MCP简体中文Upgrade
Market/Categories/Developer & AI Platform/Hebbrix

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Hebbrixhebbrix.com

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformhebbrix.comTracked since 2026-08-191 discovery source
57Backlinks
28Referring domains
7Domain authority
+250%Referring domains · 90 days

Authority & distribution

How strong is Hebbrix’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

57Current snapshot

Referring domains

28Current snapshot

Authority

7Domain authority · category median 22

90-day move

+250%Referring domains, last 90 days
At 7, Hebbrix sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 271 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

Traffic & engagement

Where Hebbrix ranks

Measured · Pro

Measured for this product: global rank and country rank.

Unlock this profileOpen the full profile

AI referral visibility

Which AI assistants are already sending Hebbrix traffic?

Measured · Pro

Measured for this product: AI referral traffic.

Unlock this profileOpen the full profile

Product profile

What Hebbrix is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Hebbrix”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.hebbrix.com/?ref=futuretools.io

Observed across 1 discovery source.

Research questions

What the evidence answers about Hebbrix.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Hebbrix do and what problem does it solve?

Hebbrix provides persistent memory infrastructure for AI agents, allowing them to remember what worked based on outcomes rather than just textual similarity. It solves the problem where AI systems cannot reliably improve by distinguishing successful actions from unsuccessful ones.

What features or technical components does Hebbrix offer?

Hebbrix offers a drop-in memory layer that integrates with existing OpenAI clients. Its core technical components include outcome-weighted recall, memory that decays based on multiple factors, and a knowledge graph for reasoning over relationships.

How is Hebbrix integrated into an existing stack?

Integration is achieved by changing a single line of code. Developers point their existing OpenAI client to the Hebbrix API endpoint, and memory is retrieved and injected into context automatically.

Who is Hebbrix for?

Hebbrix is for developers building AI agents who need a production-ready memory system. It is designed as an API and SDK to be integrated into existing applications.

What is Hebbrix?

Hebbrix is a persistent memory infrastructure service for AI agents, categorized as a Developer & AI Platform tool.

5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Hebbrix intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 271.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured