Mem0
Mem
Pieces for Developers
Mengram
OpenMemory
Memori
cognee
ai second brain for all your saved stuff

QuickNode Marketplace
SwiftNodes
Hydromancer provides low-latency Hyperliquid APIs, streaming infrastructure, historical datasets, and orderbook data for ambitious builders and traders.

Which is more popular?
Based on our record, Supermemory seems to be more popular. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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Supermemory
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|---|---|---|
| Website | supermemory.ai | hydromancer.xyz |
| Pricing | — | |
| Company | — | Startup from The Netherlands · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of Supermemory yet.
Hydromancer is data infrastructure built specifically for Hyperliquid. It provides REST APIs, real-time WebSocket streams, granular orderbook data and historical datasets for building applications, monitoring markets and running research. App developers use Hydromancer to build trading...
What each product offers, as listed by its team.

No features have been listed yet.
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
No analysis of Hydromancer yet.
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Supermemory and Hydromancer.
Hydromancer's answer:
Hydromancer is a Hyperliquid-only data layer, not an RPC provider. It extends the native API with builder endpoints and batch reads for 1,000+ wallets, and streams the L4 orderbook with maker addresses. The feed is peered to a Foundation node and Hydromancer's own active-set validator, so teams do not have to run that infrastructure themselves.
Hydromancer's answer:
The public Hyperliquid API is free, but it rate-limits heavy reads and does not offer these batch or builder endpoints. RPC providers solve node access, not this data layer. Hydromancer is for teams that already have trading access and need faster reads, order-book streaming, and historical data without running their own nodes.
Hydromancer's answer:
Hyperliquid builders. That includes trading apps, portfolio and analytics products, HIP-3 and HIP-4 market deployers, and market makers who need low-latency order-book data.
Hydromancer's answer:
The team built Hyperdash, a Hyperliquid app later acquired by pvp.trade, and kept hitting the limits of the public API. Hydromancer is the data infrastructure they wanted as builders. It has been Hyperliquid-only since 2024, shaped by teams using it in production. Reservoir, the free historical dataset, is the public-good side of that work.
Hydromancer's answer:
A JSON REST API on the same POST /info shape as Hyperliquid, plus WebSocket streaming and a Python SDK. Under that, Hydromancer runs its own Hyperliquid nodes and an active-set validator, peered in AWS Tokyo. Historical data is stored as Parquet on S3. The site does not publish the application languages, so I would not name those here.
Hydromancer's answer:
These are teams named on the site and in the docs, not a ranking by revenue.
tread.fi, HyENA, Liquid, SEDA, Based, Outcome, Native Markets, Senpi & fomo
Share your experience with using Supermemory and Hydromancer. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0... - Source: dev.to / 2 months ago
Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good... - Source: dev.to / 4 months ago
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come... - Source: dev.to / 5 months ago
Tracking Hydromancer since Sep 2026.
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