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AquilaX VS Agentmemory

Compare AquilaX VS Agentmemory and see what are their differences

AquilaX

GenAI Software Security

Rating
5.0 · 3 reviews
Pricing
Freemium Free trial
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Alternatives Is it good?
Agentmemory

Persistent memory for Claude Code, Codex & coding agents

No screenshot yet
Rating
0 reviews
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Alternatives Is it good?
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Which is more popular?

Based on our record, AquilaX seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
Security popularity
100% vs 0%
alternatives listed
27 vs 55

Base details

Website, pricing, platforms and company facts side by side.

AquilaX
Agentmemory
Website aquilax.ai agent-memory.dev
Pricing
Freemium Free trial Official pricing
—
Platforms
GCP AWS Azure
—
Company Startup from the United Kingdom · 10 - 19 employees · 2024 —
Listed in
Genai Software Security DevSecOps Security Security & Privacy AI Cyber Security Web Application Security Web And Mobile Application Security +6
AI Developer Tools Productivity Utilities +1

About AquilaX and Agentmemory

In their own words, as submitted to SaaSHub.

AquilaX
Agentmemory

AquilaX is a groundbreaking tool in the realm of deep source code assessment, specifically designed to detect vulnerabilities. It stands as the first product on the market to feature an AI engine that can emulate the reasoning of a security engineer performing a manual code review.

Read more about AquilaX

No description of Agentmemory yet.

Features and specs

What each product offers, as listed by its team.

AquilaX 8 features
Agentmemory 5 features
  • Secret & API Keys Scanning
    Detection of secret information in code, including passwords, API keys, access tokens, etc., is accomplished through a collaborative effort involving both open-source scanners and in house developed tools
  • PII & Confidential Data Identification
    Consider the scenario where Personal Identifiable Information is inadvertently left in your code, compounded by the risk of the code being publicly accessible breaching GDRP or other regulatory requirements
  • Static Application Security Testing (SAST)
    Conduct thorough scans on your first-party code to identify vulnerabilities introduced, such as SQL Injection, XSS, and more
  • Software Composition Analysis (SCA)
    Detect and address vulnerabilities within your third-party libraries through processes such as Dependency Scanning and open-source scanning
  • Container Scanning
    Examining Docker images to identify and rectify security vulnerabilities, ensuring robust and secure deployment environments
  • Infrastructure as a Code (IaC)
    Scanning programmatically infrastructure, minimizing human error, ensuring consistency, and enhancing overall security measures in IT resource deployment (in the cloud)
  • API Security
    Conduct code-based API security testing to continuously identify and assess risks in API services and functionalities over time, tracking risk transitions for enhanced security measures
  • Malware & Backdoor Scanning
    Detecting intentional or inadvertent backdoor functionalities in your code requires a thorough examination to identify function deliberately compromising system security
  • Simple API
    Agentmemory provides a straightforward and minimal API for creating, searching, updating, and deleting memories, making it easy for developers to integrate memory capabilities into AI agents without dealing with complex configurations.
  • Built on ChromaDB
    It leverages ChromaDB as its underlying vector database, providing reliable semantic search and embedding capabilities out of the box without requiring developers to set up separate infrastructure.
  • Lightweight and Easy to Install
    Agentmemory is a lightweight Python package that can be installed via pip with minimal dependencies, making it quick to get started with and easy to incorporate into existing projects.
  • Category-Based Memory Organization
    Memories can be organized into categories (topics), allowing agents to store and retrieve information in a structured way, which helps with context management and retrieval accuracy.
  • No Server Required
    Agentmemory can run entirely locally without needing a separate server or cloud service, making it suitable for development, prototyping, and privacy-sensitive applications where data should stay on the local machine.

Possible disadvantages

  • Limited Ecosystem and Community
    Agentmemory is a relatively niche and small project with a limited community compared to more established memory and vector database solutions, which means fewer resources, tutorials, and community support are available.
  • Basic Feature Set
    While simplicity is a strength, the library may lack advanced features such as sophisticated memory consolidation, decay mechanisms, importance scoring, or complex querying capabilities that more mature memory frameworks offer.
  • Tight Coupling to ChromaDB
    Being built specifically on ChromaDB means developers are locked into that particular vector store and cannot easily swap it out for alternatives like Pinecone, Weaviate, or FAISS without significant refactoring.
  • Limited Scalability
    As a locally-run, lightweight solution, Agentmemory may not scale well for production applications that require handling large volumes of memories, high concurrency, or distributed deployments.
  • Sparse Documentation and Examples
    The project's documentation, while covering the basics, may lack comprehensive examples, best practices, and advanced usage patterns that developers need when building complex agent-based systems.

Analysis

An editorial look at what each product does well and who it suits.

AquilaX
Agentmemory

No analysis of AquilaX yet.

Overall verdict

  • AgentMemory (agent-memory.dev) appears to be a solid, purpose-built solution for developers who need persistent memory management in AI agent applications, offering a focused feature set for storing, retrieving, and managing contextual data across agent sessions.

Why this product is good

  • Provides dedicated memory persistence for AI agents, enabling context retention across sessions and conversations
  • Designed specifically for the agentic AI use case, which can simplify development compared to building custom memory layers
  • Likely offers developer-friendly APIs and SDKs to integrate memory capabilities quickly
  • Can improve agent performance by allowing recall of past interactions, user preferences, and long-term context
  • Reduces boilerplate work for teams building conversational or autonomous AI systems

Recommended for

  • Developers building AI agents or LLM-powered applications that require long-term memory
  • Teams creating conversational assistants that need to remember user context across sessions
  • Startups and companies prototyping autonomous or multi-step agent workflows
  • Engineers seeking a managed memory layer instead of building persistence infrastructure from scratch
  • Projects involving personalized AI experiences that depend on retained user data and history

Videos

Walkthroughs and reviews on video.

AquilaX 5 videos + Add
Agentmemory 0 videos + Add

Security Scanner

More videos

  • - Product Demo
  • - AquilaX Product Demo
  • - AquilaX - How to Scan your Code for Vulnerabilities
  • - AquilaX - Code Simplicity

No Agentmemory videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
AquilaX
Agentmemory
100% 100%
Security
0% 0%
0% 0%
AI
100% 100%
100% 100%
Security & Privacy
0% 0%
0% 0%
Developer Tools
100% 100%

User comments

Share your experience with using AquilaX and Agentmemory. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

AquilaX 5.0 · 3 reviews
Agentmemory no reviews yet

We have no reviews of Agentmemory yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

AquilaX 1 mention
Agentmemory 0 mentions
  • The Future of AppSec!
    📢 Ready to See AI-Powered AppSec in Action? Check it out https://aquilax.ai/. - Source: dev.to / almost 2 years ago

Tracking Agentmemory since Jun 2026.

Alternatives to AquilaX and Agentmemory

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