Software Alternatives, Accelerators & Startups

Agentmemory VS Extensiondock

Compare Agentmemory VS Extensiondock and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Agentmemory logo Agentmemory

Persistent memory for Claude Code, Codex & coding agents

Extensiondock logo Extensiondock

Best CRX Extractor For Chrome Extension
Not present
  • Extensiondock Landing page
    Landing page //
    2023-01-26

CRX files are often referred to as Google Chrome extensions. CRX file can be installed offline on your Chrome browser. With the CRX Extractor, you can download and install and use Google extensions without having to log in to the store.

CRX files are saved in a compressed format and contain executable programs. With CRX Extractor you can get the source code of the CRX file ready for parsing. Also, you don't need to worry that someone will know that you have downloaded the CRX for Chrome extension, CRX Extractor will do it for you.

Agentmemory

$ Details
-
Platforms
-
Release Date
-

Extensiondock

$ Details
Platforms
Google Chrome
Release Date
2022 October

Agentmemory features and specs

  • 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 of Agentmemory

  • 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.

Extensiondock features and specs

  • Download chrome extensions by CRX extractor

Analysis of Agentmemory

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

0-100% (relative to Agentmemory and Extensiondock)
Developer Tools
100 100%
0% 0
Chrome Extensions
0 0%
100% 100
AI
100 100%
0% 0
Search Engine
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Agentmemory and Extensiondock

Agentmemory Reviews

We have no reviews of Agentmemory yet.
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Extensiondock Reviews

  1. Extensiondock
    ยท CEO at Extensiondock ยท
    Competitors: CRX Extractor
    Pros:    Secure and easy to use|Valid and free of charge
    Cons:    Search engines need to be strengthened

Social recommendations and mentions

Based on our record, Extensiondock seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Agentmemory mentions (0)

We have not tracked any mentions of Agentmemory yet. Tracking of Agentmemory recommendations started around Jun 2026.

Extensiondock mentions (1)

  • I made a CRX Extractor for Chrome extension.
    Check it out: https://extensiondock.com/en. Source: almost 4 years ago

What are some alternatives?

When comparing Agentmemory and Extensiondock, you can also consider the following products

ChainMemory - Portable, verifiable memory for AI agents โ€” works across ChatGPT, Claude, Gemini and any MCP client

CRX Extractor - Get any Chrome Extension source code. Learn and hack!

Mem0 - Your private, local memory layer for all AI tools

Chrome Web Store - Chrome Web Store is an officially recognized application store being developed and managed by the Google.

Memori - Persistent memory from agent trace, not just conversation

Mozilla Add-ons - Download Firefox extensions and themes. Theyโ€™re like apps for your browser. They can block annoying ads, protect passwords, change browser appearance, and more.