ai

Persistent memory and identity protocol for AI systems with evidence-aware recall and inspectable memory.

Part of the LangChain.NET project. Has separate abstractions, does not contain dependencies on the main project and can be used independently

Benchmarking Cross-Modal Learning from Naturalistic Egocentric Video Data

CLI, MCP server, and TypeScript library that extracts text, layout, and page images from PDFs for AI agents — when extraction goes wrong, it says so per page and says what to do next.

A curated list of papers, benchmarks, project pages, and code for proactive agents.

Self-hosted multimodal AI workspace — chat, vision QA, text-to-image, image-to-image in one conversation

AgriMind: The smart LLM application that every farmer truly needs

Fine-tune a local LLM on your own chat history to mimic how you write — an AI doppelganger / digital-twin toolkit built on LLaMA-Factory (LoRA SFT).

Run IBM Granite 4.0 locally on Raspberry Pi 5 with Ollama.This is a privacy-first AI. Your data never leaves your device because it runs 100% locally. There are no cloud uploads and no third-party tracking.

AI-powered emotion detection & personalized recommendations using NLP and machine learning

Transformers PHP is a toolkit for PHP developers to add machine learning magic to their projects easily.

KV cache middleware for 1M context on 12GB VRAM. Uses K vectors as a retrieval index to fetch V on-demand from system RAM. No model modification, no retraining. Drop-in HuggingFace cache replacement.

ArcMind Vector DB

Production-ready memory framework for AI agents. Dual-agent synthesis, self-evolution, composite scoring, multi-tenant isolation. REST API, Python SDK, CLI.

The holographic core for leOS

LanceDB C# SDK

The blazingly fast in-memory vector database 🚀

GalaxDB is designed for AI and ML workloads that need more than a traditional database. Instead of stitching together a relational database, a vector store, an embedding API, and a training pipeline, GalaxDB provides all of these capabilities in one binary with a single SQL interface.

This project is a multi-modal AI voice assistant that uses LM Studio, OpenAI API or Claude Code, audio processing with WhisperModel, speech recognition, clipboard extraction, and image processing to respond to user prompts.

An invisible AI desktop assistant that evades screen capture and taskbar detection. Features instant visual analysis, live Whisper voice transcription, and robust support for premium LLMs (Anthropic, OpenAI, OpenRouter, Gemini, and local Ollama).