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linkedin.com/in/giorgiorobino
- Genova, Italia
-
09:21
(UTC +01:00) - https://sigmoid.social/@solyarisoftware
- @solyarisoftware
- https://www.convcomp.it
Starred repositories
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy
ChromaDB Data Pipes 🖇️ - The easiest way to get data into and out of ChromaDB
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Chat with your documents using Vision Language Models. This repo implements an End to End RAG pipeline with both local and proprietary VLMs
InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
Distribute and run LLMs with a single file.
Exploring and demonstrating OpenAI's Swarm framework
Versatile agents for long running, research intensive tasks.
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
SuperEasy 100% Local RAG with Ollama + Email RAG
Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
Ultra-Lightweight Durable Execution in Python
An articulation management system for REAPER
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
A collection of free MIDI chords and progressions ready to be used in your DAW, Akai MPC, or Roland MC-707/101
marcusschiesser / open-swarm
Forked from openai/swarmFramework for building, orchestrating and deploying multi-agent systems. Managed by OpenAI Solutions team. Experimental framework.
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
Converts multisamples from a source format (WAV, multisample, KMP, wavestate, NKI, SFZ, SoundFont 2) to a different destination format.
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper