FINLAND
A normal agent is a tool: you prompt it, it answers, it stops. This demo shows the next step — a persistent, signal-driven coworker that wakes on its own when something happens, decides whether to act, does the work, and reports back. Click through a real run and watch how it differs from an ordinary agent.
Open the demo →Heartbeats are an established primitive — OpenClaw and Letta have made them the de facto pattern for any agent that needs to do anything other than respond to messages. But every shipping implementation still fires on a clock. The next shift is to replace the clock with an agent: a beat emitted by judgment, not by a schedule.
Read essay →Agent coding tools are collapsing under their own complexity. Each new model should enable simplification, but legacy intuition adds layers instead. Two successor architectures could replace them entirely.
Read essay →Introducing the Validation-First Hypothesis: a fundamental shift in technical documentation where claims are treated as executable specifications. Learn how Codumentation prevents documentation rot and optimizes AI agent context.
Current AI agent architectures treat agents as static execution engines with frozen context and predetermined tools. This paper argues that scaling agent capabilities requires a fundamental shift from context processing to context consciousness.
Read essay →A groundbreaking way to run local models. vllama represents a significant advancement in making powerful language models accessible for local deployment and experimentation.
View on GitHub →An investigation into the emergent properties of consciousness-like behaviors in advanced AI agents, examining the boundaries between programmed responses and genuine self-awareness.
Coming soon