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Requestly VS Agentmemory

Compare Requestly VS Agentmemory and see what are their differences

Requestly

A Powerful API Mocking and Testing Tool

Rating
0 reviews
Pricing
Open source Freemium Free trial
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Alternatives Is it good?
Agentmemory

Persistent memory for Claude Code, Codex & coding agents

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Rating
0 reviews
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Alternatives Is it good?
CloudGPU.app
GPU rental by the minute plus an OpenAI-compatible AI API, on one prepaid balance. Independent service. sponsored

Which is more popular?

Based on our record, Requestly seems to be more popular. It has been mentioned 35 times since March 2021.

social mentions
35 vs 0
Developer Tools popularity
84% vs 16%
alternatives listed
240+ vs 55

Base details

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

Requestly
Agentmemory
Website requestly.com agent-memory.dev
Pricing
Open source Freemium Free trial Official pricing
—
Platforms
Google Chrome Firefox Edge Safari Brave Opera Vivaldi Android Windows Linux Mac OSX MacOS +9
—
Company Startup from the United States · 20 - 49 employees · 2021 —
Listed in
Testing Localhost Tools Developer Tools Debugger Open Source API Clients +3
AI Developer Tools Productivity Utilities +1

About Requestly and Agentmemory

In their own words, as submitted to SaaSHub.

Requestly
Agentmemory

Requestly is a modern and powerful companion for API Development and Testing. It is an open-source tool purpose-built to speed up and simplify API development workflow for developers and QAs. It is a combination of API Client and HTTP Interceptor that helps create and share API Contracts, testing...

Read more about Requestly

No description of Agentmemory yet.

Features and specs

What each product offers, as listed by its team.

Requestly 15 features
Agentmemory 5 features
  • Redirect URL
  • Block Network Requests
  • Modify Request & Response Header
  • Modify Response
  • Supercharge Selenium
  • Session Replay
  • Modify Query Params
  • Team Workspace
  • API Client
  • API Mocks
  • GraphQL Support
  • Zero Setup
  • Auto Capture Sessions
  • Network Logs
  • Console Logs
  • 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.

Requestly
Agentmemory

Overall verdict

  • Requestly is generally regarded as a good tool due to its comprehensive functionalities and ease of use. Its ability to seamlessly manage network requests makes it suitable for both beginners and experienced developers.

Why this product is good

  • Requestly is widely considered a valuable tool because it offers robust and flexible features for intercepting and modifying network requests. Developers and QA testers appreciate it for its ability to simulate and debug API calls efficiently. It is particularly useful for testing changes without altering the codebase and for working with web applications in development and production environments.

Recommended for

  • Developers looking to debug and test API endpoints.
  • Quality Assurance (QA) teams that require reliable testing tools for web applications.
  • Technical professionals who manage network traffic and need to modify or redirect requests effortlessly.
  • Anyone involved in web development who needs to simulate network conditions or test application behavior under different scenarios.

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.

Requestly 5 videos + Add
Agentmemory 0 videos + Add

Get Started with Requestly

More videos

  • - Session Replays by Requestly
  • - Modify API Response using Requestly Chrome Extension
  • - How to load local JS file in production sites for faster debugging (Map Local Tool)
  • - Report Quality Bugs with Video, Network logs, Console logs & Environment details

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
Requestly
Agentmemory
84% 84%
Developer Tools
16% 16%
0% 0%
AI
100% 100%
100% 100%
Testing
0% 0%
100% 100%
APIs
0% 0%

Questions & Answers

As answered by people managing Requestly and Agentmemory.

Who are some of the biggest customers of your product?

Requestly's answer

  • Verizon
  • AT&T
  • Adobe
  • Salesforce
  • Telegraph
  • Intuit
  • Verizon

How would you describe the primary audience of your product?

Requestly's answer

Front-end developers, QAs, PMs, Digital Marketers

What makes your product unique?

Requestly's answer

Requestly is an open-source API development and testing tool that combines the capabilities of an API Client and HTTP Interceptor, making it a better alternative to Postman + Charles Proxy. It simplifies API mocking, request modification, and debugging with an intuitive no-code interface, enabling developers and QAs to test APIs efficiently.

User comments

Share your experience with using Requestly and Agentmemory. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Requestly no reviews yet
Agentmemory no reviews yet

We have no reviews of Agentmemory yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Requestly 35 mentions
Agentmemory 0 mentions

View more

Tracking Agentmemory since Jun 2026.

Alternatives to Requestly and Agentmemory

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

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