Open-Source AI Projects on GitHub

Ανακάλυψε τα πιο δημοφιλή frameworks και βιβλιοθήκες τεχνητής νοημοσύνης.

From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

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Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.

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Automate browser based workflows with AI

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Open standard for machine learning interoperability

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Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets

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A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)

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NirDiamant/GenAI_Agents
Jupyter Notebook

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensiv...

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DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while co...

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Glamourous agentic coding for all 💘

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daily.dev is a professional network for developers to learn, collaborate, and grow together 👩🏽‍💻 👨‍💻

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A full-featured, hackable Next.js AI chatbot built by Vercel

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📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics

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kortix-ai/suna
TypeScript

Kortix – build, manage and train AI Agents.

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A TTS model capable of generating ultra-realistic dialogue in one pass.

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A lightweight, powerful framework for multi-agent workflows

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SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or comp...

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An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language mod...

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teambit/bit
TypeScript

AI-powered development workspaces with reusable components, architectural clarity and zero overhead.

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Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you ho...

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What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

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Your API ⇒ Paid MCP. Instantly.

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