One memory, every vendor
FusionLayer is a shared memory and multi-model evaluation engine for developers and technical teams building AI applications. Drop it into any stack — ChatGPT, Claude, Cursor, Gemini, or your own models — and every tool shares the same context. Three privacy retention modes built in: Smart (server-indexed), Private (on-device encryption, server holds only ciphertext), and Incognito (ephemeral). Free tier available — no credit card to start.
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Cross-vendor memory
Context captured in one AI tool is available in every other. Sessions, decisions, preferences — indexed once, available everywhere. No re-explaining.
Learn more →Privacy by default
Three retention modes: Smart (server-indexed), Private (client-encrypted, server holds only ciphertext), and Incognito (ephemeral). You choose per session. In Private mode, your content is encrypted on-device before leaving — we hold only ciphertext. See ADR 0014 for the full data model.
Learn more →Multi-model evaluation
FusionLayer silently evaluates and routes to the best-fit model for each task. One setting for your users — no model expertise required on your end.
Learn more →Drop-in SDK
Add FusionLayer to any AI app in minutes. Inject memory into prompts, handle privacy modes, and connect to the eval engine — all from one package.
Learn more →Add shared memory in minutes
Install the SDK, initialize with your API key, and inject relevant context into every prompt. FusionLayer handles retrieval, compression, and privacy — you handle your product.
const client = new FusionLayerClient({
apiKey: process.env.FL_API_KEY,
})
// Recall relevant context for a prompt
const ctx = await client.recallContext({
query: input,
limit: 5,
})
// Use context with any vendor
const response = await anthropic.messages.create({
system: ctx.contextBlock,
messages: [{ role: 'user', content: input }]
})
Ready to add shared memory to your AI app?
Start with the SDK or add FusionLayer to Claude Code, Cursor, or any MCP-compatible tool in one command.