MemoryLake
The memory lake for every AI - neutral by design
About MemoryLake
MemoryLake addresses a problem that gets worse as you use more AI tools rather than better. Every assistant maintains its own memory, none of them share it, and switching from ChatGPT to Claude means re-establishing context you already built up somewhere else. The memory you accumulate is effectively hostage to whichever vendor you happened to build it inside. MemoryLake is explicitly neutral by design, sitting outside any single provider so the same memory works across ChatGPT, Claude, Gemini, Qwen, Perplexity, OpenClaw, AutoGPT, Manus and anything else with an API.
Coverage is multimodal rather than text-only, spanning conversations, documents, spreadsheets, audio and video, which matters because knowledge does not arrive exclusively as chat transcripts. The service is encrypted and portable, and portability is the point: memory that cannot be moved is memory you do not really own. Pricing is metered by token at roughly $3.125 per million on demand, with subscription plans lowering that rate, and the free tier is permanent rather than a trial. A token saving calculator is published, reflecting the secondary benefit that supplying relevant memory can cost less than repeatedly stuffing a full context window. Dedicated integrations exist for OpenClaw and Hermes, with multi-agent support.
Connect MemoryLake to whichever assistants and agents you use; it is designed to sit alongside them rather than replace any. Feed in the material that constitutes your working context, which can be conversations, documents, spreadsheets, audio or video rather than text alone. From then on, that memory is available to any connected model, so moving between ChatGPT and Claude does not mean starting from nothing. Usage is metered by token, with the free tier providing 300,000 tokens monthly and paid plans providing several million. Subscription quota is consumed before any credit balance, and credits do not expire. The token saving calculator models the cost difference against repeatedly resupplying context manually.
- •Provider Neutral - Works with ChatGPT, Claude, Gemini, Qwen, Perplexity, OpenClaw, AutoGPT, Manus and any API, rather than being tied to one vendor
- •Multimodal Storage - Conversations, documents, spreadsheets, audio and video in a single memory store
- •Portable and Encrypted - Memory you can move and that is encrypted at rest, so it is genuinely yours
- •Free Forever Tier - 300,000 tokens per month permanently, not a time-limited trial
- •Token-Metered Pricing - Around $3.125 per million tokens on demand, with lower effective rates on subscription plans
- •Non-Expiring Credit Balance - Overflow credits beyond your plan quota remain available until used, with auto-recharge available
- •Multi-Agent Ready - Dedicated integrations for OpenClaw and Hermes, and designed for multi-agent setups
- •Token Saving Calculator - Model the cost difference between supplying targeted memory and resupplying full context repeatedly
For people who use several AI assistants seriously and are tired of rebuilding the same context in each, and for developers building agents that need persistent memory without writing a retrieval layer themselves. It suits teams standardising on a memory store while leaving individual model choice open, which is sensible given how fast the frontier changes. Heavy users of long-context prompting should look at the token saving argument, since targeted memory retrieval is often cheaper than repeatedly sending everything. The free tier at 300,000 tokens is enough to evaluate the workflow properly before committing.
Pricing
$0 - $199/mo
- Free$0/mo
- Pro$19/mo
- Premium$199/mo
From the vendor pricing page, 2026-09-21
