# Memoripy

According to OpenAITools.app telemetry verified on 2026-11-11, Memoripy (memoripy.com) is an AI platform indexed under AI Agent generating 105 monthly visits with a month-over-month traffic delta of -1.8K (-94.5%). Its primary geographic market is Global (— traffic share), and it operates on a Free pricing model. Top competing alternatives by monthly volume include Honcho (137.75K visits/mo), EverMemOS (24.24K visits/mo), supermemory (156.58K visits/mo).

Open-source memory that makes AI agents remember, adapt and stay relevant.

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Memoripy |
| Handle | memoripy |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| Official Domain | memoripy.com |
| Website URL | https://memoripy.com |
| Categories | AI Agent, AI Developer Tools, AI Knowledge Management, AI Chatbot, AI Assistant, Large Language Models (LLMs) |
| Pricing Model | Free |
| Monthly Visits | 105 |
| MoM Traffic Change | -1,800 |
| MoM Growth Rate | -94.5% |
| Primary Market | Global |
| Market Share | — |
| Direct Visits | 41 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 11 |
| Email Visits | 4 |
| Review Score | 4.5 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Free |
| Tags | AI Memory, Memory Layer, Short-Term Memory, Long-Term Memory, Semantic Clustering, Memory Decay, Context-Aware AI, Open Source AI, LLM Optimization, AI Agents |

## Overview

Memoripy addresses a common weakness in LLM applications: without memory, every interaction starts from zero. It provides an open-source memory layer that equips agents with short-term memory for recent exchanges and long-term memory for knowledge that should persist, turning repetitive systems into assistants that understand context.

Two mechanics keep that memory useful. Concept clustering groups related pieces of information so retrieval is semantic rather than literal, while memory decay gradually lowers the priority of older or unused memories so the assistant focuses on what is currently relevant. Together they reduce the number of LLM calls and tokens spent, which matters for cost and latency.

Because it is designed for developers, Memoripy integrates with platforms such as OpenAI and Ollama and is intended for projects like customer-support chatbots, assistants that adapt to user preferences, autonomous agents, and recommendation systems that benefit from purchase history. It is published as open source, so you can self-host and inspect the implementation.

## Pricing & Plans

Memoripy is open source and free to use; you provide your own model provider (for example OpenAI or Ollama) and any hosting infrastructure.

## Key Features & Capabilities

- **Short-term and long-term memory:** Retain recent interactions alongside durable knowledge so assistants can reference both context and history.
- **Concept clustering:** Group related concepts so retrieval surfaces the right memories instead of matching keywords.
- **Memory decay:** Gradually deprioritize old or unused memories so responses stay focused and token usage drops.
- **Relevant-context retrieval to cut token usage:** Fetch only the most relevant memories before each LLM call, cutting repeated queries.
- **Works with OpenAI, Ollama and more:** Plug into popular model platforms and use it in chatbots, adaptive assistants and autonomous agents.

## Primary Use Cases

- **Context-aware chatbots (AI application developer):** Build assistants that recall past interactions so users do not repeat themselves, and resolve issues faster with relevant history.
- **Adaptive assistants and autonomous agents (Agent builder):** Use clustering and decay to give agents a sense of what matters now and let them adapt to preferences over time.
- **Personalized recommendation systems (Product or data engineer):** Feed remembered purchase or browsing history into recommendations so suggestions improve with every engagement.

## Strengths

- Open source, so you can inspect and self-host the memory layer
- Reduces repeated LLM calls and token usage by retrieving only relevant memories
- Mimics human memory with both short-term and long-term stores
- Model-agnostic, working with OpenAI, Ollama and other platforms
- Practical for chatbots, adaptive assistants and autonomous agents

## Limitations

- Requires developer work to integrate; not a ready-made end-user app
- As an open-source library, features and documentation may lag behind commercial memory services
- Memory decay and clustering behavior needs tuning for each use case
- No hosted managed option mentioned, so you run and scale it yourself

## Frequently Asked Questions

### What is Memoripy?
It is an open-source memory layer for developers that adds short-term and long-term memory to AI agents, backed by concept clustering and memory decay to keep context relevant.

### How do short-term and long-term memory differ?
It stores short-term memory for recent interactions and long-term memory for durable knowledge, then retrieves only the most relevant items, which reduces token usage and avoids repetitive questions.

### What are concept clustering and memory decay?
Concept clustering groups related ideas so retrieval is smarter, while memory decay deprioritizes older or less relevant items so responses focus on what matters now.

### Which model providers does it support?
It works with platforms like OpenAI and Ollama and is designed to slot into AI-driven projects such as chatbots, assistants and recommendation systems.

### Is it free?
Memoripy is open source and free to use. Check the project repository for licensing details and any optional self-hosted infrastructure costs.

### What is Memoripy's monthly traffic and growth trend?
Memoripy currently receives 105 monthly visits, with a month-over-month traffic change of -1.8K (-94.5% growth rate). Its primary source market is Global (— share), including 41 direct visits/mo and 0 organic search visits/mo.

### Is Memoripy free? What is its pricing model?
Memoripy operates on a Free pricing model. Memoripy is open source and free to use; you provide your own model provider (for example OpenAI or Ollama) and any hosting infrastructure. Supported billing and checkout platforms include: not listed.

### What are the best Memoripy alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Memoripy are: 1. Honcho (137.75K visits/mo); 2. EverMemOS (24.24K visits/mo); 3. supermemory (156.58K visits/mo); 4. Hermes-Agent (3.64M visits/mo); 5. Qdrant (72.99K visits/mo).

### Which platforms and core AI capabilities does Memoripy support?
Memoripy is classified under AI Agent, AI Developer Tools, AI Knowledge Management, AI Chatbot, supports the following platforms: Website, and its core capability tags include: AI Memory, Memory Layer, Short-Term Memory, Long-Term Memory, Semantic Clustering, Memory Decay.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Honcho](https://openaitools.app/tool/honcho) | 137,752 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/honcho-vs-memoripy) |
| [EverMemOS](https://openaitools.app/tool/evermemos) | 24,237 | Free Trial, Free | [Compare](https://openaitools.app/compare/evermemos-vs-memoripy) |
| [supermemory](https://openaitools.app/tool/supermemory-1) | 156,579 | Contact for Pricing | [Compare](https://openaitools.app/compare/memoripy-vs-supermemory-1) |
| [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | Freemium | [Compare](https://openaitools.app/compare/hermes-agent-1-vs-memoripy) |
| [Qdrant](https://openaitools.app/tool/qdrant-io) | 72,992 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/memoripy-vs-qdrant-io) |
| [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | Free | [Compare](https://openaitools.app/compare/memoripy-vs-unsloth-ai) |
| [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/memoripy-vs-pinecone) |
| [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | Free Trial, Paid | [Compare](https://openaitools.app/compare/blackbox-ai-1-vs-memoripy) |
| [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/llamaindex-vs-memoripy) |
| [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/memoripy-vs-portkey-ai) |
| [HydraDB OSS](https://openaitools.app/tool/hydradb-oss) | 29,635 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/hydradb-oss-vs-memoripy) |
| [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/memoripy-vs-merge-dev) |

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Source: https://openaitools.app/tool/memoripy