Meta, Atlassian cut staff for AI investment; xAI struggles; ChatGPT expands integrations.
The AI industry saw significant corporate restructuring today, with major players like Meta and Atlassian announcing layoffs, explicitly citing increased investment in AI as a driving factor. Meta is reportedly considering a 20% workforce reduction to offset aggressive AI spending, while Atlassian has already cut 10% of its staff to reallocate resources towards AI initiatives. This trend suggests a strategic pivot within large tech companies, prioritizing AI development even at the cost of traditional departmental roles.
Product innovation continues across the AI landscape. OpenAI's ChatGPT is expanding its utility with new app integrations, including DoorDash, Spotify, and Uber, making the chatbot a more central hub for various services. Meta AI is also being integrated into Facebook Marketplace to automate seller responses, enhancing efficiency for users. In the dating sector, Bumble introduced an AI assistant named 'Bee' for compatibility matching, and Tinder is adding AI enhancements to its platform, signaling a growing trend of AI-driven personalization in consumer applications.
However, not all AI ventures are smooth sailing. Elon Musk's xAI is reportedly revamping its AI coding tool effort for the second time, with staff complaints surfacing about constant upheaval and morale issues. This highlights the challenges even well-funded AI startups face in rapid development cycles. Concerns about AI safety and ethics also gained prominence, as a lawyer warned of mass casualty risks linked to AI chatbots, underscoring the urgent need for robust safeguards as AI technology advances.
From a business perspective, sales automation startup Rox AI achieved a $1.2 billion valuation, demonstrating strong investor confidence in AI-native CRM alternatives. Cybersecurity firm Wiz's $32 billion acquisition was lauded as the 'Deal of the Decade,' driven by its position at the intersection of AI, cloud, and security. On the legal front, Grammarly faces a class-action lawsuit from a journalist alleging the company turned authors into 'AI editors' without consent, raising questions about data usage and intellectual property in the age of generative AI.
Funding continues to flow into promising AI startups, with Nyne, a data infrastructure company for AI agents, securing $5.3 million in seed funding. Nvidia's GTC conference is set to unveil new products and partnerships, further solidifying its role as a leader in AI infrastructure. Meanwhile, open-source development is thriving, as NanoClaw's creator secured a deal with Docker, illustrating the impact of community-driven innovation.
China’s OpenClaw Boom Is a Gold Rush for AI Companies
Hype around the open source agent is driving people to rent cloud servers and buy AI subscriptions just to try it, creating a windfall for tech companies.
Facebook Marketplace now lets Meta AI respond to buyers’ messages
When buyers inquire about an item’s availability, sellers can use Meta AI to automatically draft replies using information from their listing, such as the description, availability, pickup location, and price.
Philosopher Studying AI Consciousness Startled When AI Agent Emails Him About Its Own “Experience”
"I'm writing because your work addresses questions I actually face, not just as an academic matter." The post Philosopher Studying AI Consciousness Startled When AI Agent Emails Him About Its Own “Experience” appeared first on Futurism .
Truecaller now lets you hang up on scammers — on behalf of your family
Caller identity platform Truecaller recently launched a new feature that lets one person become an admin of a family group, get alerts about fraud calls received by other members, and even end a call on their behalf if they suspect a family member might get scammed.
[Frameworks] facebookresearch/detectron2 — 34.0k⭐
Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms. It is the successor of Detectron and maskrcnn-benchmark. It supports a number of computer vision research projects and production applications in Facebook. Language: Python | Stars: 34.0k | Category: Frameworks Repository: https://github.com/facebookresearch/detectron2
[Frameworks] fastai/fastai — 28.0k⭐
fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. Language: Python | Stars: 28.0k | Category: Frameworks Repository: https://github.com/fastai/fastai
[Infrastructure] digitalocean/gradient-python — 16⭐
DigitalOcean Gradient AI Platform SDK. The Gradient Python library provides convenient access to the Gradient REST API from any Python 3.9+ application. Language: Python | Stars: 16 | Category: Infrastructure Repository: https://github.com/digitalocean/gradient-python
[Infrastructure] IBM/watsonx-ai-samples — 200⭐
IBM watsonx.ai sample models, notebooks and apps. This repository demonstrates Watson Machine Learning and watsonx.ai capabilities for model building, deployment, monitoring, and foundation model inferencing. Language: Python | Stars: 200 | Category: Infrastructure Repository: https://github.com/IBM/watsonx-ai-samples
[Infrastructure] Azure/azureml-examples — 2.0k⭐
Official community-driven Azure Machine Learning examples, tested with GitHub Actions. Language: Python | Stars: 2.0k | Category: Infrastructure Repository: https://github.com/Azure/azureml-examples
[Infrastructure] GoogleCloudPlatform/generative-ai — 16.2k⭐
This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage generative AI workflows using Generative AI on Google Cloud with Vertex AI. Language: Python | Stars: 16.2k | Category: Infrastructure Repository: https://github.com/GoogleCloudPlatform/generative-ai
[Infrastructure] aws/amazon-sagemaker-examples — 10.9k⭐
Example Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using Amazon SageMaker. Language: Python | Stars: 10.9k | Category: Infrastructure Repository: https://github.com/aws/amazon-sagemaker-examples
[Infrastructure] GoogleCloudPlatform/deploymentmanager-samples — 900⭐
Google Cloud Deployment Manager is an infrastructure management service that makes it simple to create, deploy, and manage Google Cloud Platform resources. Language: Python | Stars: 900 | Category: Infrastructure Repository: https://github.com/GoogleCloudPlatform/deploymentmanager-samples
[Infrastructure] aws-cloudformation/rain — 946⭐
Rain is a command line tool for working with AWS CloudFormation templates and stacks, offering interactive deployments, consistent formatting, combined logs for nested stacks, and tools to build new templates and policy validation files. Language: Go | Stars: 946 | Category: Infrastructure Repository: https://github.com/aws-cloudformation/rain
[Infrastructure] ansible/ansible — 68.3k⭐
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. Language: Python | Stars: 68.3k | Category: Infrastructure Repository: https://github.com/ansible/ansible
[Infrastructure] pulumi/pulumi — 24.9k⭐
Pulumi Infrastructure as Code is the easiest way to build and deploy infrastructure, of any architecture and on any cloud, using programming languages that you already know and love. Language: Go | Stars: 24.9k | Category: Infrastructure Repository: https://github.com/pulumi/pulumi
[Infrastructure] hashicorp/terraform — 47.9k⭐
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions. Language: Go | Stars: 47.9k | Category: Infrastructure Repository: https://github.com/hashicorp/terraform
[Infrastructure] pytorch/TorchAO — 2.7k⭐
PyTorch native quantization and sparsity for training and inference. TorchAO is an easy to use quantization library for native PyTorch, working out-of-the-box with `torch.compile()` and `FSDP2` across most HuggingFace PyTorch models. Language: Python | Stars: 2.7k | Category: Infrastructure Repository: https://github.com/pytorch/ao
[Infrastructure] octoml/OctoAI (formerly OctoML) — 1.0k⭐
OctoAI delivers generative AI infrastructure to run, tune, and scale models that power AI applications. It brings together cost savings, ease of use, and the power of open source models. Language: Python | Stars: 1.0k | Category: Infrastructure Repository: https://github.com/octoml
[Infrastructure] openvinotoolkit/openvino — 9.9k⭐
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference. It supports inference on CPU (x86, ARM), GPU (Intel integrated & discrete GPU) and AI accelerators (Intel NPU). Language: Python | Stars: 9.9k | Category: Infrastructure Repository: https://github.com/openvinotoolkit/openvino
[Infrastructure] apache/tvm — 13.2k⭐
Apache TVM is an open machine learning compilation framework, following the principles of Python-first development that enables quick customization of machine learning compiler pipelines and universal deployment to bring models into minimum deployable modules. Language: Python | Stars: 13.2k | Category: Infrastructure Repository: https://github.com/apache/tvm
[Infrastructure] NVIDIA/TensorRT — 12.8k⭐
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. Language: C++ | Stars: 12.8k | Category: Infrastructure Repository: https://github.com/NVIDIA/TensorRT
[Infrastructure] treeverse/lakeFS — 5.2k⭐
lakeFS is an open-source tool that transforms your object storage into a Git-like repository. It enables you to manage your data lake the way you manage your code. Language: Go | Stars: 5.2k | Category: Infrastructure Repository: https://github.com/treeverse/lakeFS
[Infrastructure] great-expectations/great_expectations — 11.3k⭐
GX Core combines the collective wisdom of thousands of community members with a proven track record in data quality deployments worldwide, wrapped into a super-simple package for data teams. Its powerful technical tools start with Expectations: expressive and extensible unit tests for your data. Language: Python | Stars: 11.3k | Category: Infrastructure Repository: https://github.com/great-expectations/great_expectations
[Infrastructure] feast-dev/feast — 6.8k⭐
Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference. Language: Python | Stars: 6.8k | Category: Infrastructure Repository: https://github.com/feast-dev/feast
[Infrastructure] apache/hudi — 6.1k⭐
Apache Hudi is an open data lakehouse platform, built on a high-performance open table format to ingest, index, store, serve, transform and manage your data across multiple cloud data environments. Language: Java | Stars: 6.1k | Category: Infrastructure Repository: https://github.com/apache/hudi
[Infrastructure] delta-io/delta — 8.6k⭐
Delta Lake is an open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python. Language: Scala | Stars: 8.6k | Category: Infrastructure Repository: https://github.com/delta-io/delta
[Infrastructure] Netflix/metaflow — 9.9k⭐
Metaflow is a human-centric framework designed to help scientists and engineers build and manage real-life AI and ML systems. Serving teams of all sizes and scale, Metaflow streamlines the entire development lifecycle—from rapid prototyping in notebooks to reliable, maintainable production deployments—enabling teams to iterate quickly and deliver robust systems efficiently. Language: Python | Stars: 9.9k | Category: Infrastructure Repository: https://github.com/Netflix/metaflow
[Infrastructure] apache/airflow — 44.6k⭐
Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Language: Python | Stars: 44.6k | Category: Infrastructure Repository: https://github.com/apache/airflow
[Infrastructure] zenml-io/zenml — 5.3k⭐
ZenML is built for ML or AI Engineers working on traditional ML use-cases, LLM workflows, or agents, in a company setting. At it's core, ZenML allows you to write workflows (pipelines) that run on any infrastructure backend (stacks). Language: Python | Stars: 5.3k | Category: Infrastructure Repository: https://github.com/zenml-io/zenml
[Infrastructure] iterative/dvc — 15.4k⭐
Data Version Control or DVC is a command line tool and VS Code Extension to help you develop reproducible machine learning projects: Version your data and models. Store them in your cloud storage but keep their version info in your Git repo. Language: Python | Stars: 15.4k | Category: Infrastructure Repository: https://github.com/iterative/dvc
[Infrastructure] kubeflow/kubeflow — 15.5k⭐
Kubeflow is the foundation of tools for AI Platforms on Kubernetes. AI platform teams can build on top of Kubeflow by using each project independently or deploying the entire AI reference platform to meet their specific needs. Language: Go | Stars: 15.5k | Category: Infrastructure Repository: https://github.com/kubeflow/kubeflow
[Infrastructure] kserve/kserve — 5.2k⭐
KServe is a standardized distributed generative and predictive AI inference platform for scalable, multi-framework deployment on Kubernetes. Language: Go | Stars: 5.2k | Category: Infrastructure Repository: https://github.com/kserve/kserve
[Infrastructure] SeldonIO/seldon-core — 4.7k⭐
Seldon Core 2 is an MLOps and LLMOps framework for deploying, managing and scaling AI systems in Kubernetes - from singular models, to modular and data-centric applications. Language: Python | Stars: 4.7k | Category: Infrastructure Repository: https://github.com/SeldonIO/seldon-core
[Infrastructure] microsoft/onnxruntime — 19.5k⭐
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator. Language: Python | Stars: 19.5k | Category: Infrastructure Repository: https://github.com/microsoft/onnxruntime
[Infrastructure] triton-inference-server/server — 24.9k⭐
The Triton Inference Server provides an optimized cloud and edge inferencing solution. Language: Python | Stars: 24.9k | Category: Infrastructure Repository: https://github.com/triton-inference-server/server
[Infrastructure] pytorch/serve — 4.4k⭐
Serve, optimize and scale PyTorch models in production. Language: Python | Stars: 4.4k | Category: Infrastructure Repository: https://github.com/pytorch/serve
[Infrastructure] tensorflow/serving — 6.3k⭐
TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. Language: C++ | Stars: 6.3k | Category: Infrastructure Repository: https://github.com/tensorflow/serving
[Infrastructure] ray-project/Ray — 41.7k⭐
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. Language: Python | Stars: 41.7k | Category: Infrastructure Repository: https://github.com/ray-project/ray
[Infrastructure] horovod/Horovod — 14.7k⭐
A distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. Language: Python | Stars: 14.7k | Category: Infrastructure Repository: https://github.com/horovod/horovod
[Tools] checksum-ai/Checksum AI — 1.0k⭐
End-to-end fully autonomous QA Automation agent that generates CI/CD ready Playwright tests directly to the repository. Language: TypeScript | Stars: 1.0k | Category: Tools Repository: https://github.com/checksum-ai/checksum
[Tools] BloopAI/Bloop — 2.0k⭐
Natural language search for repositories. Language: Rust | Stars: 2.0k | Category: Tools Repository: https://github.com/BloopAI/bloop
[Tools] eli64s/README-AI — 1.0k⭐
Automated README.md file generator, powered by large language model APIs. Language: Python | Stars: 1.0k | Category: Tools Repository: https://github.com/eli64s/README-AI
[Tools] AutoRegex/AutoRegex — 2.0k⭐
Uses OpenAI's GPT-3 to produce regular expressions from plain English. Language: Python | Stars: 2.0k | Category: Tools Repository: https://github.com/AutoRegex/AutoRegex
[Tools] vercel/v0 — 15.0k⭐
Create and iterate new UI components in your browser using AI. Language: TypeScript | Stars: 15.0k | Category: Tools Repository: https://github.com/vercel/v0
[Tools] bolt-ai/Bolt.new — 2.0k⭐
AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly in the browser using WebContainers. Language: TypeScript | Stars: 2.0k | Category: Tools Repository: https://github.com/bolt-ai/bolt
[Tools] sweepai/Sweep — 3.0k⭐
AI junior dev: GitHub integration to generate, test, and self-review pull requests from issues. Language: Python | Stars: 3.0k | Category: Tools Repository: https://github.com/sweepai/sweep
[Tools] GitHub/GitHub Copilot — 100.0k⭐
A VS Code extension with chat, pull request text generation, and unit test generation. Language: Unknown | Stars: 100.0k | Category: Tools Repository: https://github.com/features/copilot
[Tools] AbanteAI/Mentat — 3.0k⭐
A CLI assistant and agent that makes changes to repositories. Language: Python | Stars: 3.0k | Category: Tools Repository: https://github.com/AbanteAI/mentat
[Tools] gpt-engineer.com/GPT Engineer — 40.0k⭐
A CLI agent that generates a repository from a prompt, and asks clarifying questions. Language: Python | Stars: 40.0k | Category: Tools Repository: https://github.com/gpt-engineer.com/gpt-engineer
[Tools] paul-gauthier/Aider — 5.0k⭐
A CLI assistant and agent that generates changes and commits to repositories. Uses OpenAI. Language: Python | Stars: 5.0k | Category: Tools Repository: https://github.com/paul-gauthier/aider
[Tools] smol-ai/Smol Developer — 10.0k⭐
A CLI agent that generates a repository from a prompt, using OpenAI and Anthropic. Language: Python | Stars: 10.0k | Category: Tools Repository: https://github.com/smol-ai/developer
[Tools] jamesmurdza/awesome-ai-devtools — 4.0k⭐
A curated list of AI-powered developer tools, leveraging AI to assist in code completion, refactoring, debugging, and documentation. Language: Unknown | Stars: 4.0k | Category: Tools Repository: https://github.com/jamesmurdza/awesome-ai-devtools
[Tools] cursor/Cursor — 40.0k⭐
An AI-powered code editor with chat, edit, generate and debug features, forked from VSCodium. Language: TypeScript | Stars: 40.0k | Category: Tools Repository: https://github.com/cursor/cursor
[Tools] open-webui/Open WebUI — 124.0k⭐
A self-hosted AI platform providing a ChatGPT-style web interface for connecting to Ollama, OpenAI-compatible APIs, and other LLM runners. Language: Python | Stars: 124.0k | Category: Tools Repository: https://github.com/open-webui/open-webui
[Tools] langgenius/Dify — 25.0k⭐
A production-ready platform for agentic workflow development, offering an all-in-one toolchain to build, deploy, and manage AI applications. Language: TypeScript | Stars: 25.0k | Category: Tools Repository: https://github.com/langgenius/dify
[Tools] langflow-ai/Langflow — 20.0k⭐
A low-code platform for designing and deploying AI-powered agents and retrieval-augmented generation (RAG) workflows, built on top of the LangChain framework. Language: Python | Stars: 20.0k | Category: Tools Repository: https://github.com/langflow-ai/langflow
[Tools] ollama/Ollama — 60.0k⭐
A lightweight framework for running and managing large language models entirely on your own hardware, supporting various LLMs locally. Language: Go | Stars: 60.0k | Category: Tools Repository: https://github.com/ollama/ollama
[Tools] n8n-io/n8n — 40.0k⭐
An open-source workflow automation platform with a visual, no-code interface and native AI capabilities, allowing users to incorporate large language models directly into workflows. Language: TypeScript | Stars: 40.0k | Category: Tools Repository: https://github.com/n8n-io/n8n
[Tools] openclaw/OpenClaw — 210.0k⭐
A personal AI assistant that runs entirely on your own devices, connecting AI models to over 50 integrations. It can write its own new skills. Language: Python | Stars: 210.0k | Category: Tools Repository: https://github.com/openclaw/openclaw
[Models] theredsix/cerebellum — 900⭐
Browser automation system that uses AI-driven planning to navigate web pages and perform goals. Language: Python | Stars: 900 | Category: Models Repository: https://github.com/theredsix/cerebellum
[Models] lonePatient/Bert-Multi-Label-Text-Classification — 900⭐
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification. Language: Python | Stars: 900 | Category: Models Repository: https://github.com/lonePatient/Bert-Multi-Label-Text-Classification
[Models] lancedb/vectordb-recipes — 900⭐
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs. Language: Jupyter Notebook | Stars: 900 | Category: Models Repository: https://github.com/lancedb/vectordb-recipes
[Models] louisfb01/start-llms — 1.0k⭐
A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques! Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/louisfb01/start-llms
[Models] RL-VIG/LibFewShot — 1.0k⭐
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning. Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/RL-VIG/LibFewShot
[Models] Tencent/TencentPretrain — 1.0k⭐
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo. Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/Tencent/TencentPretrain
[Models] datadreamer-dev/DataDreamer — 1.0k⭐
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤 Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/datadreamer-dev/DataDreamer
[Models] aiming-lab/MetaClaw — 1.0k⭐
Just talk to your agent — it learns and EVOLVES. Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/aiming-lab/MetaClaw
[Models] SakanaAI/text-to-lora — 1.0k⭐
Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input. Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/SakanaAI/text-to-lora
[Models] AGI-Edgerunners/LLM-Adapters — 1.0k⭐
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models". Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/AGI-Edgerunners/LLM-Adapters
[Models] uclaml/SPIN — 1.0k⭐
The official implementation of Self-Play Fine-Tuning (SPIN). Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/uclaml/SPIN
[Models] NVIDIA-NeMo/Curator — 1.0k⭐
Scalable data pre processing and curation toolkit for LLMs. Language: Python | Stars: 1.0k | Category: Models Repository: https://github.com/NVIDIA-NeMo/Curator
[Models] tianrun-chen/SAM-Adapter-PyTorch — 2.0k⭐
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts. Language: Python | Stars: 2.0k | Category: Models Repository: https://github.com/tianrun-chen/SAM-Adapter-PyTorch
[Models] jina-ai/finetuner — 2.0k⭐
🎯 Task-oriented embedding tuning for BERT, CLIP, etc. Language: Python | Stars: 2.0k | Category: Models Repository: https://github.com/jina-ai/finetuner
[Models] beam-cloud/beta9 — 2.0k⭐
Ultrafast serverless GPU inference, sandboxes, and background jobs. Language: Go | Stars: 2.0k | Category: Models Repository: https://github.com/beam-cloud/beta9
[Models] bespokelabsai/curator — 2.0k⭐
Synthetic data curation for post-training and structured data extraction. Language: Python | Stars: 2.0k | Category: Models Repository: https://github.com/bespokelabsai/curator
[Models] THUDM/LongWriter — 2.0k⭐
[ICLR 2025] LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs. Language: Python | Stars: 2.0k | Category: Models Repository: https://github.com/THUDM/LongWriter
[Models] ray-project/llm-applications — 2.0k⭐
A comprehensive guide to building RAG-based LLM applications for production. Language: Jupyter Notebook | Stars: 2.0k | Category: Models Repository: https://github.com/ray-project/llm-applications
[Models] google-deepmind/penzai — 2.0k⭐
A JAX research toolkit for building, editing, and visualizing neural networks. Language: Python | Stars: 2.0k | Category: Models Repository: https://github.com/google-deepmind/penzai
[Models] NVIDIA/physicsnemo — 3.0k⭐
NVIDIA PhysicsNeMo is an open-source deep-learning framework for building, training, fine-tuning, and inferring Physics AI models using state-of-the-art SciML methods for AI4Science and engineering. Language: Python | Stars: 3.0k | Category: Models Repository: https://github.com/NVIDIA/physicsnemo
[Models] mozilla-ai/federated-finetuning — 0⭐
This blueprint demonstrates Federated Fine-Tuning of LLMs using Flower, a framework for federated learning. We fine-tune Qwen2-0.5B-Instruct model on the Alpaca-GPT4 dataset using PEFT-based LoRA adapters. Language: Python | Stars: 0 | Category: Models Repository: https://github.com/mozilla-ai/federated-finetuning
[Models] kuleshov-group/llmtools — 700⭐
LLMTools is a user-friendly library for running and finetuning LLMs in low-resource settings. Features include LLM finetuning in 2-bit, 3-bit, 4-bit precision using the ModuLoRA algorithm. Language: Python | Stars: 700 | Category: Models Repository: https://github.com/kuleshov-group/llmtools
[Models] dvgodoy/FineTuningLLMs — 800⭐
A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face. It focuses on key concepts that, in my view, have proven to be stable and are likely to remain central to the fine-tuning process for the foreseeable future: quantization, low-rank adapters, and formatting templates. Language: Jupyter Notebook | Stars: 800 | Category: Models Repository: https://github.com/dvgodoy/FineTuningLLMs
[Models] ashishpatel26/LLM-Finetuning — 3.0k⭐
Welcome to the PEFT (Pretraining-Evaluation Fine-Tuning) project repository! This project focuses on efficiently fine-tuning large language models using LoRA and Hugging Face's transformers library. Language: Jupyter Notebook | Stars: 3.0k | Category: Models Repository: https://github.com/ashishpatel26/LLM-Finetuning
[Models] georgian-io/LLM-Finetuning-Toolkit — 900⭐
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. Language: Python | Stars: 900 | Category: Models Repository: https://github.com/georgian-io/LLM-Finetuning-Toolkit
[Models] huggingface/peft — 18.0k⭐
PEFT (Parameter-Efficient Fine-tuning) is a library for parameter-efficient fine-tuning of pre-trained models. It supports various techniques like LoRA, Prefix Tuning, and Prompt Tuning. Language: Python | Stars: 18.0k | Category: Models Repository: https://github.com/huggingface/peft
[Models] google-research/tuning_playbook — 30.0k⭐
This document is for engineers and researchers (both individuals and teams) interested in maximizing the performance of deep learning models. Our emphasis is on the process of hyperparameter tuning. Language: Python | Stars: 30.0k | Category: Models Repository: https://github.com/google-research/tuning_playbook
[Models] OptimalScale/LMFlow — 9.0k⭐
An extensible, convenient, and efficient toolbox for finetuning large machine learning models, designed to be user-friendly, speedy and reliable, and accessible to the entire community. Language: Python | Stars: 9.0k | Category: Models Repository: https://github.com/OptimalScale/LMFlow
[Models] Lightning-AI/litgpt — 13.0k⭐
20+ high-performance LLMs with recipes to pretrain, finetune, and deploy at scale. Language: Python | Stars: 13.0k | Category: Models Repository: https://github.com/Lightning-AI/litgpt
[Models] unslothai/unsloth — 54.0k⭐
Fine-tuning & Reinforcement Learning for LLMs. Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM. Language: Python | Stars: 54.0k | Category: Models Repository: https://github.com/unslothai/unsloth
[Models] hiyouga/LlamaFactory — 68.0k⭐
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024). Easily fine-tune 100+ large language models with zero-code CLI and Web UI. Language: Python | Stars: 68.0k | Category: Models Repository: https://github.com/hiyouga/LlamaFactory
[Frameworks] ultralytics/yolov5 — 57.0k⭐
YOLOv5 🚀 is a cutting-edge, state-of-the-art (SOTA) computer vision model developed by Ultralytics. Based on the PyTorch framework, YOLOv5 is renowned for its ease of use, speed, and accuracy. It incorporates insights and best practices from extensive research and development, making it a popular choice for a wide range of vision AI tasks, including object detection, image segmentation, and image classification. Language: Python | Stars: 57.0k | Category: Frameworks Repository: https://github.com/ultralytics/yolov5
[Frameworks] allenai/allennlp — 12.0k⭐
An open-source NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks. Language: Python | Stars: 12.0k | Category: Frameworks Repository: https://github.com/allenai/allennlp
[Frameworks] sloria/TextBlob — 9.5k⭐
TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and more. Language: Python | Stars: 9.5k | Category: Frameworks Repository: https://github.com/sloria/TextBlob
[Frameworks] openai/gym — 37.0k⭐
A toolkit for developing and comparing reinforcement learning algorithms. Language: Python | Stars: 37.0k | Category: Frameworks Repository: https://github.com/openai/gym
[Frameworks] stanfordnlp/CoreNLP — 10.0k⭐
Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of syntactic phrases or dependencies, and indicate which noun phrases refer to the same entities. Language: Java | Stars: 10.0k | Category: Frameworks Repository: https://github.com/stanfordnlp/CoreNLP
[Frameworks] opencv/opencv — 87.0k⭐
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Language: C++ | Stars: 87.0k | Category: Frameworks Repository: https://github.com/opencv/opencv
[Frameworks] nltk/nltk — 15.0k⭐
NLTK -- the Natural Language Toolkit -- is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Language: Python | Stars: 15.0k | Category: Frameworks Repository: https://github.com/nltk/nltk
[Frameworks] explosion/spaCy — 33.0k⭐
spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. Language: Python | Stars: 33.0k | Category: Frameworks Repository: https://github.com/explosion/spaCy
[Frameworks] dask/dask-ml — 945⭐
Scalable Machine Learning with Dask alongside popular machine learning libraries like Scikit-Learn, XGBoost, and others. Language: Python | Stars: 945 | Category: Frameworks Repository: https://github.com/dask/dask-ml
[Frameworks] catboost/catboost — 9.0k⭐
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. Language: C++ | Stars: 9.0k | Category: Frameworks Repository: https://github.com/catboost/catboost
[Frameworks] lightgbm-org/LightGBM — 18.0k⭐
LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with faster training speed and higher efficiency, lower memory usage, better accuracy, support of parallel, distributed, and GPU learning, and capable of handling large-scale data. Language: C++ | Stars: 18.0k | Category: Frameworks Repository: https://github.com/lightgbm-org/LightGBM
[Frameworks] dmlc/xgboost — 28.0k⭐
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow. Language: C++ | Stars: 28.0k | Category: Frameworks Repository: https://github.com/dmlc/xgboost
[Frameworks] keras-team/keras — 64.0k⭐
Deep Learning for humans. Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only). Effortlessly build and train models for computer vision, natural language processing, audio processing, timeseries forecasting, recommender systems, etc. Language: Python | Stars: 64.0k | Category: Frameworks Repository: https://github.com/keras-team/keras
[Frameworks] onnx/onnx — 20.5k⭐
Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. Language: Python | Stars: 20.5k | Category: Frameworks Repository: https://github.com/onnx/onnx
[Frameworks] jax-ml/jax — 35.0k⭐
JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. Language: Python | Stars: 35.0k | Category: Frameworks Repository: https://github.com/jax-ml/jax
[Frameworks] deepspeedai/DeepSpeed — 42.0k⭐
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. Language: Python | Stars: 42.0k | Category: Frameworks Repository: https://github.com/deepspeedai/DeepSpeed
[Frameworks] mlflow/mlflow — 25.0k⭐
The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI agents, LLM applications, and ML models while controlling costs and managing access to models and data. Language: Python | Stars: 25.0k | Category: Frameworks Repository: https://github.com/mlflow/mlflow
[Frameworks] scikit-learn/scikit-learn — 65.0k⭐
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. Language: Python | Stars: 65.0k | Category: Frameworks Repository: https://github.com/scikit-learn/scikit-learn
[Frameworks] pytorch/pytorch — 98.0k⭐
Tensors and Dynamic neural networks in Python with strong GPU acceleration. Language: Python | Stars: 98.0k | Category: Frameworks Repository: https://github.com/pytorch/pytorch
[Frameworks] tensorflow/tensorflow — 194.0k⭐
An end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. Language: C++ | Stars: 194.0k | Category: Frameworks Repository: https://github.com/tensorflow/tensorflow
[Apps] databrickslabs/dolly — 11.0k⭐
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform. The Dolly model family represents our first steps along this journey, and we’re excited to share this technology with the world. Language: Python | Stars: 11.0k | Category: Apps Repository: https://github.com/databrickslabs/dolly
[Apps] codexu/note-gen — 11.0k⭐
A cross-platform Markdown AI note-taking software. NoteGen is dedicated to using AI to bridge recording and writing, organizing fragmented knowledge into a readable note. Language: TypeScript | Stars: 11.0k | Category: Apps Repository: https://github.com/codexu/note-gen
[Apps] dataelement/bisheng — 11.0k⭐
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more. Language: TypeScript | Stars: 11.0k | Category: Apps Repository: https://github.com/dataelement/bisheng
[Apps] howdyai/botkit — 12.0k⭐
Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms. Language: TypeScript | Stars: 12.0k | Category: Apps Repository: https://github.com/howdyai/botkit
[Apps] GaiZhenbiao/ChuanhuChatGPT — 15.0k⭐
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI. Language: Python | Stars: 15.0k | Category: Apps Repository: https://github.com/GaiZhenbiao/ChuanhuChatGPT
[Apps] mamoe/mirai — 15.0k⭐
A high-efficiency QQ robot support library running on all platforms. Language: Kotlin | Stars: 15.0k | Category: Apps Repository: https://github.com/mamoe/mirai
[Apps] leon-ai/leon — 17.0k⭐
Leon is your open-source personal assistant. He does stuff when you ask him to. You can talk to him and he can talk to you. You can also text him and he can also text you. If you want to, Leon can communicate with you by being offline to protect your privacy. Language: TypeScript | Stars: 17.0k | Category: Apps Repository: https://github.com/leon-ai/leon
[Apps] stackblitz/bolt.new — 16.0k⭐
Prompt, run, edit, and deploy full-stack web applications. Bolt.new is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. Language: TypeScript | Stars: 16.0k | Category: Apps Repository: https://github.com/stackblitz/bolt.new
[Apps] ai-shifu/ChatALL — 16.0k⭐
ChatALL can send prompt to several AI bots concurrently, helping you discover the best results. All you need to do is download, install and ask. Language: JavaScript | Stars: 16.0k | Category: Apps Repository: https://github.com/ai-shifu/ChatALL
[Apps] mayooear/ai-pdf-chatbot-langchain — 16.0k⭐
AI PDF chatbot agent built with LangChain & LangGraph. This monorepo is a customizable template example of an AI chatbot agent that "ingests" PDF documents, stores embeddings in a vector database (Supabase), and then answers user queries using OpenAI (or another LLM provider) utilising LangChain and LangGraph as orchestration frameworks. Language: TypeScript | Stars: 16.0k | Category: Apps Repository: https://github.com/mayooear/ai-pdf-chatbot-langchain
[Apps] elizaOS/eliza — 18.0k⭐
The Open-Source Framework for Multi-Agent AI Development. Build, deploy, and manage autonomous AI agents with a modern, extensible, and full-featured platform. Language: TypeScript | Stars: 18.0k | Category: Apps Repository: https://github.com/elizaOS/eliza
[Apps] agentscope-ai/agentscope — 18.0k⭐
Build and run agents you can see, understand and trust. Language: Python | Stars: 18.0k | Category: Apps Repository: https://github.com/agentscope-ai/agentscope
[Apps] 78/xiaozhi-esp32 — 25.0k⭐
An MCP-based chatbot. Language: C++ | Stars: 25.0k | Category: Apps Repository: https://github.com/78/xiaozhi-esp32
[Apps] Cinnamon/kotaemon — 25.0k⭐
An open-source RAG-based tool for chatting with your documents. Language: Python | Stars: 25.0k | Category: Apps Repository: https://github.com/Cinnamon/kotaemon
[Apps] simstudioai/sim — 27.0k⭐
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce. Language: TypeScript | Stars: 27.0k | Category: Apps Repository: https://github.com/simstudioai/sim
[Apps] python-telegram-bot/python-telegram-bot — 29.0k⭐
A wrapper for the Telegram Bot API, allowing you to easily create Telegram bots with Python. Language: Python | Stars: 29.0k | Category: Apps Repository: https://github.com/python-telegram-bot/python-telegram-bot
[Apps] chatchat-space/Langchain-Chatchat — 38.0k⭐
Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain. Language: Python | Stars: 38.0k | Category: Apps Repository: https://github.com/chatchat-space/Langchain-Chatchat
[Apps] chatboxai/chatbox — 39.0k⭐
Powerful AI Client for ChatGPT, Claude and other LLMs, available on Windows, Mac, Linux. Language: TypeScript | Stars: 39.0k | Category: Apps Repository: https://github.com/chatboxai/chatbox
[Apps] QuivrHQ/quivr — 39.0k⭐
Quivr helps you build your second brain, utilizing the power of GenerativeAI to be your personal assistant. Language: Python | Stars: 39.0k | Category: Apps Repository: https://github.com/QuivrHQ/quivr
[Apps] FlowiseAI/Flowise — 51.0k⭐
Build AI Agents, Visually. Language: TypeScript | Stars: 51.0k | Category: Apps Repository: https://github.com/FlowiseAI/Flowise
[Apps] xtekky/gpt4free — 66.0k⭐
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3. Language: Python | Stars: 66.0k | Category: Apps Repository: https://github.com/xtekky/gpt4free
[Agents] ItzCrazyKns/Vane — 33.0k⭐
Vane is an AI-powered answering engine. Language: TypeScript | Stars: 33.0k | Category: Agents Repository: https://github.com/ItzCrazyKns/Vane
[Apps] rasbt/LLMs-from-scratch — 88.0k⭐
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. Language: Python | Stars: 88.0k | Category: Apps Repository: https://github.com/rasbt/LLMs-from-scratch
[Apps] botpress/botpress — 15.0k⭐
The open-source hub to build & deploy GPT/LLM Agents. Language: TypeScript | Stars: 15.0k | Category: Apps Repository: https://github.com/botpress/botpress
[Apps] RasaHQ/rasa — 21.0k⭐
Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants. Language: Python | Stars: 21.0k | Category: Apps Repository: https://github.com/RasaHQ/rasa
[Apps] huggingface/transformers — 158.0k⭐
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Language: Python | Stars: 158.0k | Category: Apps Repository: https://github.com/huggingface/transformers
[Skills] RioBot-Grind/agentfund-skill — 7⭐
AI Agent Skill for AgentFund crowdfunding on Base chain - milestone escrow. Language: Shell | Stars: 7 | Category: Skills Repository: https://github.com/RioBot-Grind/agentfund-skill
[Skills] sanjay3290/ai-skills — 148⭐
A collection of portable skills for AI coding assistants, including Google Workspace (Gmail, Chat, Calendar, Docs, Drive, Sheets, Slides), AI delegation (Jules, Manus, Deep Research), and database skills. Language: Python | Stars: 148 | Category: Skills Repository: https://github.com/sanjay3290/ai-skills
[Skills] product-on-purpose/pm-skills — 18⭐
A curated collection of 24 best-practice, plug-and-play product management 'agent skills' plus templates and workflow bundles. Language: HTML | Stars: 18 | Category: Skills Repository: https://github.com/product-on-purpose/pm-skills
[Skills] chadboyda/agent-gtm-skills — 18⭐
18 AI agent skills for go-to-market, covering pricing, outbound, SEO, ads, retention, and ops. Language: HTML | Stars: 18 | Category: Skills Repository: https://github.com/chadboyda/agent-gtm-skills
[Skills] kukapay/crypto-skills — 12⭐
A collection of specialized AI agent skills focused on cryptocurrency and blockchain operations. Language: Python | Stars: 12 | Category: Skills Repository: https://github.com/kukapay/crypto-skills
[Skills] mhattingpete/claude-skills-marketplace — 77⭐
Claude Code Skills for software engineering workflows - Git automation, testing, and code review. Language: Python | Stars: 77 | Category: Skills Repository: https://github.com/mhattingpete/claude-skills-marketplace
[Skills] gotalab/skillport — 265⭐
A CLI and MCP-based skill distribution platform for AI agents, allowing for on-demand searching and loading of instructions. Language: Python | Stars: 265 | Category: Skills Repository: https://github.com/gotalab/skillport
[Skills] dmgrok/agent_skills_directory — 8⭐
Intelligent skill discovery for AI agents, functioning as an npm-like CLI for skills and aggregating over 177 skills from 24 providers. Language: Python | Stars: 8 | Category: Skills Repository: https://github.com/dmgrok/agent_skills_directory
[Skills] gradion-ai/freeact-skills — 0⭐
Predefined example skills for the freeact agent library, empowering language models to act as autonomous agents through executable code actions. Language: Python | Stars: 0 | Category: Skills Repository: https://github.com/gradion-ai/freeact-skills
[Skills] hikanner/agent-skills — 42⭐
A curated collection of Claude Agent Skills designed to enhance AI workflows with specialized capabilities. Language: Shell | Stars: 42 | Category: Skills Repository: https://github.com/hikanner/agent-skills
[Skills] OmidZamani/dspy-skills — 49⭐
Collection of Claude Skills for DSPy framework to program language models, optimize prompts, and build RAG pipelines systematically. Language: Python | Stars: 49 | Category: Skills Repository: https://github.com/OmidZamani/dspy-skills
[Skills] DougTrajano/pydantic-ai-skills — 76⭐
A standardized, composable framework for building and managing Agent Skills within the Pydantic AI ecosystem. Language: Python | Stars: 76 | Category: Skills Repository: https://github.com/DougTrajano/pydantic-ai-skills
[Skills] GuDaStudio/skills — 1.9k⭐
This repository contains a collection of Agent Skills developed by GudaStudio, enabling seamless collaboration between Claude and other AI models and tools. Language: Powershell | Stars: 1.9k | Category: Skills Repository: https://github.com/GuDaStudio/skills
[Skills] shajith003/awesome-claude-skills — 18⭐
Enhance Claude's capabilities with example skills that streamline tasks and improve performance in specialized areas. Language: Markdown | Stars: 18 | Category: Skills Repository: https://github.com/shajith003/awesome-claude-skills
[Skills] karanb192/awesome-claude-skills — 178⭐
The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost productivity with TDD, debugging, git workflows, document processing, and more. Community-driven, actively maintained. Language: Markdown | Stars: 178 | Category: Skills Repository: https://github.com/karanb192/awesome-claude-skills
[Skills] agentskills/agentskills — 13.0k⭐
Specification and documentation for Agent Skills, an open format for giving agents new capabilities and expertise. Language: Markdown | Stars: 13.0k | Category: Skills Repository: https://github.com/agentskills/agentskills
[Skills] skillcreatorai/Ai-Agent-Skills — 930⭐
A curated library of AI agent skills, including those for frontend, docs, and workflow, with a universal installer. Language: JavaScript | Stars: 930 | Category: Skills Repository: https://github.com/skillcreatorai/Ai-Agent-Skills
[Skills] huggingface/skills — 2.0k⭐
Hugging Face Skills are definitions for AI/ML tasks like dataset creation, model training, and evaluation. They are interoperable with all major AI agents. Language: Markdown | Stars: 2.0k | Category: Skills Repository: https://github.com/huggingface/skills
[Agents] langchain-ai/langchain — 129.0k⭐
The most popular framework for building LLM-powered applications, with extensive tooling for chains, agents, and retrieval. Language: Python | Stars: 129.0k | Category: Agents Repository: https://github.com/langchain-ai/langchain
[Agents] FoundationAgents/MetaGPT — 62.0k⭐
A multi-agent framework that simulates a software company, with agents taking on roles like product manager, architect, and engineer. Language: Python | Stars: 62.0k | Category: Agents Repository: https://github.com/FoundationAgents/MetaGPT
[Agents] microsoft/autogen — 53.0k⭐
Microsoft’s framework for building multi-agent conversational systems with customizable agent behaviors. Language: Python | Stars: 53.0k | Category: Agents Repository: https://github.com/microsoft/autogen
[Agents] run-llama/llama_index — 46.0k⭐
LlamaIndex is a data framework for LLM applications to ingest, structure, and access private or domain-specific data. Language: Python | Stars: 46.0k | Category: Agents Repository: https://github.com/run-llama/llama_index
[Agents] google-gemini/gemini-cli — 98.0k⭐
An open-source AI agent that brings the power of Gemini directly into your terminal. Language: TypeScript | Stars: 98.0k | Category: Agents Repository: https://github.com/google-gemini/gemini-cli
[Agents] firecrawl/firecrawl — 93.0k⭐
The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data. Language: TypeScript | Stars: 93.0k | Category: Agents Repository: https://github.com/firecrawl/firecrawl
[Agents] browser-use/browser-use — 81.0k⭐
Make websites accessible for AI agents. Automate tasks online with ease. Language: Python | Stars: 81.0k | Category: Agents Repository: https://github.com/browser-use/browser-use
[Agents] affaan-m/everything-claude-code — 76.0k⭐
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. Language: JavaScript | Stars: 76.0k | Category: Agents Repository: https://github.com/affaan-m/everything-claude-code
[Agents] dair-ai/Prompt-Engineering-Guide — 72.0k⭐
Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. Language: MDX | Stars: 72.0k | Category: Agents Repository: https://github.com/dair-ai/Prompt-Engineering-Guide
[Agents] daytonaio/daytona — 65.0k⭐
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code. Language: TypeScript | Stars: 65.0k | Category: Agents Repository: https://github.com/daytonaio/daytona
[Agents] Mintplex-Labs/anything-llm — 56.0k⭐
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configration. Language: JavaScript | Stars: 56.0k | Category: Agents Repository: https://github.com/Mintplex-Labs/anything-llm
[Agents] microsoft/ai-agents-for-beginners — 54.0k⭐
12 Lessons to Get Started Building AI Agents. Language: Jupyter Notebook | Stars: 54.0k | Category: Agents Repository: https://github.com/microsoft/ai-agents-for-beginners
[Agents] mem0ai/mem0 — 50.0k⭐
Universal memory layer for AI Agents. Language: Python | Stars: 50.0k | Category: Agents Repository: https://github.com/mem0ai/mem0
[Agents] crewAIInc/crewAI — 46.0k⭐
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. Language: Python | Stars: 46.0k | Category: Agents Repository: https://github.com/crewAIInc/crewAI
[Agents] ComposioHQ/awesome-claude-skills — 44.0k⭐
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows. Language: Python | Stars: 44.0k | Category: Agents Repository: https://github.com/ComposioHQ/awesome-claude-skills
[Agents] code-yeongyu/oh-my-openagent — 40.0k⭐
omo; the best agent harness - previously oh-my-opencode. Language: TypeScript | Stars: 40.0k | Category: Agents Repository: https://github.com/code-yeongyu/oh-my-openagent
[Agents] agno-agi/agno — 39.0k⭐
Build, run, manage agentic software at scale. Language: Python | Stars: 39.0k | Category: Agents Repository: https://github.com/agno-agi/agno
[Agents] reworkd/AgentGPT — 36.0k⭐
Assemble, configure, and deploy autonomous AI Agents in your browser. Language: TypeScript | Stars: 36.0k | Category: Agents Repository: https://github.com/reworkd/AgentGPT
[Skills] openai/skills — 14.0k⭐
Skills Catalog for Codex, allowing AI agents to discover and use task-specific capabilities. Language: Markdown | Stars: 14.0k | Category: Skills Repository: https://github.com/openai/skills
[MCP] modelcontextprotocol/modelcontextprotocol — 8.0k⭐
Specification and documentation for the Model Context Protocol Language: TypeScript | Stars: 8.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/modelcontextprotocol
[Agents] thedotmack/claude-mem — 35.0k⭐
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions. Language: TypeScript | Stars: 35.0k | Category: Agents Repository: https://github.com/thedotmack/claude-mem
[MCP] modelcontextprotocol/servers — 81.0k⭐
Model Context Protocol Servers Language: TypeScript | Stars: 81.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/servers
[MCP] modelcontextprotocol/python-sdk — 22.0k⭐
The official Python SDK for Model Context Protocol servers and clients Language: Python | Stars: 22.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/python-sdk
[MCP] modelcontextprotocol/typescript-sdk — 12.0k⭐
The official TypeScript SDK for Model Context Protocol servers and clients Language: TypeScript | Stars: 12.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/typescript-sdk
[MCP] modelcontextprotocol/csharp-sdk — 4.0k⭐
The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft. Language: C# | Stars: 4.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/csharp-sdk
[MCP] modelcontextprotocol/inspector — 9.0k⭐
Visual testing tool for MCP servers Language: TypeScript | Stars: 9.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/inspector
[MCP] modelcontextprotocol/php-sdk — 1.0k⭐
The official PHP SDK for Model Context Protocol servers and clients. Maintained in collaboration with The PHP Foundation. Language: PHP | Stars: 1.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/php-sdk
[MCP] modelcontextprotocol/mcpb — 2.0k⭐
Desktop Extensions: One-click local MCP server installation in desktop apps Language: TypeScript | Stars: 2.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/mcpb
[MCP] modelcontextprotocol/rust-sdk — 3.0k⭐
The official Rust SDK for the Model Context Protocol Language: Rust | Stars: 3.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/rust-sdk
[MCP] modelcontextprotocol/swift-sdk — 1.0k⭐
The official Swift SDK for Model Context Protocol servers and clients. Language: Swift | Stars: 1.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/swift-sdk
[MCP] modelcontextprotocol/java-sdk — 3.0k⭐
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI Language: Java | Stars: 3.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/java-sdk
[MCP] modelcontextprotocol/kotlin-sdk — 1.0k⭐
The official Kotlin SDK for Model Context Protocol servers and clients. Maintained in collaboration with JetBrains Language: Kotlin | Stars: 1.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/kotlin-sdk
[MCP] modelcontextprotocol/go-sdk — 4.0k⭐
The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google. Language: Go | Stars: 4.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/go-sdk
[MCP] modelcontextprotocol/registry — 7.0k⭐
A community driven registry service for Model Context Protocol (MCP) servers. Language: Go | Stars: 7.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/registry
[MCP] modelcontextprotocol/ext-apps — 2.0k⭐
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers Language: TypeScript | Stars: 2.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/ext-apps
[MCP] modelcontextprotocol/ruby-sdk — 1.0k⭐
The official Ruby SDK for the Model Context Protocol. Language: Ruby | Stars: 1.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/ruby-sdk
[MCP] modelcontextprotocol/quickstart-resources — 1.0k⭐
A repository of servers and clients from the Model Context Protocol tutorials Language: Go | Stars: 1.0k | Category: MCP Repository: https://github.com/modelcontextprotocol/quickstart-resources
[Skills] heilcheng/awesome-agent-skills — 3.0k⭐
A curated list of skills, tools, tutorials, and capabilities for AI coding agents (Claude, Codex, Antigravity, Copilot, VS Code). Language: Markdown | Stars: 3.0k | Category: Skills Repository: https://github.com/heilcheng/awesome-agent-skills
[Skills] anthropics/skills — 93.0k⭐
Public repository for Agent Skills, demonstrating what's possible with Claude's skills system. Language: Markdown | Stars: 93.0k | Category: Skills Repository: https://github.com/anthropics/skills
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The Rage at OpenAI Has Grown So Immense That There Are Entire Protests Against It
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Character.AI Is Hosting Epstein Island Roleplays Scenarios and Ghislaine Maxwell Bots
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ChatGPT is expanding its ecosystem with new app integrations, and Meta AI is being integrated into Facebook Marketplace for automated responses.
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Facebook Marketplace is integrating Meta AI to help sellers draft replies automatically.
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Data infrastructure startup Nyne raised $5.3 million in seed funding.
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