Software Alternatives, Accelerators & Startups

Kostly VS Agentmemory

Compare Kostly VS Agentmemory and see what are their differences

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Kostly logo Kostly

The most accurate food costing app for restaurants and professional chefs. Calculate cost per serving, manage sub-recipes, scan recipes with AI.

Agentmemory logo Agentmemory

Persistent memory for Claude Code, Codex & coding agents
  • Kostly dashboard
    dashboard //
    2026-01-12
  • Kostly
    Image date //
    2026-01-13
  • Kostly
    Image date //
    2026-01-13
  • Kostly
    Image date //
    2026-06-27
  • Kostly
    Image date //
    2026-06-27
  • Kostly
    Image date //
    2026-06-27

Kostly is a cloud-based restaurant costing app designed for everyday use by chefs and owners.

With Kostly, you can cost recipes, see the actual food cost and profit margin per dish, and adjust your menu based on real data.

The app was created by chefs, for restaurant professionals, and replaces messy Excel spreadsheets with a clean, constantly updated view of costs and profitability.

Not present

Kostly

$ Details
paid Free Trial โ‚ฌ5.99 / Monthly
Release Date
2026 February
Startup details
Country
Greece
Founder(s)
stefanos nousias
Employees
1 - 9

Agentmemory

Pricing URL
-
$ Details
-
Release Date
-

Kostly features and specs

  • Cost Confidence
    Every dish and subrecipe comes with a reliability indicator. You know: when the cost is reliable when it's based on estimates what needs fixing to improve
  • Advanced AI Tools
    Leverage AI to optimize your menu, find wastage opportunities, and auto-match ingredients. AI Wastage Finder AI Menu Optimization Auto Ingredient Matching
  • Real-time Analytics
    Track profitability in real time Detailed statistics for every dish and menu. Identify opportunities and maximize profits. Margin Analysis Profit per dish Price Trends Ingredient price changes Top Performers Most profitable dishes Export PDF/Excel Reports for accounting
  • Invoice Scanning
    AI Invoice Scan transforms supplier invoices into structured purchasing data. Automatically extract products, quantities, units and prices, intelligently match them with your ingredient library, detect supplier price changes and keep your food cost calculations accurate without manual data entry.

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 Kostly

Overall verdict

  • I don't have verified information about a specific product or service called Kostly at kostly-app.com, so I can't confirm whether it is genuinely good or reliable. Please verify its legitimacy, reviews, and security before using it.

Why this product is good

  • Unable to confirm the product exists or its track record from reliable sources
  • No verified user reviews or independent evaluations are available to me
  • The domain and app should be independently checked for legitimacy, security, and privacy practices
  • You should look for official reviews, trustpilot ratings, and community feedback before trusting it

Recommended for

  • Users who have independently verified the service's legitimacy and reputation
  • People who have read recent, authentic third-party reviews
  • Those who have confirmed the app's security, privacy policy, and terms before signing up

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

Kostly videos

kostly app Tutorial

Agentmemory videos

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

Add video

Category Popularity

0-100% (relative to Kostly and Agentmemory)
Food And Beverage
100 100%
0% 0
Developer Tools
0 0%
100% 100
Food And Drink
100 100%
0% 0
AI
0 0%
100% 100

Questions & Answers

As answered by people managing Kostly and Agentmemory.

What makes your product unique?

Kostly's answer

Kostly is a dish costing tool for professional kitchens. It shows you the real food cost of each dish, based on proper units of measurement, yields, and actual data โ€” not estimates.

Why should a person choose your product over its competitors?

Kostly's answer

Kostly only calculates cost when the data is sufficient. That's why every dish and subrecipe comes with a Cost Confidence indicator, so you know when you can trust the number and when it needs review.

How would you describe the primary audience of your product?

Kostly's answer

chef,restaurant,hotel

What's the story behind your product?

Kostly's answer

How the idea started

I'm a chef. And for years I made daily decisions about ingredients, menus, and prices โ€” without always having a clear picture of costs.

I knew what sold.

I knew what people liked. But often I didn't know what really made a profit.

What I saw in practice

In most of the restaurants I worked or collaborated with, costing was done:

roughly,

rarely,

usually in Excel.

The prices of the ingredients changed, but the food cost was not updated.

And so, dishes that we considered "strong" turned out to be loss-making in practice.

Not out of ignorance.

Out of lack of tools.

The real problem

The chef and the restaurateur are called upon to make critical decisions:

what goes on the menu

what goes out

what goes up in price

Without reliable data, these decisions are made on instinct.

And instinct is not enough for a sustainable business.

Why Kostly was created

Kostly was started to solve exactly this problem.

To have:

clear costing per dish,

real food cost,

a clear picture of profit,

without complex systems and without Excel.

A tool made from the kitchen to the business, not the other way around.

The vision

Starting in Greece, Kostly's goal is to help restaurants across Europe โ€” and internationally โ€” work with data, not assumptions.

Because a good dish deserves to be profitable.

Which are the primary technologies used for building your product?

Kostly's answer

Kostly is built using modern web technologies including React, TypeScript, Vite and Tailwind CSS for the frontend, Supabase for authentication, database and backend services, and Stripe for subscription management and payments. AI-powered features are integrated to automate invoice scanning, recipe analysis and food cost optimization.

Who are some of the biggest customers of your product?

Kostly's answer

Kostly is trusted by independent chefs, restaurants, cafรฉs, bars, hotels and hospitality businesses. As a growing SaaS platform, we're continuously expanding our customer base while helping food professionals simplify costing, improve profitability and save time.

User comments

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Reviews

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

Kostly Reviews

  1. Ieva S.
    ยท Working at The Albion ยท
    A must try !

    Itโ€™s in beta version now, but i see very good results so far ! Itโ€™s really helpful and super smart.

Agentmemory Reviews

We have no reviews of Agentmemory yet.
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What are some alternatives?

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

KoreLab - Food costing and quality management software for artisan food producers: real food cost, EU-compliant product sheets with allergens and nutrition facts, plus HACCP self-control, ISO/IFS/BRCGS/FSSC certifications and consultant collaboration.

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

Cheffie - Custom food recommendations for every aspect of your life

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

KitchenCost.app - Recipe cost calculator for chefs and small food businesses

Memori - Persistent memory from agent trace, not just conversation