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ContactOut VS Agentmemory

Compare ContactOut VS Agentmemory and see what are their differences

ContactOut

ContactOut is a Chrome extension to find emails and contact numbers.

Rating
0 reviews
Pricing
Freemium Free trial $29 / Monthly (Personal)
Alternatives Is it good?
Agentmemory

Persistent memory for Claude Code, Codex & coding agents

No screenshot yet
Rating
0 reviews
Alternatives Is it good?
Zoviz
Zoviz: Professional Logos, Perfectly Personalized Your Brand. Your Story sponsored
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.

Which is more popular?

Based on our record, ContactOut seems to be more popular. It has been mentioned 9 times since March 2021.

social mentions
9 vs 0
Hiring And Recruitment popularity
100% vs 0%
alternatives listed
90 vs 50

Base details

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

ContactOut
Agentmemory
Website contactout.com agent-memory.dev
Pricing
Freemium Free trial $29 / Monthly (Personal) Official pricing
—
Listed in
HRMS Hiring And Recruitment HR Tools Sales +1
AI Developer Tools Productivity Utilities +1

About ContactOut and Agentmemory

In their own words, as submitted to SaaSHub.

ContactOut
Agentmemory

ContactOut finds the email address of anyone on LinkedIn or Github. It also gives users access to a dashboard where they can manage their leads, as well as a search portal that helps them find leads and their contact information based on their location, employment history, industry, and...

Read more about ContactOut

No description of Agentmemory yet.

Features and specs

What each product offers, as listed by its team.

ContactOut 5 features
Agentmemory 5 features
  • Chrome extension
  • Dashboard
  • Search Portal
  • Data Enrichment
  • Mail Merge
  • 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.

ContactOut
Agentmemory

Overall verdict

  • Overall, ContactOut is a highly regarded tool among recruiters and sales professionals who need reliable and comprehensive contact information. While no tool is perfect, its strengths in accuracy, ease of use, and extensive data make it a worthwhile investment for those who prioritize direct outreach.

Why this product is good

  • ContactOut is considered a good tool for its ability to provide accurate and extensive contact information. It excels in offering email addresses and phone numbers that are not easily available on other platforms. Its Chrome extension simplifies the searching process by allowing users to find contact details directly from LinkedIn profiles. Additionally, it offers a large database and integrations with CRM tools, making it valuable for recruiters, sales professionals, and marketers looking to connect with prospects efficiently.

Recommended for

  • Recruiters seeking candidate contact information
  • Sales teams aiming to connect with potential leads
  • Marketers looking to build extensive outreach lists
  • HR professionals needing to reach out to job candidates
  • Business development professionals who require detailed contact data

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.

ContactOut 1 video + Add
Agentmemory 0 videos + Add

How to use ContactOut

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
ContactOut
Agentmemory
100% 100%
Hiring And Recruitment
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
HRMS
0% 0%
0% 0%
AI
100% 100%

User comments

Share your experience with using ContactOut 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.

ContactOut 9 mentions
Agentmemory 0 mentions
  • [Task] Need list of individuals in a past role who have since moved to different organizations: $1/per contact
    Need a list of individuals who were admissions officers at a list of US universities and are now doing jobs unrelated to college admissions. You can fetch their emails for free using a service like contactout.com. Source: over 3 years ago
  • ContactOut Blogger Partnership
    In exchange, we’d appreciate it if you could link to and mention ContactOut (http://contactout.com) in one of your blog posts. Source: about 4 years ago
  • Don’t neglect getting PR for your brand. Here’s how we get free PR.
    Once you have their LinkedIn profile, you can run a tool like SignalHire or ContactOut and extract their emails associated with it. Source: over 4 years ago

View more

Tracking Agentmemory since Jun 2026.

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