Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Fastest, smallest, and fully autonomous AI assistant infrastructure written in Zig

MCP server for multi-marketplace search (Vinted, eBay, Grailed, Vestiaire, Depop) — 12 tools, circuit breaker, category routing

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation

Home of the Cicada Direct Democracy and Dapp Platform

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…

Train your AI self, amplify you, bridge the world

[NeurIPS 2025] Atom of Thoughts for Markov LLM Test-Time Scaling

Build Real-Time Knowledge Graphs for AI Agents

An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.

A pattern for an always on AI Assistant powered by Deepseek-V3, RealtimeSTT, and Typer for engineering

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Code for building ConceptNet from raw data.

ConceptNet: a semantic network of common sense knowledge

An AI agent framework which uses hawkinsdb as long term memory

HawkinsDB is our take on giving AI systems a more human-like way to store and recall information, inspired by how our own brains work. Based on Jeff Hawkins' Thousand Brains Theory

Contains my configuration files

aider is AI pair programming in your terminal

An AI Hedge Fund Team

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

Everything about the SmolLM and SmolVLM family of models

A scientific instrument for investigating latent spaces

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices