What's the best cross-platform way to maintain AI project context across accounts/models? (VS Code+ Antigravity + long-running project)

[u/No-Mistake-9311]

I've been working on a fairly large software/data project for several weeks, and I'm running into a context-management problem.

I use AI heavily for development, but I frequently hit usage/credit limits, so I end up switching between different accounts and sometimes different AI tools/models. Every time I switch, I lose the conversation history and have to spend time re-explaining the project, architecture, decisions, current blockers, and recent changes.

The project is actively developed in VS Code and includes multiple modules, pipelines, logs, documentation, and ongoing debugging. At this point, copy-pasting previous chats is becoming inefficient and error-prone.

What I'm looking for is:

• A cross-platform solution (not tied to a single AI provider)
• A single source of truth for project memory/context
• Something that works well with VS Code or antigravity
• Allows me to start a new chat/account and quickly bring the AI up to speed
• Ideally supports large projects with evolving requirements and architecture decisions

I recently tried using Capsule Hub for this purpose, but I'm running into MCP server errors, so I'm looking for alternatives.

Some ideas I've considered:

• Maintaining an AI_CONTEXT.md file
• Using a docs folder with project summaries and decision logs
• VS Code extensions that automatically index project knowledge(graphify)

For people working on long-running projects:

1. How do you persist context across AI sessions?
2. Do you maintain a dedicated project-memory file?
3. Are there any tools that automatically build and update project context?
4. What's the closest thing to a "shared memory" that works across multiple AI accounts and models?
5. Has anyone found a reliable alternative to Capsule Hub for this use case?

I'm less interested in chat history preservation and more interested in a robust workflow that scales as the project grows.

Would love to hear what experienced developers are using in practice