI Agents, and MCP, covering beginner to advanced skill levels.

OtherLarge Language ModelsModel Context Protocol

Anda

An AI agent framework built with Rust, powered by ICP blockchain and TEEs, designed to create a highly composable, autonomous, and perpetually memorizing network of AI agents.

Agent & ToolingRustLangChain

my-neuro

A customizable AI desktop companion project with character settings, voice conversations, long-term memory capabilities, and sub-1-second response times. Integrates with Live2D models for visual presentation.

Agent & ToolingPythonElectron

PageIndex

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from long documents and uses LLM reasoning for human-like retrieval, delivering superior performance in professional document analysis.

Agent & ToolingPythonRAG

DeepSeek

An LLM-powered retrieval engine designed to process extensive sources to collect comprehensive entity information, generating enriched tabular results rather than traditional research reports or answers.

Agent & ToolingTypeScriptPython

Awesome-RAG-Reasoning

A curated collection of resources that bridge the gap between Retrieval-Augmented Generation (RAG) and Reasoning in Large Language Models and Agents, featuring papers, tools, and implementations.

Docs, Tutorials & ResourcesPythonRAG
Per page

Page 1 / 3 · 22 total

STAY UPDATED

Get the latest AI tools and trends delivered straight to your inbox. No spam, just intelligence.