







Agent Substrate: the core system
Where Should the Agent(s) Live? – OpenComputer
Isolation models, agent placement tradeoffs, credential design, and sandbox lifecycle patterns for agentic systems.

A thousand ways to sandbox an agent
There are a thousand ways to sandbox an agent. Okay, I lied. There are three: simulated, containers, and microVMs. Here's when to use each.

dagger/container-use
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
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...

Agentic Fediverse | Muni Town | Weird.One
The "Agentic Fediverse" is the idea of a new kind of network federation, a complementary iteration on the concept of federation currently established with ActivityPub. It's an experiment and something that we in Muni Town are still trying to define more concretely.
A Drive to Survive
Since 2005, Karl Friston's proposal that the principle of free energy minimization underpins the purposive behavior of living agents has evolved through thou...

Docker Brings Compose to the AI Agent Era | Docker
Define, run, and scale AI agents using Docker Compose and Docker Offload. Streamline agentic development across your stack.
How coding agents work - Agentic Engineering Patterns
How coding agents work - Agentic Engineering Patterns
Headlong: a microharness for persistent agents
Self-guided agents that think continuously

Strukto · The Structured Layer for AI Agents
Strukto is the structured layer that makes AI agents actually do work. A Lite Agent OS and a Unified Virtual Filesystem Workspace.

The golden rules of agent-first product engineering
Five principles for building products that work well for AI agents and MCP servers.
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.

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

agentOS — A faster, lighter, cheaper alternative to sandboxes
A portable open-source operating system for agents. Stateful runtime, universal agent interface, and secure code execution. One SDK, deploy anywhere.
