AI Agents
Deep-dives on autonomous AI agent frameworks, multi-agent orchestration, and tool-use runtimes — how the systems behind agentic coding and research actually work.
259 articles
AI Agents
AgentLens: Observing AI Agents Through an Invisible Git Time Machine
AI Agents
CoGames: Building Multi-Agent RL Environments Where Cooperation Matters More Than Winning
AI Agents
Citadel: Multi-Tier Routing and Campaign Persistence for Claude Code Agent Orchestration
AI Agents
OpenSpace: The Self-Evolving Agent Framework That Learns From Its Mistakes
AI Agents
Building a 49-Agent Game Studio Inside Your IDE: Claude Code Game Studios
AI Agents
OMX: Adding Workflow Orchestration and Multi-Agent Coordination to OpenAI Codex
AI Agents
Harbor: The Missing Standard for Evaluating AI Coding Agents at Scale
AI Agents
Mesh LLM: Distributed Inference With Automatic Pipeline Parallelism Across Consumer GPUs
AI Agents
AutoAgent: Teaching AI to Write Better AI by Letting It Rewrite Itself
AI Agents
Building Self-Planning AI Agents: How open-multi-agent Turns Goals Into Task Graphs
AI Agents
Teaching AI to Think Like a CIA Analyst: Structured Analysis Skills for LLMs
AI Agents
Theme Your CLI Agent: How Hermes-Skins Uses Braille Art and YAML Cascading for Terminal Aesthetics
AI Agents
Building an AI-Controllable Smart Home: MCP-HASS and the Model Context Protocol
AI Agents
Building an MCP Server for YAML Surgery: Why Diff Blocks Beat Full-File Rewrites
AI Agents
Agent Trace: A Standard Format for Recording Which Lines of Code Your AI Actually Wrote
AI Agents
MiroThinker: The Open-Source Research Agent That Scales Through Interaction, Not Just Parameters
AI Agents
Otto-Support: A Deliberately Broken MCP Server That Teaches AI Security the Hard Way
AI Agents
CodeForge MCP: How AI Agents Build Their Own API Toolchains Without Bleeding Tokens
AI Agents