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Harness

Exploring the infrastructure behind modern agentic systems.

Harness is an experimental agent runtime I’m building to understand how modern AI systems manage:

  • persistent conversations
  • context lifecycles
  • memory orchestration
  • session continuity
  • execution flow around LLMs

After heavily using tools like Cursor, I became more interested in the orchestration layer around the model itself rather than the model alone.

The more I explored, the more I realized modern agentic systems are fundamentally runtime and state management problems.

This project is my attempt to explore those systems from first principles.

Current Focus

  • Persistent conversations
  • Session management
  • Context compaction
  • Memory retrieval
  • Tool execution
  • Runtime orchestration

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A lightweight harness for understanding how modern AI agents manage state, memory, context, and execution beyond the model itself.

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