赛道情报 / 全球
智能体记忆.
让智能体持续学习的长期记忆。
数据分类
存量红海
项目较密集，搜索需求未达到持续快速增长标准。切入前需要验证具体的用户迁移优势。
报告日期 · 方法版本 1.0.2 · 高 证据置信度
- 在公开的 GitHub 检索范围内，匹配到 840 个活跃项目。
- 关键词“ai agent memory”有 104 个完整周，其中 14% 的周数据被报告为零。
- 匹配的活跃 GitHub 项目
- 840
- 搜索热度增速
- -74% · 最近 8 个完整周与此前 8 周对比
- 关键词与地区
- ai agent memory · 全球
- 完整周观测数
- 104
判断依据
- 相邻两个 8 周窗口的搜索热度中位数下降 74%。
- 匹配到 840 个活跃仓库；公开的供给密集门槛为 50 个。
原始证据
GitHub 仓库搜索 · topic:agent-memory fork:false archived:false stars:>=5 pushed:>=2026-03-19
采集于 2026-09-15T16:35:44.668Z
Google Trends 搜索热度 · 采集于 2026-09-15T16:28:32.291Z
主要仓库
| 仓库 | Star 数 | 简介 |
|---|---|---|
| 666ghj/MiroFish | 73,576 | A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物 |
| bojieli/ai-agent-book | 47,539 | 《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码 |
| pingcap/tidb | 40,530 | TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling. |
| volcengine/OpenViking | 37,452 | Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. |
| topoteretes/cognee | 30,701 | Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine. |
| supermemoryai/supermemory | 29,679 | Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era. |
| dolthub/dolt | 24,448 | Dolt – Git for Data |
| MemoriLabs/Memori | 16,751 | Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises. |
| NevaMind-AI/memU | 14,410 | Personal memory across agents |
| EverMind-AI/EverOS | 12,978 | One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows. |
结果的适用范围
- Google Trends 衡量相对搜索关注度，不能直接代表客户数、收入或付费意愿。
- 供给统计覆盖所选 GitHub 主题下的活跃仓库，不包含未标注主题的项目或闭源竞品。
搜索热度反映关注度，不能代表付费客户。分类门槛为公开的启发式规则，仍需实证校准。
