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.
这是编辑给出的评估，满分 5 分，不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳，不是真实用户的评价。
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）。
开源 AI 记忆层的神，终于不用每次都从零开始对话了。
概念聚类和衰减机制挺有意思，集成起来也顺手。
极大减少了重复提问和 token 消耗。
文档稍微简陋了一点，自己看源码摸索的。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成，旨在呈现不同使用场景下的常见槽点与亮点，非实名真实用户评价。
Retain recent interactions alongside durable knowledge so assistants can reference both context and history.
Group related concepts so retrieval surfaces the right memories instead of matching keywords.
Gradually deprioritize old or unused memories so responses stay focused and token usage drops.
Fetch only the most relevant memories before each LLM call, cutting repeated queries.
Plug into popular model platforms and use it in chatbots, adaptive assistants and autonomous agents.
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.
Build assistants that recall past interactions so users do not repeat themselves, and resolve issues faster with relevant history.
Use clustering and decay to give agents a sense of what matters now and let them adapt to preferences over time.
Feed remembered purchase or browsing history into recommendations so suggestions improve with every engagement.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | Memoripy | 105 | -94.5% | 39% 直接流量 | 免费 | 当前产品 |
| 1 | Honcho | 13.78万 | +2.2% | 43% 直接流量 | 付费，定价请咨询 | 对比 Honcho |
| 2 | EverMemOS | 2.42万 | +12% | 60% 直接流量 | 免费试用，免费 | 对比 EverMemOS |
| 3 | supermemory | 15.66万 | -7.7% | 45% 直接流量 | 定价请咨询 | 对比 supermemory |
| 4 | Hermes-Agent | 363.87万 | -5.4% | 29% 直接流量 | 免费增值 | 对比 Hermes-Agent |
| 5 | Qdrant | 7.3万 | -38.4% | 60% 直接流量 | 免费增值，定价请咨询 | 对比 Qdrant |
| 6 | Unsloth AI | 88.75万 | -17.6% | 30% 直接流量 | 免费 | 对比 Unsloth AI |
免费 / 开源Honcho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines.
免费 / 开源EverMemOS (also described as EverOS) by EverMind is a memory operating system for AI agents and applications. It adds persistent, self-evolving memory on top of stateless LLMs: agents store multimodal content, retrieve it through hybrid mRAG, distill repeated patterns into reusable Skills, and keep facts in sync over time.
免费 / 开源EverMemOS (also described as EverOS) by EverMind is a memory operating system for AI agents and applications. It adds persistent, self-evolving memory on top of stateless LLMs: agents store multimodal content, retrieve it through hybrid mRAG, distill repeated patterns into reusable Skills, and keep facts in sync over time.
免费 / 开源Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
高可信前沿推理，端到端加密
