
Supermemory
cognee
Memori
ChainMemory
Claiv Memory
Notion
Agentmemory
Your private, local memory layer for all AI tools

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, Mem0 seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | mem0.ai | hydromancer.xyz |
| Pricing | — | |
| Company | Startup from the United States | Startup from The Netherlands · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Mem0 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.


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 Mem0 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 Mem0 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
Mem0 is probably the most mature cloud-hosted memory option. Good semantic search, clean API, supports multiple LLM providers. The cloud dashboard is solid for browsing stored memories. - Source: dev.to / 4 months ago
Tracking Hydromancer since Sep 2026.
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