# Memoripy 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Memoripy（memoripy.com）是一个收录在 AI Agent 下的 AI 平台，月访问量为 105，月度环比流量变化为 -1800（-94.5%）。其主要地理市场为全球（— 流量份额），采用免费定价模式。按月流量计算的主要竞争替代方案包括 Honcho（13.78万次访问/月），EverMemOS（2.42万次访问/月），supermemory（15.66万次访问/月）。 Memoripy is an open-source memory layer that gives AI agents human-like short-term and long-term memory. It clusters concepts, applies memory decay, and retrieves only the most relevant context so chatbots and assistants respond without repeating themselves. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | Memoripy | | 标识 | memoripy | | Status | active | | Origin | open_source | | Maintenance | active | | 官方域名 | memoripy.com | | 官网地址 | https://memoripy.com | | 分类 | AI Agent, AI Developer Tools, AI 知识管理, AI 聊天机器人, AI 助手, Large Language Models (LLMs) | | 定价模式 | 免费 | | 月访问量 | 105 | | 月度环比流量变化 | -1,800 | | 月度环比增长率 | -94.5% | | 主要市场 | 全球 | | 市场份额 | — | | 直接访问量 | 41 | | 自然搜索访问 | 0 | | 社交访问 | 0 | | 推荐访问 | 11 | | 邮件访问 | 4 | | 评价得分 | 4.5 | | 收藏数 | 0 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 功能: 网站; 定价: 免费 | | 标签 | AI 记忆, 记忆层, 短期记忆, 长期记忆, 语义聚类, 记忆衰减, 上下文感知 AI, 开源 AI, LLM 优化, AI 智能体 | ## 概览 Memoripy is an open-source memory layer that gives AI agents human-like short-term and long-term memory. It clusters concepts, applies memory decay, and retrieves only the most relevant context so chatbots and assistants respond without repeating themselves. ## 定价与套餐 Memoripy is open source and free to use; you provide your own model provider (for example OpenAI or Ollama) and any hosting infrastructure. ## 关键功能与能力 - **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. ## 主要用例 - **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. ## 优势 - 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 ## 局限 - 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 ## 常见问题 ### 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. ### Memoripy 的月流量和增长趋势如何？ Memoripy 目前每月获得 105 访问量，月度环比流量变化为 -1800（增长率 -94.5%）。其主要来源市场是全球（— 份额），包括每月 41 次直接访问和每月 0 次自然搜索访问。 ### Memoripy 免费吗？它的定价模式是什么？ Memoripy 采用免费定价模式。Memoripy is open source and free to use; you provide your own model provider (for example OpenAI or Ollama) and any hosting infrastructure. 支持的计费和结账平台包括：未列出。 ### 2026 年 Memoripy 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，Memoripy 的前五个替代方案是：1. Honcho（13.78万次访问/月）; 2. EverMemOS（2.42万次访问/月）; 3. supermemory（15.66万次访问/月）; 4. Hermes-Agent（363.87万次访问/月）; 5. Qdrant（7.3万次访问/月）。 ### Memoripy 支持哪些平台和核心 AI 能力？ Memoripy 被归类在 AI Agent, AI Developer Tools, AI 知识管理, AI 聊天机器人下，支持以下平台：网站，其核心能力标签包括：AI 记忆, 记忆层, 短期记忆, 长期记忆, 语义聚类, 记忆衰减。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [Honcho](https://openaitools.app/zh/tool/honcho) | 137,752 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/honcho-vs-memoripy) | | [EverMemOS](https://openaitools.app/zh/tool/evermemos) | 24,237 | 免费试用，免费 | [对比](https://openaitools.app/zh/compare/evermemos-vs-memoripy) | | [supermemory](https://openaitools.app/zh/tool/supermemory-1) | 156,579 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/memoripy-vs-supermemory-1) | | [Hermes-Agent](https://openaitools.app/zh/tool/hermes-agent-1) | 3,638,741 | 免费增值 | [对比](https://openaitools.app/zh/compare/hermes-agent-1-vs-memoripy) | | [Qdrant](https://openaitools.app/zh/tool/qdrant-io) | 72,992 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/memoripy-vs-qdrant-io) | | [Unsloth AI](https://openaitools.app/zh/tool/unsloth-ai) | 887,457 | 免费 | [对比](https://openaitools.app/zh/compare/memoripy-vs-unsloth-ai) | | [Pinecone](https://openaitools.app/zh/tool/pinecone) | 286,732 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/memoripy-vs-pinecone) | | [BLACKBOX.AI](https://openaitools.app/zh/tool/blackbox-ai-1) | 622,975 | 免费试用，付费 | [对比](https://openaitools.app/zh/compare/blackbox-ai-1-vs-memoripy) | | [LlamaIndex](https://openaitools.app/zh/tool/llamaindex) | 387,910 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/llamaindex-vs-memoripy) | | [Portkey](https://openaitools.app/zh/tool/portkey-ai) | 195,650 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/memoripy-vs-portkey-ai) | | [HydraDB OSS](https://openaitools.app/zh/tool/hydradb-oss) | 29,635 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/hydradb-oss-vs-memoripy) | | [Merge](https://openaitools.app/zh/tool/merge-dev) | 313,201 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/memoripy-vs-merge-dev) | --- 来源：https://openaitools.app/zh/tool/memoripy