agentic-stack-portable-agent-memory

You can share agent memory across AI coding tools by implementing a portable .agent memory layer that synchronizes context, memory, and skills during tool switches. This preserves personal, semantic, episodic, and working memory across harnesses like Claude Code, Cursor, and Windsurf.

Portable agent memory is a shared data layer that maintains personal, semantic, episodic, and working memory across AI coding harnesses. It uses a manifest-driven skill registry to preserve context, skills, and protocols when switching between tools like OpenCode and Cursor.

Yes, you can synchronize skills and protocols when switching between AI coding harnesses using a manifest-driven skill registry. It maps and reuses capabilities across adapters, ensuring cross-harness synchronization of state and memory during multi-adapter sessions.

Portable agent memory supports optional Brain integration to synchronize state and memory during multi-adapter sessions. The harness manager uses this integration to maintain context and preserve skills across different AI coding tools.

The best way to maintain working memory across AI coding assistants is to use a structured memory architecture with a portable .agent directory. This approach preserves personal, semantic, episodic, and working memory while enabling cross-harness synchronization.

Agent context gets lost when switching between coding tools because harnesses typically maintain isolated memory states. You can prevent this by using a portable memory layer with a manifest-driven skill registry to preserve context, memory, and skills across tool switches.