#decentralized AI agents
47 related articles
·3 min
last30days: A Cross-Platform AI Research Tool and the Agent Skill with 50K+ Stars
last30days-skill is a GitHub AI Agent skill with 50K+ Stars, enabling cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.
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·4 min
Frontend Engineer Driven to Homelab by AI: From React Specialist to Full-Stack Self-Rescue
A 7-year frontend engineer, fearing AI-driven job loss, builds a homelab to learn Docker, databases, and networking. A pragmatic roadmap for developers building breadth in the AI era.
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·3 min
last30days: A Cross-Platform AI Research Tool and the Agent Skill with 50K+ Stars
last30days-skill is a 50K+ Star AI Agent skill on GitHub that performs cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.
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·3 min
GitHub Daily · July 27: AI Agent Skill Ecosystem Explodes, Claude's Capability Boundaries Keep Expanding
GitHub Trending July 27: AI Agent Skills explode as claude-video, impeccable, and last30days-skill extend model capabilities without modifying models themselves.
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·3 min
Open-Source Automated News Briefing Generator: A Zero-Technical-Barrier AI Deployment Analysis
An open-source automated news briefing system. No coding needed—just let an AI read the project docs to complete the entire deployment. Six-stage pipeline, four-channel search covering 16+ platforms, smart classification and dedup, daily auto-push to Feishu, completely free.
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·3 min
Open-Source Newsletter Auto-Generation System: A No-Code AI Deployment Breakdown
An open-source newsletter auto-generation system requiring no coding—just have AI read the project docs to complete deployment. Six-stage pipeline, four-channel search covering 16+ platforms, smart classification & deduplication. Completely free.
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·4 min
Building an AI-Automated Topic Selection System: A Practical Guide to the Three-Dimension Method
Learn how Bilibili creator JK built an AI-automated topic selection system using Codex and Feishu — covering the three-dimension method: practice, trending topics, and benchmarking.
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·6 min
30-Minute Hands-On: Building a Working AI Agent from Scratch
Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.
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·4 min
7 Core Components for Designing Long-Running AI Agents
A deep dive into the 7 core components for building long-running AI Agents: Goal, Evaluator, Verifier, Loop, Orchestration, Observability, and Memory.
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·2 min
Getting Started with ROS2: What Is a Robot Operating System, and How Does It Differ from ROS1?
A beginner's guide to ROS2: what ROS really is (an SDK, not a traditional OS), how ROS1 and ROS2 differ, and how to choose the right version to start robot development.
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Multi-Agent Collaboration: A GPT Team …
·2 min
Multi-Agent Collaboration: A GPT Team Engineering Paradigm and Practical Guide
Explore multi-agent collaboration architecture: role division, communication protocols, coordination mechanisms, and how Workbench templates help developers build efficient AI agent teams.
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·2 min
ROS2 Beginner's Guide: A Deep Dive into the Core Middleware for Robot Development
Learn ROS2 from scratch: understand how ROS differs from traditional OS, explore ROS1 vs ROS2 differences, and master version selection principles for robot development.
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·3 min
AI Agent Production Guide: Four Orchestration Patterns That Actually Work
Most AI agents never make it past the demo stage. This guide covers four production-grade agent patterns—workflow orchestration, policy-constrained execution, anomaly handling, and load routing—to help teams build reliable agent systems.
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AIRI: The Open-Source Self-Hosted AI C…
·2 min
AIRI: The Open-Source Self-Hosted AI Companion to Build Your Own Cyber Neuro-sama
AIRI (moeru-ai/airi) is an open-source, self-hosted AI companion with real-time voice chat, Minecraft/Factorio gameplay, and Web/macOS/Windows support. 42K+ GitHub stars.
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·2 min
RL3: A Zero-Code Reinforcement Learning Platform Where You Train Agents by Dragging and Dropping
RL3 is a zero-code, browser-based reinforcement learning platform featuring drag-and-drop environment design, visual reward configuration, and Q-learning/PPO training. Built by an indie developer over 15 months to make RL accessible to everyone.
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·3 min
Cosmonapse: A Decentralized Multi-Agent Framework Built on an Event Bus
Cosmonapse is an open-source multi-agent framework that replaces central orchestrators with peer nodes, using typed signals and an event bus to fully decouple tool calls, memory, and HITL. Supports Python and TypeScript under Apache 2.0.
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·3 min
Can GPT-5.6 Prove a 50-Year Graph Theory Conjecture? The Boundaries and Verification of AI Mathematical Reasoning
GPT-5.6 Soul Ultra claims to prove the 50-year-old Cycle Double Cover Conjecture in under an hour using 64 parallel agents. We examine the technical path, missing peer review, and formal verification gaps.
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·5 min
Connecting DeepSeek V4 in VSCode: Complete Claude Code Plugin Setup Tutorial
Shrinking GitHub Copilot student benefits? Learn to install the Claude Code plugin in VSCode and connect the DeepSeek V4 API via CCSwitch—powerful Agent capabilities at 25% price, no IDE switch needed.
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·7 min
Turning Any AI Agent into an Orchestration Hub: A Deep Dive into Multi-Agent Collaboration Architecture
An in-depth analysis of the "any Agent as an orchestrator" design philosophy, exploring the technical implementation of multi-Agent collaboration, context management, and workflow automation.
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·6 min
Is GPT Really Approaching the Technological Singularity? Deep Reflections Sparked by a Viral Reddit Post
A tongue-in-cheek Reddit post joking about 'GPT 9.6' reveals the AI community's collective anxiety over singularity hype. A deep look at what the technological singularity really means and how to view LLM progress rationally.
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