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Lusha VS Agentmemory

Compare Lusha VS Agentmemory and see what are their differences

Seranova
Seranova AI helps home service businesses automate review outreach, stay on top of customer conversations, and grow reputation without extra headcount. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Lusha logo Lusha

Search less. Sell more.

Agentmemory logo Agentmemory

Persistent memory for Claude Code, Codex & coding agents
  • Lusha Landing page
    Landing page //
    2023-06-14

Lusha is a continuously updating database that provides B2B Salespeople with targeted, accurate, and timely business information. Lusha aggregates its data from multiple sources, cross-checking and updating LIVE to ensure up-to-the-minute data accuracy and database cleanliness.

Not present

Lusha

Website
lusha.com
Release Date
2016 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Adi Weisz
Employees
100 - 249
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Agentmemory

Website
agent-memory.dev
Release Date
-
Edit details

Lusha features and specs

  • Accuracy
    Lusha provides highly accurate contact and company information, which can be vital for sales and marketing teams.
  • Ease of Use
    The platform is user-friendly, and the browser extension makes it very convenient to access contact details directly from LinkedIn or other websites.
  • Data Enrichment
    Lusha can enrich existing databases with additional information, making it easier to build comprehensive profiles of leads and contacts.
  • GDPR Compliance
    Lusha is compliant with GDPR, which provides peace of mind for businesses operating in or dealing with customers in the EU.
  • Integrations
    Lusha integrates seamlessly with various CRM systems, making it easier to manage and utilize the data within existing workflows.

Possible disadvantages of Lusha

  • Cost
    Lusha can be expensive, especially for small businesses or startups with limited budgets.
  • Data Privacy
    Despite GDPR compliance, some users may still have concerns regarding data privacy and the ethical implications of scraping contact information.
  • Limited Database
    The database might not be as extensive as some competitors, potentially limiting the scope of accessible contact information.
  • Credit System
    Lusha operates on a credit system for accessing information, which can be restrictive and may require additional purchases for extensive use.
  • Occasional Inaccuracies
    Despite generally high accuracy, some users may encounter occasional outdated or incorrect information, especially in rapidly changing industries.

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.

Analysis of Lusha

Overall verdict

  • Lusha is generally considered a good tool for sales and marketing professionals looking to enrich their contact databases and access B2B contact information.

Why this product is good

  • Lusha provides accurate business contact information, such as email addresses and phone numbers, which can help sales teams reach key decision-makers more efficiently. It is known for its ease of use, integration with popular platforms like LinkedIn and Salesforce, and its ability to enhance CRM systems with valuable data.

Recommended for

  • Sales professionals seeking to generate leads
  • Marketing teams aiming to target specific industries or company sizes
  • Recruiters looking for potential candidates and their contact details
  • Businesses aiming to enrich their CRM with verified contact information

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

Lusha videos

+ Add

How to use Lusha

More videos:

  • Review - Lusha
  • Review - ๐˜‰๐˜ถ๐˜ง๐˜ง๐˜ฆ๐˜ฅ ๐˜™๐˜ช๐˜ด๐˜ฌ๐˜บ ๐˜‹๐˜ข๐˜ด๐˜ฉ - NEW LUSHA! Light Warbear 2A in RTA! - [Monster Review] - Summoners War

Agentmemory videos

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

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Category Popularity

0-100% (relative to Lusha and Agentmemory)

Lusha

Agentmemory

Lead Generation
100 100%
Lead Generation
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Sales Tools
100 100%
Sales Tools
0% 0
AI
0 0%
AI
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 Lusha and Agentmemory

Lusha Reviews

Best AI Prospecting Tools for B2B Sales in 2026
What is the difference between a prospecting tool and a sales engagement tool? Prospecting tools find and verify contact information. Sales engagement tools run outreach sequences and manage replies. Some platforms, including toflow.ai, Apollo.io, and lemlist, cover both in a single product. Others, like Lusha, focus on data only and are designed to pair with a separate...
Source: toflow.ai
ZoomInfo vs Lusha vs Apollo vs MillionPhones: 2026 Comparison
Lusha made a name with their Chrome extension โ€” hover over a LinkedIn profile and get the phone number. It's simple and it works. Their data quality for US direct dials is solid. The free tier is slim (5 credits/month), and pricing scales quickly once you need volume.
Source: millionphones.com
Top 10 Lead Generation and Engagement Tools
Lusha is a lead generation tool focused on providing accurate B2B contact details. It enriches leads with verified email addresses, phone numbers, and company information, helping businesses quickly reach key decision-makers.
Source: rainex.io
21 Best Lead Generation Software for 2024
Lusha is a powerful LinkedIn lead generation software for marketing and sales teams looking to connect with high-quality prospects on the platform.
Source: www.sender.net
11 Apollo.io Alternatives and Competitors 2024
Based on various factors, such as user reviews and feedback, the leading alternatives to Apollo.io are Zoominfo, Kaspr, Lead411, and Lusha.
Source: evaboot.com

Agentmemory Reviews

We have no reviews of Agentmemory yet.
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Social recommendations and mentions

Based on our record, Lusha 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.

Lusha mentions (1)

Agentmemory mentions (0)

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

What are some alternatives?

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

Apollo.io - Apolloโ€™s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.

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

ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.

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

Hunter.io - Find all the email addresses related to a domain

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

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