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Agentmemory VS WhatRuns

Compare Agentmemory VS WhatRuns and see what are their differences

CloudCLI
Shared cloud environments for AI coding agents. Run Claude Code, Cursor CLI, Codex, and Gemini CLI from any device, API, or automation tool. featured
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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

Agentmemory logo Agentmemory

Persistent memory for Claude Code, Codex & coding agents

WhatRuns logo WhatRuns

Extension that helps you identify technologies used on any website at the click of a button.
Not present
  • WhatRuns Landing page
    Landing page //
    2019-02-21

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.

WhatRuns features and specs

  • Ease of Use
    WhatRuns offers a user-friendly interface that makes it straightforward for users to identify technologies used on websites without requiring technical knowledge.
  • Comprehensive Technology Detection
    The tool can detect a wide range of technologies including frameworks, analytics tools, WordPress plugins, and more, providing a thorough analysis of websites.
  • Browser Extension
    WhatRuns is available as a browser extension, making it easily accessible and convenient to use directly within your web browser.
  • Freemium Model
    The tool offers a basic free tier, allowing users to access essential features without any cost. There is also a premium option for more advanced features.
  • Regular Updates
    WhatRuns frequently updates its database and functionality, ensuring that users get accurate and up-to-date information.

Possible disadvantages of WhatRuns

  • Limited Free Version
    While the free version is useful, it has limitations in terms of the depth of information and the number of queries you can perform.
  • Privacy Concerns
    Since WhatRuns scans websites and collects data, there could be privacy concerns regarding what data is collected and how it is used.
  • Dependency on Browser
    As a browser extension, it requires installation and could be affected by browser updates or compatibility issues.
  • False Positives/Negatives
    There might be occasional inaccuracies in technology detection, leading to false positives or negatives, which can be misleading.
  • Limited Support
    Support for users, particularly those using the free version, is limited and may not always be responsive or comprehensive.

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 WhatRuns)

Agentmemory

WhatRuns

Developer Tools
100 100%
Developer Tools
0% 0
Market Research
0 0%
Market Research
100% 100
AI
100 100%
AI
0% 0
Sales Automation
0 0%
Sales Automation
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 WhatRuns

Agentmemory Reviews

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WhatRuns Reviews

15 Best BuiltWith Alternatives 2022
Compared to BuiltWith, WhatRuns is easier to use and shows a simple user interface with details you want to know about a site. It works exclusively as a browser extension that shows you specific technologies of a website open in the browser. You donโ€™t have to visit the WhatRuns website each time you want to collect data about a site.
Source: rigorousthemes.com

What are some alternatives?

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

Pieces for Developers - Centralized code snippet manager to streamline your workflow

Wappalyzer - Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.

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

BuiltWith - Find out the technology behind websites

OpenMemory MCP - Your private, local memory layer for all AI tools

Similar Tech - SimilarTech offers a Sales Insights platform which helps companies uncover their ideal market by crawling the sourcecode of over 300M sites.

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