Does Claude Fable 5 have memory across chats?

Partly. If you use Claude Fable 5 through the Claude apps, Anthropic's app-level memory feature can carry some details from one chat into the next, and Projects let you pin files and instructions to a workspace. But that memory belongs to the app, not the model. Claude Fable 5 itself is stateless: API requests rely on the context supplied to them. Claude Code can retain local instructions and auto memory, but neither those notes nor the Claude app's memory are automatically shared with ChatGPT, Cursor, or Codex. If you want memory that genuinely persists across chats, devices, and tools, you add it as a layer over MCP. This post covers both halves honestly: what the native memory does, and how to extend it.

What Claude Fable 5 remembers natively

Claude Fable 5 is an Anthropic model with a large context window. Inside a single conversation that window is enormous: you can paste long documents and codebases and the model can use the supplied material, subject to context and retrieval limits. Three native features add continuity around that window:

• In-chat context. Within one conversation, the app re-sends history on every turn, so the model appears to remember everything said so far, up to the context limit.

• App memory. The Claude apps can recall details from your past chats, depending on your plan and settings. You can review and edit what is stored.

• Projects. A Project groups chats, documents, and custom instructions, so every conversation inside it starts with the same shared context.

These are real and useful. The catch is where each one stops.

Where the native memory stops

The model itself has no memory between requests. A model's context is supplied with each request; the application may retain history or memory and include it in later requests. The continuity you experience comes from the application supplying history or saved context. Its scope depends on the application:

• App memory lives in the Claude apps. It does not apply to API calls, and it does not load into Claude Code, Cursor, or any other tool where you also use Claude models.

• Claude Code supports both CLAUDE.md instructions and auto memory that it writes from useful corrections and preferences. Those features provide local project continuity; Vilix AI adds context shared with your other connected tools.

• Context is not automatically shared across providers. A decision saved only in Claude is unavailable to ChatGPT, Codex, or Grok unless you transfer it or use a shared integration.

So the precise answer to the headline question is: continuity depends on the app or agent that supplies the model's context. Every model launch repeats this pattern, because memory is an application problem, not a model problem.

How to give Claude Fable 5 persistent memory

The fix is to move memory out of any single app and into a layer that every tool can reach. Vilix AI is that layer, delivered as a single MCP connection. After you connect each client and add the Vilix AI custom instructions, two tools establish the memory loop: before replying, the AI calls get_context with your latest message and Vilix AI returns your recent messages, saved memories, related past conversations, live project and task state, and your personal rules. It then composes the reply, calls save_turn with the exact exchange, and sends the saved reply. Reuse chat_id within the conversation. Successful save calls make those exchanges available to subsequent context requests.

Connecting Claude on the web or desktop takes about a minute: open Settings, go to Connectors, add a custom connector, and paste the Vilix AI MCP URL:

https://api.vilix.ai/mcp

Approve the OAuth sign-in prompt, add Vilix AI's custom instructions, and verify both memory calls in a real conversation. No API key, no config file. For Claude Code, add Vilix AI as an MCP server with this command, then complete authentication and add the Vilix AI instructions:

claude mcp add --transport http vilix https://api.vilix.ai/mcp

The Vilix AI MCP docs cover the protocol details, and the MCP memory server setup guide for ChatGPT, Claude, and Cursor walks through the same connection in every major tool. Per-tool video walk-throughs live on the Get started page.

Same memory on your phone and your laptop

Because Vilix AI memory is stored server-side in your account rather than on a device, supported clients on your phone and laptop can access the same saved store when they are connected to that Vilix AI account. Start a conversation on mobile during a commute, open your laptop at your desk, and the next get_context call can retrieve relevant saved context from the earlier conversation. The saved data also remains in Vilix AI across a reinstall or a new machine, though a local client may need to be reconfigured. How device continuity works in detail is covered in Same AI memory across devices.

Share context between Claude Fable 5 and ChatGPT, Cursor, or Codex

The bigger unlock is cross-tool. Vilix AI is a cross-AI memory layer: one account-level store that every connected tool reads from and writes to. Design an architecture with Claude Fable 5 in the Claude app, open a configured Cursor client, and request the saved decisions. Draft a plan in ChatGPT and Claude Code sees it. Supported tools include ChatGPT, Claude, Claude Code, Cursor, Codex, Grok, Manus, GitHub Copilot, Windsurf, Lovable, OpenClaw, Hermes, and other clients with a compatible remote MCP connection. You connect each tool once, and the same memory, projects, tasks, and rules follow you everywhere.

Memory for always-on Claude Fable 5 agents

Agent operators feel the memory gap hardest. OpenClaw and Hermes already support durable local memory. Vilix AI can complement that memory by making relevant saved context available to other tools connected to the same Vilix AI account. Wiring the same get_context and save_turn loop into the agent gives it durable, account-level memory that survives restarts and spans channels, with search over saved exchanges according to your plan. The pattern is documented in how to add memory to any agent with Vilix AI MCP, with dedicated guides for OpenClaw and Hermes.

Getting started

To share saved context beyond Claude, connect your supported tools to the same Vilix AI account and verify the memory loop in each one. Try Vilix AI free (7-day full-Pro trial, no card required).

Frequently asked questions

Does Claude Fable 5 have memory across chats?

Only partly. The Claude apps can carry some remembered details between chats and Projects share context within a workspace, but the model itself is stateless. API calls rely on supplied context, and Claude Code has local instructions and auto memory. That context does not automatically transfer to other tools. For memory that persists across every chat and tool, you add a memory layer such as Vilix AI over MCP.

How do I give Claude Fable 5 persistent memory?

Connect Vilix AI as a custom connector in the Claude app by pasting api.vilix.ai/mcp in Settings under Connectors, or run claude mcp add --transport http vilix https://api.vilix.ai/mcp for Claude Code. After authentication, add the custom instructions. The AI should call get_context, compose the reply, call save_turn with the exact exchange, and then send the saved reply. Verify that sequence in your client.

Does Claude Fable 5 memory work across devices like phone and laptop?

Native app memory is tied to your Anthropic account and only works inside the Claude apps. With Vilix AI the memory is stored server-side in your Vilix AI account, so Claude Fable 5 on your phone and on your laptop can retrieve relevant saved context when both clients are connected to the same account.

Can Claude Fable 5 share context with ChatGPT, Cursor, or Codex?

Not natively; Anthropic's memory never leaves the Claude apps. Through Vilix AI, yes: one MCP-connected memory store is shared by ChatGPT, Claude, Claude Code, Cursor, Codex, Grok, and any other tool that accepts a custom MCP connector, so context created in one tool is available in all of them.

Can always-on agents running Claude Fable 5 keep permanent memory?

Yes. Agents built on OpenClaw, Hermes, or a custom MCP-capable framework can call get_context before composing a response, save the exact exchange with save_turn, and then send the saved response. The memory lives in your Vilix AI account rather than in the agent process, so it survives reboots and redeploys and is shared across every channel the agent listens on.