Agentmemory

Website

agent-memory.dev

Pricing URL

-

Platforms

-

Release Date

-

Categories

#AI #Developer Tools #Productivity #Utilities

GetEnough.app

Website

getenough.app

Pricing URL

Official GetEnough.app Pricing

Platforms

iOS

Release Date

2026 June

Categories

#Personal Productivity #Productivity #Time Management #Focus

Startup details

Country

United States

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.

GetEnough.app features and specs

• Focus on mindful consumption
  GetEnough.app appears to center around helping users build healthier relationships with consumption habits, which can promote mindfulness and intentional living rather than impulsive behavior.
• Simple, targeted concept
  The app seems to have a clear, narrow focus rather than trying to be an all-in-one solution, which can make it easier to understand and use effectively for its specific purpose.
• Potential for habit tracking benefits
  Tools like this often help users become more aware of patterns in their behavior, which can lead to better self-regulation and long-term positive habit formation.
• Lightweight and accessible
  As a web-based app, it likely requires no complex installation and can be accessed across devices with a browser, increasing convenience for users.
• Niche audience appeal
  By targeting a specific need (curbing overconsumption or similar goals), it may resonate strongly with users looking for a specialized tool rather than a generic habit tracker.

Analysis of Agentmemory