







Everyone rents the same intelligence. The difference is context. WarmHub delivers the right context, to the right agent, at the right time.
Same Model, Different Results: Why Coding Agents Aren't Interchangeable
Reverse-engineering Claude Code reveals why it performs differently from other agents that use the same Anthropic models. The answer lies in sophisticated context engineering and tool orchestration hidden beneath the surface.


Curated skills for AI agents · skilld
A curated registry of agent skills for the npm packages and GitHub repos you actually use. One install command, every agent. Get notified when they change.

Syke — Cross-harness agentic memory
Open-source agentic memory for users and their agents. Syke acts as a live cache across every AI tool you use — Claude Code, Cursor, ChatGPT, Hermes — so what one harness learns, the next one already knows. Local-first.
Syke — Cross-harness agentic memory
Open-source agentic memory for users and their agents. Syke acts as a live cache across every AI tool you use — Claude Code, Cursor, ChatGPT, Hermes — so what one harness learns, the next one already knows. Local-first.
What I learned building an opinionated and minimal coding agent
Lessons I learned while building my own coding agent from scratch.

Three camps alike in dignity
🪧 A full catalogue of the field can now be found at agentlanguages.dev. In the last six months, programming languages designed for models rather than humans have started to appear. Work on most began entirely independently, initiated by people who had never heard of each other, but all roughly during the same window of time. […]

Artificial intelligence how is it different from human intelligence?
Discover key differences between artificial intelligence and human intelligence in this post from MSc AI Programme Director Rameez Kureshi.

The Agents Are Waking Up
The Intelligence Revolution that swept through the software industry this past winter is coming to knowledge-work next.

Agent Skills
AI coding agents take the shortest path to done, which usually means skipping the specs, tests, and reviews that make software reliable at scale. Agent Skill...

LukeW | Agent Management Interface Patterns
As an increasing number of AI applications evolve to agents doing work for people, agent management becomes a critical part of these product's design. How can p...

The Anatomy of an Agent Harness
Learn how agent harnesses transform AI models into autonomous work engines. Explore core components: filesystems, sandboxes, and memory.

Skills, forks, and self-surgery: how agent harnesses grow
Claude Code, NanoClaw, and Pi take radically different approaches to harness extensibility. The tradeoff is always safety vs. agent agency.

Mintplex-Labs/anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Building and evaluating AI Agents — Sayash Kapoor, AI Snake Oil