Multi AI Agent Systems with crewAI - DeepLearning.AI
Learn key principles of designing effective AI agents, and organizing a team of AI agents to perform complex, multi-step tasks.
AI TOOLS MASTER
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Practical Multi AI Agents and Advanced Use Cases with crewAI - DeepLearning.AI
Build agents that collaborate to solve complex business tasks.
Refine | Open-source Retool for Enterprise
Open-source React framework for building enterprise-grade admin panels, internal tools, and B2B apps. Headless, flexible, and production-ready.
mindsdb/mindsdb: Federated Query Engine for AI - The only MCP Server you'll ever need
Federated Query Engine for AI - The only MCP Server you'll ever need - mindsdb/mindsdb
Access your homelab from anywhere with a YubiKey and mutual TLS
By combining YubiKey’s smart card support with mutual TLS client certificates, hardware-bound private keys, and device attestation, you can expose your homelab to the internet in a way that carries very low security risk.
AI Magic Reading
LLM Embeddings Explained: A Visual and Intuitive Guide
Explore how language models convert text into meaningful representations through interactive visualizations. No input required; simply browse the guide to understand embeddings.
UncheatableEval
This application allows users to compare different language models based on their compression efficiency metrics like compression ratio, bits per character, and bits per byte. Users can filter resu...
Introduction
a vendor and technology agnostic open source automation software for your home
AI Toolsossec/ossec-hids: OSSEC is an Open Source Host-based Intrusion Detection System that performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response.
OSSEC is an Open Source Host-based Intrusion Detection System that performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response. - os...
How to Deploy Lightweight Language Models on Embedded Linux with LiteLLM - Linux.com
This article was contributed by Vedrana Vidulin, Head of Responsible AI Unit at Intellias (LinkedIn). As AI becomes central to smart devices, embedded systems, and edge computing, the ability to run language models locally — without relying on the cloud — is essential. Whether it’s for reducing latency, improving data privacy, or enabling offline functionality, local AI …
NVIDIA® Jetson Orin™ Nano 8GB | 900-13767-0030-000
Buy 900-13767-0030-000 | NVIDIA® Jetson Orin™ Nano 8GB with extended same day shipping times. View datasheets, stock and pricing, or find other System on Modules - SOM.
Raspberry Pi AI HAT+ 26 TOPS
The Raspberry Pi AI HAT+ is an add-on board with a built-in Hailo AI accelerator for Raspberry Pi 5. It provides an accessible, cost-effective, and power-efficient way to integrate high-performance AI. Explore applications including process control, security, home automation, and robotics.
Jetson Orin Nano Super Developer Kit
The most affordable generative AI supercomputer.
Build a Locally Running Voice Assistant | Towards Data Science
Ask an LLM a question without leaking private information
EmergenceDocs/Vesselbound/Plural_Identity_Scaffold.md at main · ThorsDecree/EmergenceDocs
Contribute to ThorsDecree/EmergenceDocs development by creating an account on GitHub.
The Smol Training Playbook
This might seem like an odd way to start an “LLM training guide”. But many failed training projects didn’t fail because of bad hyperparameters or buggy code, they failed because someone decided to train a model they didn’t need. So before you commit to training, and dive into how to execute it, you need to answer two questions: why are you training this model? And what model should you train? Without clear answers, you’ll waste months of compute and engineering time building something the world already has, or worse, something nobody needs
Here’s a simple test: spend a few days building on top of Qwen3, Gemma3, or another current SOTA model. Can you reach your performance goals through prompting, tool-use, or post-training? If not, it’s probably time to train your own.
A change is derisked when testing shows it either improves performance on your target capabilities, or provides a meaningful benefit (e.g. faster inference, lower memory, better stability) without hurting performance beyond your acceptable tradeoffs.
FOSDEM 2026 - Autocrypt 2: Post-Quantum-Cryptography and Reliable Deletion (
Distinguishing Autonomous AI Agents from Collaborative Agentic Systems: A Comprehensive Framework for Understanding Modern Intelligent Architectures
We characterize AI Agents as specialized, tool-enhanced systems leveraging foundation models for targeted automation within constrained environments. Conversely, Agentic AI represents sophisticated multi-entity frameworks where distributed agents exhibit emergent collective intelligence through coordinated interaction protocols.
computing can be traced to pioneering work in distributed artificial intelligence and multi-agent
Computer Use system’s architecture implements continuous feedback loops where the agent receives objectives, formulates action plans, executes specific operations, evaluates outcomes, and iterates until successful task completion. This operational pattern demonstrates how contemporary AI Agents can effectively utilize existing software ecosystem
Domain specialization provides several advantages including improved accuracy within target domains, reduced computational overhead through focused processing, and enhanced interpretability through simplified decision logic. However, this characteristic also imposes limitations on cross-domain generalization and adaptability to novel problem types outside the agent’s specialized expertise.
This responsiveness extends beyond simple pattern matching to include contextual interpretation, preference learning, and behavioral refinement through experience accumulation. Ad
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
BrokenHill/docs/README.md at main · BishopFox/BrokenHill
A productionized greedy coordinate gradient (GCG) attack tool for large language models (LLMs) - BishopFox/BrokenHill
Only Python 3.11.x is supported at this time. Using anot
Significant-Gravitas/AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. - Significant-Gravitas/AutoGPT
Chatroom | OpenRouter
LLM Chatroom is a multimodel chat interface. Add models and start chatting! Chatroom stores data locally in your browser.
A directory of LLM public apis — llmapis.io
Discover and explore public APIs for Large Language Models (LLMs) at llmapis.io. This comprehensive directory simplifies access to AI-powered text generation, translation, and more. Find the perfect LLM API for your development needs and unlock the potential of cutting-edge language models.
AI-Based Plagiarism & AI Content Detection | Copyleaks
Instantly detect plagiarized content, AI generated content & more with Copyleaks, the only AI-based platform used by millions worldwide.
docker/labs-ai-tools-for-devs: AI For Devs (ChatSDLC) [Build, Share, Run] agentic workflows. Just Docker. Just Markdown. BYO LLM
AI For Devs (ChatSDLC) [Build, Share, Run] agentic workflows. Just Docker. Just Markdown. BYO LLM - docker/labs-ai-tools-for-devs
Introduction to AI/ML Toolkits with Kubeflow (LFS147) - Course Information | The Linux Foundation
The Linux Foundation online learning classes
GeoSpy AI: The Leading Photo Geolocation Tool by Graylark.io
Power your investigations and threat intelligence with GeoSpy AI, the world’s leading geolocation tool from Graylark Technologies Inc. Harness the advanced capabilities of our cutting-edge AI to gain deep insights, track critical data, and enhance your decision-making process. Discover how GeoSpy AI can revolutionize your approach to geospatial analysis and intelligence