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Living Brain

Living Brain
NEWproductivitycoding

One persistent, self-learning memory layer for every AI you use. Pay as you go.

Key facts: Living Brain is a persistent and self-learning interoperable memory layer: one Living Brain for every AI, compatible with 60+ AI platforms and available in-app and via API, SDK and MCP. It compiles scattered conversations, files and updates into structured, source-linked knowledge, so your agents remember more with less context. On its own internal evaluations it reports 92.2% judged accuracy on LoCoMo across 1,540 questions, 464 ms median memory retrieval, and 95% lower cost per task than full context.

Plans: Pay as you go: top up from $5, with no monthly minimum. Model pricing is $8 per 1M input tokens and $0.50 per 1M output tokens. Some plans include $80 in shared monthly credits for 3 cycles, then $50.

Best for: Builders whose agents keep forgetting everything between sessions. Who should skip it: anyone whose AI use is one chat at a time with no memory to keep.

Pros

Watch out for

Best for

Builders whose agents keep forgetting everything between sessions. Who should skip it: anyone whose AI use is one chat at a time with no memory to keep, or anyone who wants a free tier before paying.

Pricing

Pay as you go: top up from $5, no monthly minimum. $8 per 1M input tokens, $0.50 per 1M output tokens.

FAQs

What is Living Brain? A persistent, self-learning memory layer for AI: one memory that works across 60+ AI platforms, in-app and via API, SDK and MCP.

How much does it cost? Pay as you go: top up from $5, with no monthly minimum. $8 per 1M input tokens and $0.50 per 1M output tokens.

What does it remember? Your scattered conversations, files and updates, compiled into structured, source-linked knowledge your agents can reuse.

Is there a free plan? No free tier is listed. You start with a top-up from $5.

Cross-tool AI memorySource-linked knowledgeMemory API and MCP

Try it on the official website — pricing and availability are confirmed there.

Visit Living Brain→

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