Software Alternatives & Startups

SuperDev Pro VS Agentmemory

Compare SuperDev Pro VS Agentmemory and see what are their differences

SuperDev Pro

14-in-1 browser extension developers and designers love.

Rating
0 reviews
Pricing
Freemium $60 / One-off
Agentmemory

Persistent memory for Claude Code, Codex & coding agents

No screenshot yet
Rating
0 reviews

Which is more popular?

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

social mentions
1 vs 0
Developer Tools popularity
78% vs 22%
alternatives listed
178 vs 55

Base details

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

SuperDev Pro
Agentmemory
Website superdevpro.com agent-memory.dev
Pricing
Freemium $60 / One-off Official pricing
—
Platforms
Google Chrome Edge Brave
—
Company 2022 —
Listed in

About SuperDev Pro and Agentmemory

In their own words, as submitted to SaaSHub.

SuperDev Pro
Agentmemory

SuperDev Pro is a 14-in-1 browser extension 🧩 that helps developers and designers find and fix UI issues on any website 3x faster, used by 6000+ professionals around the world to ship world-class websites.

Read more about SuperDev Pro

No description of Agentmemory yet.

Features and specs

What each product offers, as listed by its team.

SuperDev Pro 14 features
Agentmemory 5 features
  • CSS Inspector
    Easily inspect or edit CSS
  • Live Text Editor
    Test new texts in a blink
  • Fonts Changer
    Effortless font switching
  • List All Fonts
    Font details at fingertips
  • Color Picker
    Precise color selection
  • Color Palette
    Explore website colors
  • Move Element
    Move elements with ease
  • Delete Element
    Delete or hide elements
  • Export Element
    Export favorite elements
  • Extract Images
    Extract images in a click
  • Page Ruler
    Measure with precision
  • Page Outliner
    Visualize HTML structure
  • Image Replacer
    Swap images seamlessly
  • Take Screenshot
    Screenshots in a snap
  • 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.

SuperDev Pro
Agentmemory

No analysis of SuperDev Pro 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

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
SuperDev Pro
Agentmemory
78% 78%
22% 22%
0% 0%
AI
100% 100%
100% 100%
0% 0%
100% 100%
0% 0%

User comments

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

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Social recommendations and mentions

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

SuperDev Pro 1 mention
Agentmemory 0 mentions
  • My Micro Portfolio made $7,225(+23%) in September
    A chrome extension of 17 tools(https://superdevpro.com) in one and my plan to add 30+ tools by this year. - Source: Hacker News / about 1 year ago

Tracking Agentmemory since Jun 2026.

Alternatives to SuperDev Pro and Agentmemory

When comparing SuperDev Pro and Agentmemory, you can also consider the following products.