Notes on AI memory.
Why AI forgets, how to make it remember, and what changes when memory becomes the layer above the model. Written by the team building Vilix.
AI memory for solo founders and operators
Founders do not work in one lane, and neither should their AI. A practical memory workflow so product, marketing, ops, and fundraising threads draw on the same context instead of starting cold.
The hidden cost of AI context switching
Switching between ChatGPT, Claude, and Cursor carries a re-priming tax most people never measure. This breaks down where the cost comes from, why it compounds, and how to cut it.
How to set up an MCP memory server for ChatGPT, Claude & Cursor
What an MCP memory server is, the two ways to connect one (OAuth or manual config), high-level setup steps for ChatGPT, Claude, and Cursor, and the mistakes that quietly break it.
Persistent memory for AI coding assistants (2026 guide)
What Cursor, Claude Code, GitHub Copilot, and similar tools actually persist across sessions in 2026, where each one forgets, and how to add durable cross-session, cross-tool memory for codebases and decisions.
How to stop re-explaining your project to AI every time
A concrete, step-driven workflow: write a tight project brief, capture decisions as they happen, store them in a retrievable memory layer, and let any AI tool pull context automatically instead of you re-pasting it.
Can AI remember across different tools (ChatGPT, Claude, Perplexity, Cursor)?
Natively, no AI tool remembers what you said in another. Here is why the providers are siloed, and how a memory layer above them gives ChatGPT, Claude, Perplexity, and Cursor shared context.
AI memory for indie hackers: shipping fast without re-explaining your project
When you ship solo across four AI tools, every context reset is dead time you pay for personally. A lean memory workflow that scales down to one person.
How to keep context between Claude and Cursor
Design in Claude, build in Cursor — and stop re-explaining the plan in the editor. A concrete workflow for carrying decisions and constraints across the handoff.
What is MCP (Model Context Protocol)?
A plain-English explanation of the Model Context Protocol: what it is, how clients and servers talk, what it unlocks, and why it is the foundation for memory that works across ChatGPT, Claude, and Cursor.
ChatGPT memory vs Claude Projects: what's the difference?
ChatGPT memory and Claude Projects solve different problems with similar names. This is a clear comparison of what each remembers, where each stops, and why neither travels between providers.
Local vs cloud AI memory
Where should your AI memory live? Local-first protects privacy. Cloud-first protects portability. Hybrid is what most users actually need — and it's how Vilix is being designed.
The future of AI is persistent memory
Bigger context windows are not the same as memory. The next phase of AI is assistants that persist — across sessions, projects, and providers — and grow more useful the longer you work with them.
Why cross-AI memory matters
Real workflows span multiple AI tools. Cross-AI memory keeps your context portable so switching from ChatGPT to Claude to Cursor doesn't mean starting from zero.
How to make AI remember context
How retrieval-based memory systems work — and how to give your AI tools long-term continuity without retraining a model or re-pasting your project every morning.
Why AI forgets conversations
A clear explanation of context windows, session statelessness, and why AI memory is fundamentally an engineering problem — not a model intelligence problem.