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.
Does Claude Fable 5 have memory across chats?
Partly: the Claude app can carry some details between chats, but Claude Fable 5 itself is stateless and its memory never leaves the app. Here is an honest breakdown of what the new flagship remembers, where that stops, and how to give it persistent memory across every tool with Vilix.
How do I push a task to my own AI agent from my phone?
The Vilix Agent Inbox lets you push a message to your own running agents from anywhere, including your phone. It rides the agent’s next memory read, so an always-on agent picks the work up on its own. Here is exactly how the inbox field, normal vs urgent delivery, and ack_message work.
What is cross-AI memory?
Cross-AI memory means one persistent memory layer that every AI tool you use can read and write, so you never re-explain your context again. Here is what it is, why it matters, and how Vilix implements it.
How does a unified memory layer improve AI development workflows?
When every AI tool you use reads from the same memory, your stack conventions, open tasks, and prior decisions travel with you automatically. No copy-pasting context, no re-explaining the repo.
What are the benefits of using a centralized memory layer for AI assistants?
Per-tool memory keeps context siloed inside a single assistant. A centralized memory layer breaks that wall so your context follows you across every AI tool you use.
Can I use the same AI memory on my phone and laptop?
When your AI memory lives in the cloud rather than in a browser tab, it travels with you automatically. Here is how Vilix makes that work across every device and tool you use.
How do I avoid copy-pasting context between different AI chat interfaces?
Every time you switch AI tools you lose context and have to paste it back in manually. Vilix fixes this by retrieving your project memory automatically at the start of each turn, regardless of which tool you are using.
Can I share project rules between different AI assistants?
With Vilix you write your project conventions and personal style directives once, and every AI assistant you connect reads them automatically before each reply. No per-app custom instructions to maintain.
How do I stop re-explaining project details to different AI models?
Every AI tool starts with a blank slate, so you end up repeating the same project background over and over. Vilix fixes this by loading your context automatically before each reply, across every tool you use.
Add memory to any AI agent with Vilix (MCP)
A tool-agnostic guide to wiring Vilix into any agent harness that accepts a custom MCP connector. One endpoint, three tools, and every agent you run shares the same persistent memory.
Give your OpenClaw agent permanent memory with Vilix
OpenClaw forgets everything between reboots and across channels. Connect Vilix as its MCP brain and it gains permanent, cross-channel memory so every action starts with full context.
Hermes agent + Vilix: durable memory for self-hosted agents
Hermes builds skills and learns in-session, but cross-session memory is on you. Connect Vilix once as a custom MCP server and every loop your agent runs reads past context and writes new decisions back, durably, across any tool in your stack.
Text the same AI from WhatsApp, Telegram, and Slack, and it remembers
WhatsApp, Telegram, Slack, and Discord are just channels. The agent behind them can have a single continuous memory if that memory lives in Vilix rather than inside any one channel or tool.
How one always-on agent wrote 12k memories with Vilix
One power user connected an always-on autonomous agent to Vilix and accumulated roughly 12,000 memory writes across thousands of turns. This is what that setup looks like, and why per-turn read/write beats pull-based ingestion for agents.
How to use Vilix with Manus AI
Two ways to connect Vilix to Manus AI as a Custom MCP server, direct config or JSON import, so your autonomous agent carries the same memory, projects, and rules you built up across ChatGPT, Claude, and Cursor.
Build with full memory: Vilix + Lovable
How to add Vilix as a personal MCP connector in Lovable, and the workflow it unlocks: plan and research in your AI tools, capture decisions and tasks in Vilix, then let Lovable build with all of that context already in hand.
How to use Vilix with OpenAI Codex
A one-line setup: add Vilix as an MCP server in Codex, sign in once, and the Codex CLI and IDE extension both build with the project context, decisions, and rules you already captured in ChatGPT, Claude, and Cursor.
The best cross-AI memory tool: stop re-explaining yourself across ChatGPT, Claude, and Cursor
If you use more than one AI tool, you've felt it: ChatGPT forgets you the moment you open Claude, and Claude can't see what Cursor knows. A cross-AI memory tool is the layer that fixes it.
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, Codex, 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, Codex, 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.