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.
Muse + Vilix AI: Every AI I Use Now Shares One Memory
I connected Meta's Muse app to Vilix AI through a custom connector. Now the assistant on my phone remembers everything my desktop tools know.
What is cross-AI memory?
Learn how a shared memory layer makes saved context available across connected AI tools, and how to configure Vilix AI's MCP read-and-save loop.
Can I share project rules between different AI assistants?
Store project conventions and personal rules in Vilix AI, then let connected AI tools retrieve them. Learn the setup steps and how rule updates work.
How do I push a task to my own AI agent from my phone?
Send work through the Vilix AI Agent Inbox from a connected client. Learn next-read delivery, urgency, expiry, and acknowledgement.
Does Claude Fable 5 have memory across chats?
Understand model context, Claude app memory, and Claude Code's local memory, plus how Vilix AI shares saved context with other connected tools.
Hermes agent + Vilix AI: durable memory for self-hosted agents
Hermes already has local memory and reusable skills. Connect Vilix AI through MCP to add relevant context from your other connected AI tools.
How do I stop re-explaining project details to different AI models?
Keep project details available across connected AI tools with Vilix AI. Store decisions, conventions, and tasks, then verify the memory loop.
How one always-on agent wrote 12k memories with Vilix AI
One user's always-on agent accumulated around 12,000 memory writes with Vilix AI. Explore its per-turn saving pattern and retrieval workflow.
Can I use the same AI memory on my phone and laptop?
Access saved Vilix AI memory from supported clients on different devices. Learn how account storage, client setup, and mobile support differ.
What are the benefits of using a centralized memory layer for AI assistants?
Explore how a shared memory store connects AI workflows, which context it retains, and what to check about setup, privacy, and retrieval.
How do I avoid copy-pasting context between different AI chat interfaces?
Reduce repeated briefings between AI tools with shared saved context. Configure Vilix AI, verify retrieval and saving, and keep project details available.
How does a unified memory layer improve AI development workflows?
Use shared saved context while planning in ChatGPT, coding in Cursor, and reviewing in Claude. Learn the setup and a practical developer workflow.
Add memory to any AI agent with Vilix AI (MCP)
Add Vilix AI to an agent with compatible remote MCP support. Configure authentication, context retrieval, and saving before returning a reply.
Give your OpenClaw agent permanent memory with Vilix AI
Connect OpenClaw to Vilix AI for account-based memory shared across your AI tools. Set up MCP, preserve useful context, and verify memory across sessions.
Text the same AI from WhatsApp, Telegram, and Slack, and it remembers
Connect a messaging agent to Vilix AI for shared saved context across its supported channels. The harness handles delivery; Vilix AI supplies memory.
Build with full memory: Vilix AI + Lovable
Connect Vilix AI to Lovable's build chat to retrieve saved project context. Learn the setup and why this does not add memory to your published app.
How to use Vilix AI with OpenAI Codex
Add Vilix AI to Codex, complete OAuth, and verify its memory tools. Learn how CLI and IDE configuration work and how to share saved context.
How to use Vilix AI with Manus AI
Connect Manus to Vilix AI through remote MCP, authenticate, and verify retrieval and saving so the agent can use relevant shared project context.
The best cross-AI memory tool: stop re-explaining yourself across ChatGPT, Claude, and Cursor
Compare cross-AI memory with native app memory. Learn what to check for shared context, client support, retrieval, privacy, and data controls.
AI memory for solo founders and operators
A practical memory workflow for solo founders: keep company facts, decisions, goals, and constraints available across connected AI tools.
The hidden cost of AI context switching
Measure the time and rework involved in moving between AI tools, then compare manual briefs, fewer switches, and shared memory workflows.
How to set up an MCP memory server for ChatGPT, Claude & Cursor
Set up an MCP memory server for supported clients. Compare authentication options, configure each tool, and verify context reads and writes.
Persistent memory for AI coding assistants (2026 guide)
Understand native memory, repository instructions, and shared context in AI coding tools, including Claude Code's auto memory and cross-tool gaps.
How to stop re-explaining your project to AI every time
Build a concise project brief and decision log, keep them current, and use retrieval to reduce repeated explanations across AI tools.
Can AI remember across different tools (ChatGPT, Claude, Codex, Cursor)?
AI apps do not automatically share their histories. Learn how briefs, explicit transfers, and a shared memory layer can connect your tools.
AI memory for indie hackers: shipping fast without re-explaining your project
A lean memory workflow for solo builders: capture decisions, maintain a project brief, and retrieve relevant context when switching AI tools.
How to keep context between Claude and Cursor
Carry decisions and constraints from Claude into Cursor with a decision record and shared retrieval. Follow a practical design-to-code workflow.
What is MCP (Model Context Protocol)?
Learn how MCP connects AI clients to tools and data, what servers expose, and why each client still needs its own setup and authentication.
ChatGPT memory vs Claude Projects: what's the difference?
Compare ChatGPT saved memories with Claude Project knowledge: scope, control, useful workflows, and the context gap between separate AI products.
Local vs cloud AI memory
Compare local, hosted, and hybrid memory architectures. Understand storage, model access, portability, and Vilix AI's current hosted approach.
The future of AI is persistent memory
Explore how persistent memory can support longer AI workflows, why it differs from a context window, and what portability changes.
Why cross-AI memory matters
Moving between AI tools can leave decisions and constraints behind. Learn how shared memory makes relevant saved context available to connected tools.
How to make AI remember context
Use project briefs, native memory, and retrieval to make relevant context available across sessions and connected AI tools.
Why AI forgets conversations
Understand how model requests, context limits, app history, and native memory affect continuity within a chat and across different AI tools.