Your AI agent has amnesia. Make the repository its memory.
AI agents are good at writing code. They are not good at remembering what they decided last week. After months of using Cursor and Claude Code on real products, my biggest cost wasn't bad code. It was re-explaining the same architecture, re-catching the same mistakes, and reconstructing why something changed from a diff. The only context that survives every session is the repository, so I started…
AI agents excel at writing code, but they struggle to remember context from previous sessions. Repeating the same mistakes and architectural decisions is a common issue for users of coding assistants like Cursor and Claude Code. To address this, creator Imitates designed Agent Runway, an open-source solution that treats the repository as an agent's memory.
This layer stores specifications, decisions, checkpoints, and run logs alongside the code. By utilizing existing guidelines and adding durable knowledge files, Agent Runway offers a comprehensive system for maintaining continuity across real codebases. The four-layered model includes Spec, Workflow, Rules, and Memory, each living within the dedicated .agent-runway/ folder in the repository.
By utilizing this system, users can reduce documentation entropy and improve the efficiency of AI-assisted coding.
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